Seminars
October 2026
Unlocking PTSD: From Single Cells to Improved Therapeutics
Matthew J. Girgenti· Yale School of Medicine, Department of Psychiatry
Tue, Oct 13 · 18:00 UTC · Online
Matthew J. Girgenti discusses how research on individual brain cells and the three-dimensional organization of DNA is changing the biological understanding of post-traumatic stress disorder. The seminar examines how these approaches reveal trauma-associated brain changes and identify possible targets for more effective, personalized treatments. Girgenti is a neuroscientist in Yale School of Medicine’s Department of Psychiatry. Jeffrey Borenstein moderates this Meet the Scientist session. Online via the BBRF Zoom webinar. Tuesday 13 October 2026, 14:00 EDT (America/New_York; UTC−4). Follow Register Today on the organizer’s event page to the event-specific Zoom form. Advance registration is available to researchers, students, healthcare providers, mental-health organizations, patients and family members.
Neural mechanisms in hippocampal-prefrontal networks for memory and cognition
Shantanu Jadhav· Brandeis University
Tue, Oct 13 · 14:30 UTC · New York, United States
Shantanu Jadhav presents work on coordinated hippocampal-prefrontal activity and the neural mechanisms that support memory-guided cognition and decisions. The seminar draws on systems electrophysiology and circuit analysis to connect distributed network dynamics with behavior.
BRAIN Building Webinar: Brain Metabolism
Sakthivel Ravi, Adam Khalifa, Joe Abisambra· University of Florida
Mon, Oct 12 · 22:00 UTC · Online
Brain metabolism supplies the energy underlying brain injury, recovery and aging. This webinar brings together three complementary approaches to understanding how repetitive mild traumatic brain injury affects these processes. Sakthivel Ravi examines repetitive mild TBI and aging through multimodal imaging and molecular profiling. Adam Khalifa presents wireless brain glucose sensing for TBI research, and Joe Abisambra discusses disruption of bioenergetic pathways following repetitive mild TBI. The talks are followed by a moderated question-and-answer discussion.
KIPAC Seminar: Large-scale structure between peaks - modeling the intergalactic medium for the next generation of cosmological datasets
Jamie Sullivan· MIT
Mon, Oct 12 · 18:00 UTC · Online
Galaxy images and spectra map large-scale cosmic structure and constrain fundamental physics. While galaxy-clustering bias models are well developed, forthcoming datasets can also trace the intergalactic medium and recover complementary cosmic-web information. Jamie Sullivan discusses models for both neutral and ionized intergalactic material. Neutral-hydrogen work includes the environments of Lyman-alpha emitters at redshifts 2.5–5, relevant to future DESI extensions and Spec-S5, together with the measured Lyman-alpha forest and an observationally practical compression of its bispectrum. Ionized-gas research studies momentum through an effective-field-theory kinetic Sunyaev–Zel’dovich bispectrum, and density through fast-radio-burst clustering and cross-correlations. Together, these approaches aim to map intergalactic modes alongside galaxy tracers and improve precision cosmological constraints.
AstrophysicsCosmologySeries: Kavli Institute for Particle Astrophysics and Cosmology, Stanford University
Neuro-X seminar: Prof Tim O'Shea - Engineering astrocytes to promote wound repair and modulate foreign body responses in the CNS
Tim O'Shea· Department of Biomedical Engineering, