Latest
FENS Forum 2026
Europe’s leading neuroscience conference, bringing together researchers, clinicians, and innovators across molecular, cellular, systems, cognitive, and clinical neuroscience.
Untitled Seminar
Untitled Seminar
Adventures in Spin Labeling: Clinical Perfusion Imaging and the Path to Technical Innovation
Arterial spin labeling (ASL) MRI has become a vital tool in clinical neuroimaging, enabling noninvasive assessment of cerebral perfusion across a range of conditions including stroke, vascular malformations, and brain tumors. With broader clinical adoption, its practical strengths — as well as important limitations — have become increasingly clear.
Striatal activity in natural behavior
Honorary Lecture 2026
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.
Predictive Coding Light
Current machine learning systems consume vastly more energy than biological brains. Neuromorphic systems aim to overcome this difference by mimicking the brain’s information coding via discrete voltage spikes. However, it remains unclear how both artificial and natural networks of spiking neurons can learn energy-efficient information processing strategies. Here we propose Predictive Coding Light (PCL), a recurrent hierarchical spiking neural network for unsupervised representation learning. In contrast to previous predictive coding approaches, PCL does not transmit prediction errors to higher processing stages. Instead, it suppresses the most predictable spikes and transmits a compressed representation of the input. Using only biologically plausible spike-timing based learning rules, PCL reproduces a wealth of findings on information processing in visual cortex and permits strong performance in downstream classification tasks. Overall, PCL offers a new approach to predictive coding and its implementation in natural and artificial spiking neural networks
Untitled Seminar
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.
Consciousness at the edge of chaos
Over the last 20 years, neuroimaging and electrophysiology techniques have become central to understanding the mechanisms that accompany loss and recovery of consciousness. Much of this research is performed in the context of healthy individuals with neurotypical brain dynamics. Yet, a true understanding of how consciousness emerges from the joint action of neurons has to account for how severely pathological brains, often showing phenotypes typical of unconsciousness, can nonetheless generate a subjective viewpoint. In this presentation, I will start from the context of Disorders of Consciousness and will discuss recent work aimed at finding generalizable signatures of consciousness that are reliable across a spectrum of brain electrophysiological phenotypes focusing in particular on the notion of edge-of-chaos criticality.
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.
Developmental emergence of personality
The Nature versus Nurture debate has generally been considered from the lens of genome versus experience dichotomy and has dominated our thinking about behavioral individuality and personality traits. In contrast, the role of nonheritable noise during brain development in behavioral variation is understudied. Using the Drosophila melanogaster visual system, I will discuss our efforts to dissect how individuality in circuit wiring emerges during development, and how that helps generate individual behavioral variation.
A human stem cell-derived organoid model of the trigeminal ganglion
Choice between methamphetamine and food is modulated by reinforcement interval and central drug metabolism
High Stakes in the Adolescent Brain: Glia Ignite Under THC’s Influence
Prefrontal-thalamic goal-state coding segregates navigation episodes into spatially consistent parallel hippocampal maps
Microglia regulate remyelination via inflammatory phenotypic polarization in CNS demyelinating disorders
Top-down control of neocortical threat memory
Accurate perception of the environment is a constructive process that requires integration of external bottom-up sensory signals with internally-generated top-down information reflecting past experiences and current aims. Decades of work have elucidated how sensory neocortex processes physical stimulus features. In contrast, examining how memory-related-top-down information is encoded and integrated with bottom-up signals has long been challenging. Here, I will discuss our recent work pinpointing the outermost layer 1 of neocortex as a central hotspot for processing of experience-dependent top-down information threat during perception, one of the most fundamentally important forms of sensation.
