Topic: Science

2027 Human Genetics and Genomics Conference

The 2027 Gordon Research Conference on Human Genetics and Genomics will convene researchers for intensive discussion of current developments across human genetics and genomic science. The meeting uses the GRC application model, with attendance applications accepted through May 30, 2027 unless the conference becomes oversubscribed earlier.

ISSCR 2027 Annual Meeting

Annual meeting of the International Society for Stem Cell Research at the Moscone West Convention Center, San Francisco, recognizing 25 years of discovery, collaboration, and progress in stem cell science.

FENS Regional Meeting 2027

FENS Regional Meeting held 26-29 May 2027 in Istanbul, Turkey, jointly organised by the Neuroscience Society of Turkey, the Hellenic Society for Neuroscience, the Serbian Neuroscience Society and the Slovenian Neuroscience Association.

VSS 2027

The 2027 Annual Meeting of the Vision Sciences Society, held May 21-25, 2027 in Seattle, Washington, gathering the interdisciplinary vision science community spanning visual perception, psychophysics, and visual neuroscience.

Comparative (neuro)science in insects

This EMBO Workshop integrates developmental biology, sensory neuroscience, central circuits, motor control, behavior, population genetics, genomics, and ecology to advance comparative insect neuroscience. Early-career researchers are prioritized for selected talks, and all accepted participants present their work.

AACR Annual Meeting 2027

The American Association for Cancer Research's flagship annual meeting, themed 'Delivering Discovery Science: The Bridge to Breakthrough Therapeutics', at the Orange County Convention Center in Orlando, Florida.

Cosyne 2027

The annual Computational and Systems Neuroscience (Cosyne) meeting, an exchange forum for experimental and theoretical/computational approaches to problems in systems neuroscience. Cosyne returns to Montreal, Canada, from 11-16 March 2027.

Cancer Neuroscience: Neural Mechanisms as Therapeutic Targets in Cancer

This Keystone Symposium examines how nerves and neural activity shape cancer initiation, progression, metastasis, cognition, and treatment, with a focus on actionable therapeutic targets.

EMBO Postdoctoral Fellowships

Supports internationally mobile postdoctoral researchers in the life sciences for up to two years, including a salary or stipend, a relocation allowance and support for fellows with children. Applications accepted throughout the year; next hard cutoff 22 January 2027, 14:00 CET.

National Science Foundation Translation to Practice (NSF TTP)

NSF support for translating research discoveries and innovations toward practical use through the TTP Translational and Partnership tracks.

Neuroscience 2026

The Society for Neuroscience annual meeting brings together the global neuroscience community for lectures, symposia, nanosymposia, posters, professional-development sessions and exhibits. The 2026 meeting offers in-person participation in Washington, D.C. and a virtual component with posters and livestreamed featured lectures.

Knight Initiative - Rosenkranz Aging Symposium

An in-person Stanford symposium highlighting recent progress in brain resilience and aging research, followed by a neuroscience poster session featuring work from the Stanford community.

Emily Jacobs - New frontiers in women's brain health

Emily Jacobs will examine how endocrine transitions such as the circadian cycle, menstrual cycle, pregnancy, and menopause reshape the human brain. The talk combines precision brain imaging with a review of research, policy, and funding efforts intended to close persistent gaps in women's brain-health evidence.

Simons Collaborations in Mathematics and the Physical Sciences

The Simons Foundation invites letters of intent for ambitious collaborations addressing fundamental questions of major importance in mathematics, theoretical physics, or theoretical computer science. Awards support multi-investigator teams across career stages for four years, with up to three new collaborations expected to begin in January 2028.

The 2026 Picower Lecture with Richard L. Huganir

Richard L. Huganir discusses research on the molecular mechanisms that regulate glutamate receptors, the brain's major excitatory neurotransmitter receptors, and thereby modulate communication between neurons.

HICCC Cancer Neuroscience Symposium

Columbia's half-day symposium examines neural mechanisms in brain, gastrointestinal, pancreatic, and lung cancers. The program spans neuron-glioma crosstalk, tumor-induced neurological dysfunction, cancer pain circuits, peripheral nervous-system structure, metabolism, and therapeutic targets.

2026 Lake Conference - Comparative and Evolutionary Neurobiology

This Lake Conference is a 3.5-day forum on comparative and evolutionary approaches to nervous-system function. The program includes invited and selected talks, poster sessions, comparative genomics and genetics, evolutionary and developmental mechanisms, and evolutionary neuroscience systems biology.