MRI investigation of orientation-dependent changes in microstructure and function in a mouse model of mild traumatic brain injury
Convergent large-scale network and local vulnerabilities underlie brain atrophy across Parkinson’s disease stages
Biomolecular condensates as drivers of neuroinflammation
Organization of thalamic networks and mechanisms of dysfunction in schizophrenia and autism
Thalamic networks, at the core of thalamocortical and thalamosubcortical communications, underlie processes of perception, attention, memory, emotions, and the sleep-wake cycle, and are disrupted in mental disorders, including schizophrenia and autism. However, the underlying mechanisms of pathology are unknown. I will present novel evidence on key organizational principles, structural, and molecular features of thalamocortical networks, as well as critical thalamic pathway interactions that are likely affected in disorders. This data can facilitate modeling typical and abnormal brain function and can provide the foundation to understand heterogeneous disruption of these networks in sleep disorders, attention deficits, and cognitive and affective impairments in schizophrenia and autism, with important implications for the design of targeted therapeutic interventions
Temporal Hierarchies in Reward and Behavioral Control
Spike train structure of cortical transcriptomic populations in vivo
The cortex comprises many neuronal types, which can be distinguished by their transcriptomes: the sets of genes they express. Little is known about the in vivo activity of these cell types, particularly as regards the structure of their spike trains, which might provide clues to cortical circuit function. To address this question, we used Neuropixels electrodes to record layer 5 excitatory populations in mouse V1, then transcriptomically identified the recorded cell types. To do so, we performed a subsequent recording of the same cells using 2-photon (2p) calcium imaging, identifying neurons between the two recording modalities by fingerprinting their responses to a “zebra noise” stimulus and estimating the path of the electrode through the 2p stack with a probabilistic method. We then cut brain slices and performed in situ transcriptomics to localize ~300 genes using coppaFISH3d, a new open source method, and aligned the transcriptomic data to the 2p stack. Analysis of the data is ongoing, and suggests substantial differences in spike time coordination between ET and IT neurons, as well as between transcriptomic subtypes of both these excitatory types.
Generation and use of internal models of the world to guide flexible behavior
NF1 exon 51 alternative splicing: functional implications in Central Nervous System (CNS) Cells
Memory Decoding Journal Club: Functional connectomics reveals general wiring rule in mouse visual cortex
Functional connectomics reveals general wiring rule in mouse visual cortex
The tubulin code in neuron health and disease : focus on detyrosination
Competing Rhythms: Understanding and Modulating Auditory Neural Entrainment
Memory Decoding Journal Club: "Connectomic traces of Hebbian plasticity in the entorhinalhippocampal system
Connectomic traces of Hebbian plasticity in the entorhinalhippocampal system
Astrocytes: From Metabolism to Cognition
Different brain cell types exhibit distinct metabolic signatures that link energy economy to cellular function. Astrocytes and neurons, for instance, diverge dramatically in their reliance on glycolysis versus oxidative phosphorylation, underscoring that metabolic fuel efficiency is not uniform across cell types. A key factor shaping this divergence is the structural organization of the mitochondrial respiratory chain into supercomplexes. Specifically, complexes I (CI) and III (CIII) form a CI–CIII supercomplex, but the degree of this assembly varies by cell type. In neurons, CI is predominantly integrated into supercomplexes, resulting in highly efficient mitochondrial respiration and minimal reactive oxygen species (ROS) generation. Conversely, in astrocytes, a larger fraction of CI remains unassembled, freely existing apart from CIII, leading to reduced respiratory efficiency and elevated mitochondrial ROS production. Despite this apparent inefficiency, astrocytes boast a highly adaptable metabolism capable of responding to diverse stressors. Their looser CI–CIII organization allows for flexible ROS signaling, which activates antioxidant programs via transcription factors like Nrf2. This modular architecture enables astrocytes not only to balance energy production but also to support neuronal health and influence complex organismal behaviors.
Cellular Crosstalk in Brain Development, Evolution and Disease
Cellular crosstalk is an essential process during brain development and is influenced by numerous factors, including cell morphology, adhesion, the local extracellular matrix and secreted vesicles. Inspired by mutations associated with neurodevelopmental disorders, we focus on understanding the role of extracellular mechanisms essential for the proper development of the human brain. Therefore, we combine 2D and 3D in vitro human models to better understand the molecular and cellular mechanisms involved in progenitor proliferation and fate, migration and maturation of excitatory and inhibitory neurons during human brain development and tackle the causes of neurodevelopmental disorders.