A Riemannian Geometry Perspective on Foundation Models

Oden Institute Seminar by Rex Ying (Yale University) on how non-Euclidean geometries, particularly hyperbolic geometry, can enhance foundation models by better capturing hierarchies and symmetries in real-world data, with applications across Transformers, language model training, multimodal systems, and recommender systems.

Wu Tsai Neurosciences Institute Symposium 2026: Building the Brain

This Stanford symposium examines how molecular, cellular, and circuit-level advances in neurodevelopment shape understanding of behavior and health, with scientific talks, awards, and a poster session.

UKRI Translation: BBSRC Proof of Concept 2026

Funding to translate bioscience research into innovations such as products, services and solutions with real-world economic, societal and environmental impact. Opened 5 August 2026; £3,000,000 total, £100,000–£800,000 per project at 80% full economic cost.

EMBL Entrepreneurial Minds - Beyond the Structure: My Journey Through Science, Innovation and Life Choices

Ilaria Ferlenghi discusses a career spanning structural biology, cryo-electron microscopy, vaccine research and development, and the growing role of artificial intelligence and machine learning in scientific innovation and entrepreneurship.

Takaki Komiyama - A cell-type-specific cortical circuit for maintenance of value representations

Takaki Komiyama will discuss how cortical circuits maintain information about the value of behavioral options across trials and transform past experience into future choices. The talk draws on longitudinal imaging and circuit manipulation in mice to examine distinct neuronal populations and local and long-range interactions in history-dependent decision-making.

A cell-type-specific cortical circuit for maintenance of value representations

Takaki Komiyama presents longitudinal imaging and circuit-manipulation studies of history-dependent decision-making. The work identifies retrosplenial-cortex populations and local and long-range interactions that maintain option values across trials, update them after outcomes and translate past experience into future choices.

Superconducting qubit control on millisecond timescales: from rapid feedback to new qubit dynamics

Seminar by Morten Kjaergaard (Niels Bohr Institute, University of Copenhagen) on rapid FPGA-based feedback for superconducting qubits, including sparse-sampling techniques and on-FPGA inference enabling millisecond-timescale T1 estimation, ~100 ms readout optimization, and over 74,000 consecutive recalibrations in closed-loop operation.

BRAIN Initiative: Research Resource Grants for Technology Integration and Dissemination (U24 Clinical Trial Not Allowed)

This NIH BRAIN Initiative opportunity supports dissemination of existing resources into neuroscience research practice. Activities may include distribution of tools and reagents, training in new technologies, access to technology platforms or specialized facilities, minor improvements to resource delivery, and adaptations for user communities.

BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed)

This NIH BRAIN Initiative funding opportunity supports new or substantially advanced theories, mechanistic or predictive models, and computational or statistical methods that improve quantitative understanding of brain function across scales. Tools must address complex neural and behavioral data and be made broadly available to the neuroscience research community.

Colloquium on the Brain and Cognition with Christopher Harvey, PhD, Harvard University

Picower Institute Colloquium on the Brain and Cognition featuring Christopher Harvey, PhD, of Harvard University, held in Singleton Auditorium (46-3002) at MIT Building 46, 43 Vassar Street.

Simons Symposia 2026 call for proposals

The Simons Foundation invites proposals to organize new symposium series in mathematics and theoretical physics, including theoretical computer science. Selected series may comprise up to three weeklong meetings with travel, lodging, and meals covered for participants, creating sustained time for collaboration on timely research problems.

Targeted Grants to Institutes

Supports established institutes and research centers in mathematics and the physical sciences to strengthen contacts within the international scientific community; up to $750,000 (inclusive of 20% indirect costs) over a three-year award period, with up to ten grants each year.

Integrative Structural Biology: Bridging Fields, Techniques, and Scales

This Keystone Symposium brings structural and cellular biologists together to integrate cryo-electron microscopy, super-resolution and multiscale imaging, data science, computational modeling and deep learning. The programme connects molecular structure to tissue-level function and includes in-person, livestream and on-demand participation.

Bernstein Conference 2026

Annual conference of the Bernstein Network Computational Neuroscience, bringing together students, postdocs and PIs from around the world to meet and discuss new scientific discoveries in computational neuroscience. Satellite workshops Sep 28-29, main conference Sep 29-Oct 1 at Goethe University, Campus Westend, Frankfurt am Main.

6th Annual Precision Mental Health Symposium: From Circuits to Mindsets: Precision Mental Health in the Real World

Stanford's annual Precision Mental Health Symposium explores how neuroscience, psychiatry, data science, and artificial intelligence can translate brain research into real-world mental-health care. Themes include circuits and cognition, biomarkers and neuroimaging, rapid-acting interventions, neuromodulation, and precision therapeutics.

Biophysical underpinnings of computation and learning in the neocortex

Mark Harnett presents work on how synaptic organization, nonlinear dendritic processing, and neuronal activity patterns interact to support computation, flexibility, and learning in the adult mammalian neocortex. The Brain and Cognitive Sciences colloquium is followed by a reception.

Spin-directed Chiral Symmetry Breaking

Chemistry seminar by Prof. Yves Geerts (Université Libre de Bruxelles) on historical attempts by Pasteur and Curie to direct chiral symmetry breaking with external fields, why they failed, and how chirality-induced spin selectivity (CISS) under non-equilibrium conditions now enables enantiomer separation and control of molecular handedness.

Hidden Order: The Geometry of Complex Patterns

Salvatore Torquato gives a public lecture in the Simons Foundation's 2026 Randomness series, connecting the geometry of complex systems with random structures and applications across mathematics, computer science, physics and chemistry.

AI for the Sciences: towards understanding

ISTA Lecture by Klaus Robert Müller (TU Berlin & Korea University, Seoul) on how machine learning and AI enable scientific research, particularly in medicine and chemistry, and on explainability techniques for extracting understanding from machine learning models.

Lessons from the Dead

Z Yan Wang presents comparative neuroscience research on the brains and behaviors of octopuses and bumblebees to illuminate life-history processes. The talk is part of Columbia's Tuesdays@10 neuroscience seminar program for researchers across fields and career stages.

HFSP Accelerator Grant 2027

The HFSP Accelerator Grant helps eligible HFSP Research Grant teams add an independent group leader from an underrepresented eligible country, bringing complementary expertise and strengthening international life-science collaboration.

Early Sleep Biomarkers of Alzheimer's Disease Pathophysiology and Memory Impairment

Bryce Mander presents research on early sleep biomarkers associated with Alzheimer's disease pathophysiology and memory impairment. The William C. Dement Seminar connects sleep and circadian neuroscience with neurodegeneration, cognition and clinically relevant approaches to detecting disease-related change.

Deciphering the Dynamics of the Unconscious Brain under General Anesthesia

Stanford Neurosciences Seminar Series talk by Emery Brown (Massachusetts Institute of Technology, Neuroscience Statistics Research Lab) on deciphering the dynamics of the unconscious brain under general anesthesia, hosted by the Wu Tsai Neurosciences Institute.

Finding Meaning in Memories

Daphna Shohamy and Ashok Litwin-Kumar bridge experimental and computational neuroscience to explain how the brain assigns significance to memories, how dopamine shapes memory-guided decisions, and how bodily signals influence learning. Isabel Low moderates a public discussion and question session.

Ahlfors Lectures: Mohammed Abouzaid

Two-lecture series by Mohammed Abouzaid (Stanford): 'Framed bordism and nearby Lagrangians' (September 16) and 'Complex bordism and Hamiltonian fibrations' (September 17), on bordism-theoretic approaches to Lagrangian embeddings in symplectic manifolds and Arnold's nearby Lagrangian conjecture.

Kirk Public Lecture | An operator-algebraic perspective on topological orders

Kirk Public Lecture at the Isaac Newton Institute by Yoshiko Ogata (Kyoto University) on how macroscopic properties of matter emerge from quantum particle interactions and the classification of topological order from an operator-algebraic perspective in mathematical physics.

CMSA/Tsinghua Math-Science Literature Lecture: Robert Gompf

Robert E. Gompf (University of Texas, Austin) lectures on 'On classifying smoothings of R^4 - from the beginning to the present', tracing how 4-manifold topology emerged from the breakthroughs of Freedman and Donaldson and how Euclidean 4-space admits exotic smoothings that resist classification by countable numerical invariants.

SQI Seminar Series: Tal Linzen, NYU

Tal Linzen, an associate professor of linguistics and data science at New York University and a research scientist at Google, will speak in MIT's Siegel Family Quest for Intelligence seminar series. His work combines behavioral experiments and computational methods to study language learning and comprehension, alongside large-language-model post-training, evaluation, and interpretability.

Ensuring the Vitality of the Biomedical Research Workforce

Elena Fuentes-Afflick examines the state of the biomedical research workforce and the conditions needed to sustain a healthy, productive research enterprise. This NIH Wednesday Afternoon Lecture Series event is offered in person and through NIH VideoCast.

Mortality Displacement: Sixty Years of Debate and Consequences

Harvard T.H. Chan School of Public Health Department of Epidemiology seminar by David Jones, MD, PhD (Chair, Department of the History of Science, Harvard; Professor of Epidemiology) on the sixty-year history of 'mortality displacement' — the contested idea that pollution crises kill people already close to death — and its implications for policy.