Development of an Optical and Colorimetric Biosensor for the Quantification of Microrna 184 for Late Life Depression
AutoMIND: Deep inverse models for revealing neural circuit invariances
Endocannabinoid System Dysregulations in Binge Eating Disorder and Obesity
The basal ganglia and addiction
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
Low intensity rTMS: age dependent effects, and mechanisms underlying neural plasticity
Neuroplasticity is essential for the establishment and strengthening of neural circuits. Repetitive transcranial magnetic stimulation (rTMS) is commonly used to modulate cortical excitability and shows promise in the treatment of some neurological disorders. Low intensity magnetic stimulation (LI-rTMS), which does not directly elicit action potentials in the stimulated neurons, have also shown some therapeutic effects, and it is important to determine the biological mechanisms underlying the effects of these low intensity magnetic fields, such as would occur in the regions surrounding the central high-intensity focus of rTMS. Our team has used a focal low-intensity (10mT) magnetic stimulation approach to address some of these questions and to identify cellular mechanisms. I will present several studies from our laboratory, addressing (1) effects of LIrTMS on neuronal activity and excitability ; and (2) neuronal morphology and post-lesion repair. The ensemble of our results indicate that the effects of LI-rTMS depend upon the stimulation pattern, the age of the animal, and the presence of cellular magnetoreceptors.
Go with the visual flow: circuit mechanisms for gaze control during locomotion
Unpacking the role of the medial septum in spatial coding in the medial entorhinal cortex
Neural Representations of Abstract Cognitive Maps in Prefrontal Cortex and Medial Temporal Lobe
Memory Decoding Journal Club: A combinatorial neural code for long-term motor memory
A combinatorial neural code for long-term motor memory
How the presynapse forms and functions”
Nervous system function relies on the polarized architecture of neurons, established by directional transport of pre- and postsynaptic cargoes. While delivery of postsynaptic components depends on the secretory pathway, the identity of the membrane compartment(s) that supply presynaptic active zone (AZ) and synaptic vesicle (SV) proteins is largely unknown. I will discuss our recent advances in our understanding of how key components of the presynaptic machinery for neurotransmitter release are transported and assembled focussing on our studies in genome-engineered human induced pluripotent stem cell-derived neurons. Specifically, I will focus on the composition and cell biological identity of the axonal transport vesicles that shuttle key components of neurotransmission to nascent synapses and on machinery for axonal transport and its control by signaling lipids. Our studies identify a crucial mechanism mediating the delivery of SV and active zone proteins to developing synapses and reveal connections to neurological disorders. In the second part of my talk, I will discuss how exocytosis and endocytosis are coupled to maintain presynaptic membrane homeostasis. I will present unpublished data regarding the role of membrane tension in the coupling of exocytosis and endocytosis at synapses. We have identified an endocytic BAR domain protein that is capable of sensing alterations in membrane tension caused by the exocytotic fusion of SVs to initiate compensatory endocytosis to restore plasma membrane area. Interference with this mechanism results in defects in the coupling of presynaptic exocytosis and SV recycling at human synapses.
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.
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.