Preparation of Tensor Network States

Isaac Newton Institute seminar in the 'Mathematics of many-body entanglement' (MMB) programme: Ignacio Cirac of the Max-Planck-Institut für Quantenoptik speaks on the preparation of tensor network states.

Margaret S. Livingstone, Ph.D. - PNI Seminar Series

Margaret Livingstone of Harvard Medical School presents in Princeton Neuroscience Institute's public seminar series. Livingstone's laboratory studies how visual recognition occurs in the primate brain using behavior, brain imaging, and electrophysiology.

Project Grants in the Natural and Technical Sciences 2026

Supports fundamental research within the natural and technical sciences with potential future applications in life science, health science or sustainability; up to DKK 4 million per project from a DKK 77 million grant capital in 2026. Call opened 19 June 2026.

NIH Director’s Transformative Research Award (R01 Clinical Trial Optional)

The NIH Common Fund supports individuals or teams pursuing exceptionally innovative, unconventional research with the potential to create or overturn major paradigms across biomedical and behavioral science.

Project Grants in Bioscience and Basic Biomedicine

Novo Nordisk Foundation open-competition project grants of DKK 1–4.5 million over 1–3 years for fundamental research anchored at a Danish university, hospital or non-profit research institution; call opened 18 June 2026, with an additional DKK 12 million reserved for a strategic theme on microbiota-host interactions.

Briefing Chat: How Dolly Parton left her mark on science

Nature reporters discuss Dolly Parton's advocacy for vaccines and public health alongside promising phase III results for a personalised mRNA cancer vaccine for melanoma.

Sperm health may matter more for pregnancy than we realized

Scientific American's Science Quickly examines new recommendations highlighting sperm DNA damage as an underrecognized contributor to recurrent miscarriage. Rachel Feltman and Sarah Elizabeth Richards discuss why conventional sperm tests can miss pregnancy-relevant problems and how broader assessment could change fertility care.

How to Improve Motivation & Overcome Procrastination | Dr. Masud Husain

Masud Husain explains the neuroscience of motivation, dopamine, effort, and reward, together with research on apathy, dementia, Parkinson's disease, Alzheimer's disease, and cognitive resilience.

Researchers test magic mushrooms as an anorexia treatment

Scientific American's Science Quickly examines an early pilot trial of psilocybin-assisted therapy for people with long-term anorexia. The episode carefully discusses reported changes in symptoms and motivation, possible neuroplasticity mechanisms, the small uncontrolled sample and the need for larger randomized studies and clinical safeguards.

Briefing Chat: New narcolepsy drug could unlock host of novel brain therapies

Nature staff discuss how a newly approved orexin-targeting narcolepsy drug could enable therapies for other neurological conditions, and examine human brain organoids that have remained viable for more than five years. The episode connects sleep medicine, therapeutic neuroscience, and long-term models of human brain development.

Why tracing cyclosporiasis is so tough, and a digestible probe for the microbiome

Science journalists discuss why the food-borne illness cyclosporiasis is difficult to track and a new map of a major highway in the human nervous system. Leslie Chan then explains an ingestible metabolic probe that detects gut-microbiome enzyme activity from volatile signals in the breath.

A black hole's spin could finally be measured by a high-speed star

This Nature Podcast episode reports on a high-speed star whose orbit could enable measurement of the spin of Sagittarius A*, the supermassive black hole at the centre of the Milky Way. The programme also examines how exoskeletons influence human movement and covers other current science stories.

BI 244 Marco Facchin: Philosophy and Science of Biological Brains

Marco Facchin joins Brain Inspired to discuss computationalism and alternatives in the philosophy and science of biological brains. The conversation covers embodied and 4E cognition, predictive processing, artificial intelligence, metabolic constraints, biological detail, and how theories of mind relate to consciousness and neuroscience.

Neuroscience of Emotions & Tools for Improving Emotion Regulation | Dr. Ralph Adolphs

Ralph Adolphs explains how the brain creates emotions including fear, joy, and awe, and discusses evidence-based approaches to emotion regulation. The episode connects neural mechanisms with attention, decision-making, and bodily state.

Special Seminar with Hee-Sup Shin, MD, PhD, Institute for Basic Science (IBS)

Special seminar at MIT's Picower Institute for Learning and Memory with neuroscientist Hee-Sup Shin, MD, PhD, of the Institute for Basic Science (IBS), held in the Picower Seminar Room (46-3310) at 43 Vassar Street.

Modeling Genetic Effects Across Contexts and Phenotypes

Convergence Seminar by Alexis Battle, PhD (Wu and Zhang Professor of Biomedical Engineering and Computer Science, Johns Hopkins University), on computational and machine-learning approaches for analyzing how genetic variation impacts gene regulation and disease, including noncoding sequences and rare variants.

Emerging NeuroTech: Ultrasound in Neuroscience

MIT researchers and students are invited to two talks on emerging applications of ultrasound for non-invasive brain imaging, neural modulation and wearable human-machine interaction.

Emerging NeuroTech: Ultrasound in Neuroscience

Two talks present emerging applications of ultrasound technology in neuroscience, spanning brain imaging and human-machine interaction. The in-person seminar is open to MIT researchers, students, and staff and is supported by the MIT School of Science and the Feng Lab at the McGovern Institute.

Career Awards at the Scientific Interface

CASI provides $560,000 over five years to bridge advanced postdoctoral training and the first years of faculty service for researchers from mathematics, physics, chemistry, computer science, statistics or engineering applying their expertise to biological questions. Pre-proposals due August 14, 2026, 3 pm EDT.

Defining profilin function in mammalian actin dynamics and cell behaviour

Klemens Rottner (Helmholtz Centre for Infection Research, Braunschweig) presents evidence that profilin acts as a master regulator of actin filament dynamics essential for cell migration and growth, controlling both formin- and Arp2/3 complex-dependent actin assembly pathways.

Essentials: Control Your Brain Chemistry for Focus, Motivation & Well-Being

Andrew Huberman explains how key neuromodulators shape motivation, energy, focus and mood, with science-supported behavioral, nutritional and supplement strategies.

Episode 104: July 2026

This eLife episode explores trade-offs between body size and sperm production in gorillas, fever-driven changes in malaria-infected cells, the neuroscience of gambling machines, whether infants are predisposed to dance, and high-altitude adaptations in bird eggs.

Briefing Chat: The 30 year-legacy of a science icon — Dolly the sheep

Nature staff revisit the landmark cloning of Dolly the sheep from an adult cell and discuss the first direct observation of ocean-floor crust being created.

FENS Forum 2026

Europe’s leading neuroscience conference, bringing together researchers, clinicians, and innovators across molecular, cellular, systems, cognitive, and clinical neuroscience.

Togetherness: How cooperation built the world

Science journalist Rowan Hooper joins the Nature Podcast to explore symbiosis, cooperation, and the importance of organisms working together across the living world.

Audio long read: Is the peptide craze backed by science? The promise behind the hype

Nature examines the booming market for unregulated peptides and asks whether scientific evidence supports the health and wellness claims driving their popularity.

Decoding stress vulnerability

Although stress can be considered as an ongoing process that helps an organism to cope with present and future challenges, when it is too intense or uncontrollable, it can lead to adverse consequences for physical and mental health. Social stress specifically, is a highly prevalent traumatic experience, present in multiple contexts, such as war, bullying and interpersonal violence, and it has been linked with increased risk for major depression and anxiety disorders. Nevertheless, not all individuals exposed to strong stressful events develop psychopathology, with the mechanisms of resilience and vulnerability being still under investigation. During this talk, I will identify key gaps in our knowledge about stress vulnerability and I will present our recent data from our contextual fear learning protocol based on social defeat stress in mice.

sensorimotor control, mouvement, touch, EEG

Traditionally, touch is associated with exteroception and is rarely considered a relevant sensory cue for controlling movements in space, unlike vision. We developed a technique to isolate and measure tactile involvement in controlling sliding finger movements over a surface. Young adults traced a 2D shape with their index finger under direct or mirror-reversed visual feedback to create a conflict between visual and somatosensory inputs. In this context, increased reliance on somatosensory input compromises movement accuracy. Based on the hypothesis that tactile cues contribute to guiding hand movements when in contact with a surface, we predicted poorer performance when the participants traced with their bare finger compared to when their tactile sensation was dampened by a smooth, rigid finger splint. The results supported this prediction. EEG source analyses revealed smaller current in the source-localized somatosensory cortex during sensory conflict when the finger directly touched the surface. This finding supports the hypothesis that, in response to mirror-reversed visual feedback, the central nervous system selectively gated task-irrelevant somatosensory inputs, thereby mitigating, though not entirely resolving, the visuo-somatosensory conflict. Together, our results emphasize touch’s involvement in movement control over a surface, challenging the notion that vision predominantly governs goal-directed hand or finger movements.