DECIPHERING AUTONOMIC DYSREGULATION IN EPILEPSY THROUGH VAGUS NERVE ACTIVITY
FENS Forum 2026
BEYOND “EMOTION BLINDNESS”: DISSOCIATING EMOTION LABELING, CONFIDENCE, AND FAIRNESS CHOICE IN ALEXITHYMIA
FENS Forum 2026
TARGETING VNUT: NEW INSIGHTS INTO BIOMARKER DISCOVERY AND THERAPY IN ALZHEIMER’S DISEASE
FENS Forum 2026
BRAIN-WIDE NETWORKS OF CATEGORY LEARNING IN THE MOUSE
FENS Forum 2026
NEUROPHYSIOLOGICAL DEVELOPMENT OF LAYER 3 PYRAMIDAL AND PARVALBUMIN NEURONS IN THE MOUSE PREFRONTAL CORTEX ACROSS ADOLESCENCE
FENS Forum 2026
CHARACTERIZING NEUROVASCULAR INTERACTIONS DURING EPILEPTIC SEIZURES IN ZEBRAFISH
FENS Forum 2026
LAMP2 MUTANT <EM>XENOPUS TROPICALIS</EM> SHOW HALLMARKS OF SYNAPSE-SPECIFIC ALTERATIONS
FENS Forum 2026
AGE-RELATED CHANGES IN THE METABOLIC AND COGNITIVE EFFECTS OF SYSTEMIC TNFΑ
FENS Forum 2026
ZAPIT: OPEN SOURCE RANDOM-ACCESS PHOTOSTIMULATION FOR NEUROSCIENCE
FENS Forum 2026
ENVIRONMENTAL ENRICHMENT COMPONENTS DIFFERENTIALLY INFLUENCE AMPHETAMINE-INDUCED BEHAVIORAL SENSITIZATION
FENS Forum 2026
IMPAIRED EFFORT ALLOCATION FOR REWARD AND IMPULSIVITY IN THE GRIN2A HYPOFUNCTION MOUSE MODEL FOR SCHIZOPHRENIA
FENS Forum 2026
THERAPEUTIC INHIBITION OF THE INTEGRATED STRESS RESPONSE RESTORES VISUAL FUNCTION IN A PRECLINICAL MULTIPLE SCLEROSIS MOUSE MODEL
FENS Forum 2026
THE TRANSCRIPTOMIC SIGNATURE OF THE PARAHIPPOCAMPAL CORTEX (PHC) ASSOCIATED WITH SUICIDE
FENS Forum 2026
TNF-ALPHA AS A CENTRAL METABOLIC AND REWARD FUNCTION MEDIATOR IN RODENT MODEL OF OBESITY INDUCED BY HIGH-FAT HIGH-SUGAR DIETS
FENS Forum 2026
CORTICOSTERONE REPROGRAMS ASTROCYTE METABOLISM TOWARD A PENTOSE PHOSPHATE PATHWAY-DRIVEN ANTIOXIDANT STATE
FENS Forum 2026
INVESTIGATION OF POSSIBLE INTERACTIONS BETWEEN BASAL GANGLIA LOOPS AND CEREBELLAR NETWORK IN THE 6-OHDA MODEL OF IDIOPATHIC PARKINSON'S SYNDROME
FENS Forum 2026
ASTROGLIAL CANNABINOID TYPE 1 RECEPTOR TUNES LOCOMOTOR ACTIVITY AND AVERSION THROUGH EXTERNAL GLOBUS PALLIDUS CIRCUITS
FENS Forum 2026
DYNAMICS OF DECISION-MAKING IN THE PREFRONTAL CORTEX UNDER OPPOSED EMOTIONAL STATES
FENS Forum 2026
IDENTIFICATION OF PROLIFERATING NEURAL PROGENITORS IN THE ADULT HUMAN HIPPOCAMPUS
FENS Forum 2026
FROM SUPPRESSION TO ENHANCEMENT: THE EFFECTS OF SELF-GENERATION ON SENSORY RESPONSES AND PERCEIVED LOUDNESS DEPEND ON SOUND INTENSITY
FENS Forum 2026
SERUM <SUP>1</SUP>H-NMR METABOLOMIC PROFILING DISTINGUISHES OCB TYPE 1 AND TYPE 2 PATTERNS IN EARLY POSSIBLE MULTIPLE SCLEROSIS
FENS Forum 2026
ASTROCYTIC REV-ERBΑ–NFIL3–CD38 AXIS GOVERNS NAD⁺ METABOLISM AND TAU PATHOLOGY
FENS Forum 2026
CANNABINOID TYPE-1 RECEPTORS IN ACQUISITION/EXPRESSION OF PTSD-LIKE MEMORIES
FENS Forum 2026
NON-CLASSICAL MONOCYTE EXHIBIT HEIGHTENED DIFFERENTIATE INTO PRO-INFLAMMATORY VCAN+ SUBSETS IN ACUTE ISCHEMIC STROKE WITH EARLY NEUROLOGICAL DETERIORATION
FENS Forum 2026
ALTERED NOCICEPTIVE RESPONDING IN A PRECLINICAL MODEL OF AUTISM IS ASSOCIATED WITH SEX-DEPENDANT TRANSCRIPTIONAL CHANGES IN THE DORSAL HORN OF THE SPINAL CORD
FENS Forum 2026
MOLECULAR PROFILING OF MICROGLIA-ASTROCYTE CROSSTALK IN C9ORF72 ALS/FTD REVEALS DYSREGULATION OF CRITICAL SIGNALING PATHWAYS
FENS Forum 2026
PERCEIV: A MULTIMODAL DATASET FOR ADAPTIVE INFORMATION VISUALIZATION FROM BEHAVIOURAL AND NEUROPHYSIOLOGICAL SIGNALS
FENS Forum 2026
COMPARATIVE THERAPEUTIC EFFICACY OF AAV9-GALC AT DIFFERENT INJECTION TIME POINTS AND PROMOTERS IN THE TWITCHER MURINE MODEL OF KRABBE DISEASE
FENS Forum 2026
CHANGES IN ANXIETY-LIKE BEHAVIOR FOLLOWING SHORT-TERM VOLUNTARY ALCOHOL DRINKING IN AGING MICE
FENS Forum 2026
VISUALISING SENSORY PROCESSING IN SYNTHETIC HIBERNATION
FENS Forum 2026
MODELING MAJOR DEPRESSIVE DISORDER IN A DISH: INSIGHTS INTO THE MOLECULAR PATHOMECHANISMS OF MDD
FENS Forum 2026
GENOME-WIDE META-ANALYSIS AND POLYGENIC RISK SCORE IN A RISK ASSESSMENT TO INTRACEREBRAL HEMORRHAGE
FENS Forum 2026
ENVIRONMENTAL ENRICHMENT FINE-TUNES INHIBITORY CIRCUIT DYNAMICS AND DENDRITIC PROCESSING IN HIPPOCAMPAL CA1 CIRCUITS
FENS Forum 2026
A MODULAR PLATFORM FOR MULTI-SENSORY DECISION-MAKING AND CHRONIC CORTICAL WIDEFIELD IMAGING
FENS Forum 2026
INFLAMMATION‑LINKED MITOCHONDRIAL DYSFUNCTION IN PTSD SUSCEPTIBILITY
FENS Forum 2026
DYNAMIC REORGANIZATION OF NETWORK TOPOLOGY IN PRIMARY SENSORY CORTICES DURING CROSS-MODAL PROCESSING
FENS Forum 2026
LINOLEIC ACID–INDUCED ASTROCYTIC ENDOCANNABINOID RELEASE: EXPLORING MOLECULAR MECHANISMS AND POTENTIAL SUBTYPE SPECIFICITY
FENS Forum 2026
ROLE OF MITOCHONDRIAL CB1 RECEPTORS IN ENDOCANNABINOID MODULATION OF INCIDENTAL ASSOCIATION FORMATION
FENS Forum 2026
HDAC6 MODULATES BACE1 STABILITY AND NLRP3 INFLAMMASOME ACTIVATION IN ALZHEIMER'S DISEASE
FENS Forum 2026
AUDIOVISUAL INTEGRATION IN CORTICAL SPEECH TRACKING EVOKED BY TALKING AVATARS
FENS Forum 2026
C coverage
97 items
Share your knowledge
Know something about C? Help the community by contributing seminars, talks, or research.
Contribute content