Computational Mechanisms of Predictive Processing in Brains and Machines

Predictive processing offers a unifying view of neural computation, proposing that brains continuously anticipate sensory input and update internal models based on prediction errors. In this talk, I will present converging evidence for the computational mechanisms underlying this framework across human neuroscience and deep neural networks. I will begin with recent work showing that large-scale distributed prediction-error encoding in the human brain directly predicts how sensory representations reorganize through predictive learning. I will then turn to PredNet, a popular predictive coding inspired deep network that has been widely used to model real-world biological vision systems. Using dynamic stimuli generated with our Spatiotemporal Style Transfer algorithm, we demonstrate that PredNet relies primarily on low-level spatiotemporal structure and remains insensitive to high-level content, revealing limits in its generalization capacity. Finally, I will discuss new recurrent vision models that integrate top-down feedback connections with intrinsic neural variability, uncovering a dual mechanism for robust sensory coding in which neural variability decorrelates unit responses, while top-down feedback stabilizes network dynamics. Together, these results outline how prediction error signaling and top-down feedback pathways shape adaptive sensory processing in biological and artificial systems.

High Stakes in the Adolescent Brain: Glia Ignite Under THC’s Influence

Computational bio-imaging via inverse scattering

Optical imaging is a major research tool in the basic sciences, and is the only imaging modality that routinely enables non-ionized imaging with subcellular spatial resolutions and high imaging speeds. In biological imaging applications, however, optical imaging is limited by tissue scattering to short imaging depths. This prevents large-scale bio-imaging by allowing visualization of only the outer superficial layers of an organism, or specific components isolated from within the organism and prepared in-vitro.

Convergent large-scale network and local vulnerabilities underlie brain atrophy across Parkinson’s disease stages

The tubulin code in neuron health and disease : focus on detyrosination

Memory Decoding Journal Club: "Connectomic traces of Hebbian plasticity in the entorhinalhippocampal system

Connectomic traces of Hebbian plasticity in the entorhinalhippocampal system

AutoMIND: Deep inverse models for revealing neural circuit invariances

Endocannabinoid System Dysregulations in Binge Eating Disorder and Obesity

Memory Decoding Journal Club: Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning

Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning

Go with the visual flow: circuit mechanisms for gaze control during locomotion

The SIMple microscope: Development of a fibre-based platform for accessible SIM imaging in unconventional environments

Advancements in imaging speed, depth and resolution have made structured illumination microscopy (SIM) an increasingly powerful optical sectioning (OS) and super-resolution (SR) technique, but these developments remain inaccessible to many life science researchers due to the cost, optical complexity and delicacy of these instruments. We address these limitations by redesigning the optical path using in-line fibre components that are compact, lightweight and easily assembled in a “Plug & Play” modality, without compromising imaging performance. They can be integrated into an existing widefield microscope with a minimum of optical components and alignment, making OS-SIM more accessible to researchers with less optics experience. We also demonstrate a complete SR-SIM imaging system with dimensions 300 mm × 300 mm × 450 mm. We propose to enable accessible SIM imaging by utilising its compact, lightweight and robust design to transport it where it is needed, and image in “unconventional” environments where factors such as temperature and biosafety considerations currently limit imaging experiments.

Memory Decoding Journal Club: Behavioral time scale synaptic plasticity underlies CA1 place fields

Behavioral time scale synaptic plasticity underlies CA1 place fields

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

Memory Decoding Journal Club: "Connectomic reconstruction of a cortical column" cortical column

Connectomic reconstruction of a cortical column

The Systems Vision Science Summer School & Symposium, August 11 – 22, 2025, Tuebingen, Germany

Applications are invited for our third edition of Systems Vision Science (SVS) summer school since 2023, designed for everyone interested in gaining a systems level understanding of biological vision. We plan a coherent, graduate-level, syllabus on the integration of experimental data with theory and models, featuring lectures, guided exercises and discussion sessions. The summer school will end with a Systems Vision Science symposium on frontier topics on August 20-22, with additional invited and contributed presentations and posters. Call for contributions and participations to the symposium will be sent out spring of 2025. All summer school participants are invited to attend, and welcome to submit contributions to the symposium.

OpenNeuro FitLins GLM: An Accessible, Semi-Automated Pipeline for OpenNeuro Task fMRI Analysis

In this talk, I will discuss the OpenNeuro Fitlins GLM package and provide an illustration of the analytic workflow. OpenNeuro FitLins GLM is a semi-automated pipeline that reduces barriers to analyzing task-based fMRI data from OpenNeuro's 600+ task datasets. Created for psychology, psychiatry and cognitive neuroscience researchers without extensive computational expertise, this tool automates what is largely a manual process and compilation of in-house scripts for data retrieval, validation, quality control, statistical modeling and reporting that, in some cases, may require weeks of effort. The workflow abides by open-science practices, enhancing reproducibility and incorporates community feedback for model improvement. The pipeline integrates BIDS-compliant datasets and fMRIPrep preprocessed derivatives, and dynamically creates BIDS Statistical Model specifications (with Fitlins) to perform common mass univariate [GLM] analyses. To enhance and standardize reporting, it generates comprehensive reports which includes design matrices, statistical maps and COBIDAS-aligned reporting that is fully reproducible from the model specifications and derivatives. OpenNeuro Fitlins GLM has been tested on over 30 datasets spanning 50+ unique fMRI tasks (e.g., working memory, social processing, emotion regulation, decision-making, motor paradigms), reducing analysis times from weeks to hours when using high-performance computers, thereby enabling researchers to conduct robust single-study, meta- and mega-analyses of task fMRI data with significantly improved accessibility, standardized reporting and reproducibility.

Memory Decoding Journal Club: "Binary and analog variation of synapses between cortical pyramidal neurons

Binary and analog variation of synapses between cortical pyramidal neurons

Understanding reward-guided learning using large-scale datasets

Understanding the neural mechanisms of reward-guided learning is a long-standing goal of computational neuroscience. Recent methodological innovations enable us to collect ever larger neural and behavioral datasets. This presents opportunities to achieve greater understanding of learning in the brain at scale, as well as methodological challenges. In the first part of the talk, I will discuss our recent insights into the mechanisms by which zebra finch songbirds learn to sing. Dopamine has been long thought to guide reward-based trial-and-error learning by encoding reward prediction errors. However, it is unknown whether the learning of natural behaviours, such as developmental vocal learning, occurs through dopamine-based reinforcement. Longitudinal recordings of dopamine and bird songs reveal that dopamine activity is indeed consistent with encoding a reward prediction error during naturalistic learning. In the second part of the talk, I will talk about recent work we are doing at DeepMind to develop tools for automatically discovering interpretable models of behavior directly from animal choice data. Our method, dubbed CogFunSearch, uses LLMs within an evolutionary search process in order to "discover" novel models in the form of Python programs that excel at accurately predicting animal behavior during reward-guided learning. The discovered programs reveal novel patterns of learning and choice behavior that update our understanding of how the brain solves reinforcement learning problems.

Digital Traces of Human Behaviour: From Political Mobilisation to Conspiracy Narratives

Digital platforms generate unprecedented traces of human behaviour, offering new methodological approaches to understanding collective action, polarisation, and social dynamics. Through analysis of millions of digital traces across multiple studies, we demonstrate how online behaviours predict offline action: Brexit-related tribal discourse responds to real-world events, machine learning models achieve 80% accuracy in predicting real-world protest attendance from digital signals, and social validation through "likes" emerges as a key driver of mobilization. Extending this approach to conspiracy narratives reveals how digital traces illuminate psychological mechanisms of belief and community formation. Longitudinal analysis of YouTube conspiracy content demonstrates how narratives systematically address existential, epistemic, and social needs, while examination of alt-tech platforms shows how emotions of anger, contempt, and disgust correlate with violence-legitimating discourse, with significant differences between narratives associated with offline violence versus peaceful communities. This work establishes digital traces as both methodological innovation and theoretical lens, demonstrating that computational social science can illuminate fundamental questions about polarisation, mobilisation, and collective behaviour across contexts from electoral politics to conspiracy communities.

“Brain theory, what is it or what should it be?”

n the neurosciences the need for some 'overarching' theory is sometimes expressed, but it is not always obvious what is meant by this. One can perhaps agree that in modern science observation and experimentation is normally complemented by 'theory', i.e. the development of theoretical concepts that help guiding and evaluating experiments and measurements. A deeper discussion of 'brain theory' will require the clarification of some further distictions, in particular: theory vs. model and brain research (and its theory) vs. neuroscience. Other questions are: Does a theory require mathematics? Or even differential equations? Today it is often taken for granted that the whole universe including everything in it, for example humans, animals, and plants, can be adequately treated by physics and therefore theoretical physics is the overarching theory. Even if this is the case, it has turned out that in some particular parts of physics (the historical example is thermodynamics) it may be useful to simplify the theory by introducing additional theoretical concepts that can in principle be 'reduced' to more complex descriptions on the 'microscopic' level of basic physical particals and forces. In this sense, brain theory may be regarded as part of theoretical neuroscience, which is inside biophysics and therefore inside physics, or theoretical physics. Still, in neuroscience and brain research, additional concepts are typically used to describe results and help guiding experimentation that are 'outside' physics, beginning with neurons and synapses, names of brain parts and areas, up to concepts like 'learning', 'motivation', 'attention'. Certainly, we do not yet have one theory that includes all these concepts. So 'brain theory' is still in a 'pre-newtonian' state. However, it may still be useful to understand in general the relations between a larger theory and its 'parts', or between microscopic and macroscopic theories, or between theories at different 'levels' of description. This is what I plan to do.

Seeing a changing world through the eyes of coral fishes

COSYNE 2025

The COSYNE 2025 conference was held in Montreal with post-conference workshops in Mont-Tremblant, continuing to provide a premier forum for computational and systems neuroscience. Attendees exchanged cutting-edge research in a single-track main meeting and in-depth specialized workshops, reflecting Cosyne’s mission to understand how neural systems function.

Bernstein Conference 2024

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. Bernstein Conference 2024, held in Frankfurt am Main, featured discussions, keynote lectures, and poster sessions, and has established itself as one of the most renowned conferences worldwide in this field.

FENS Forum 2024

Organised by FENS in partnership with the Austrian Neuroscience Association and the Hungarian Neuroscience Society, the FENS Forum 2024 will take place on 25–29 June 2024 in Vienna, Austria. The FENS Forum is Europe’s largest neuroscience congress, covering all areas of neuroscience from basic to translational research.

COSYNE 2023

The COSYNE 2023 conference provided an inclusive forum for exchanging experimental and theoretical approaches to problems in systems neuroscience, continuing the tradition of bringing together the computational neuroscience community. The main meeting was held in Montreal followed by post-conference workshops in Mont-Tremblant, fostering intensive discussions and collaboration.

Neuromatch 5

Neuromatch 5 (Neuromatch Conference 2022) was a fully virtual conference focused on computational neuroscience broadly construed, including machine learning work with explicit biological links. After four successful Neuromatch conferences, the fifth edition consolidated proven innovations from past events, featuring a series of talks hosted on Crowdcast and flash talk sessions (pre-recorded videos) with dedicated discussion times on Reddit.

COSYNE 2022

The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The main meeting is single-track, with invited talks selected by the Executive Committee and additional talks and posters selected by the Program Committee based on submitted abstracts. The workshops feature in-depth discussion of current topics of interest in a small group setting.

NSF 26-517: Core Research in Biological Sciences (BIO Core)

The National Science Foundation's BIO Core solicitation supports fundamental biological research across scales, including the neural basis of cognition. The new solicitation was posted on 17 August 2026, accepts proposals at any time, anticipates 250 to 300 awards, and replaces earlier core-program guidance in the Directorate for Biological Sciences.

Targeted Grants in MPS

Supports high-risk projects of exceptional promise and scientific importance in mathematics and the physical sciences, with funding for up to five years; letters of intent are accepted on a rolling basis and there is no recommended or assumed funding level.

Computer and Information Science and Engineering: Future Computing Research (Future CoRe)

Active NSF solicitation (NSF 25-543) funding core computer and information science and engineering research. Proposals are accepted anytime, with target dates (second Thursday in September and first Thursday in February annually) for panel review cycles; projects up to $1,000,000 and 4 years.

New Ideas - Request for Applications

The Simons Foundation Autism Research Initiative supports bold, high-risk, high-reward ideas that could open new directions in autism science. Letters of intent are accepted on a rolling basis, with selected applicants invited to submit a full application for projects lasting up to two years.

EPSRC New Investigator Award: applicant-led mode

The Engineering and Physical Sciences Research Council supports early-career researchers making their first application as project lead to develop an independent research vision and establish a research group. Applications can address any EPSRC-remit field, including artificial intelligence, healthcare technologies, engineering, mathematical sciences, physical sciences, clean energy, security, and quantum technologies.

Open-source solutions for research data management in neuroscience collaborations

Bernstein Conference 2024

Advancing neuroscience education without borders: make your training resources FAIR with INCF!

Neuromatch 5

Optimization techniques for machine learning based classification involving large-scale neuroscience datasets

Neuromatch 5

Cleo: a simulation testbed for bridging model and experiment in mesoscale neuroscience

Neuromatch 5

Bottom-up approach to preprint peer-review: PCI Neuroscience

Neuromatch 5

Responses to inconsistent stimuli in pyramidal neurons: An open science dataset

COSYNE 2023

Computational Neuroscience in the Arabic region

Neuromatch 5

Review of applications of graph theory and network neuroscience in the development of artificial neural networks

Neuromatch 5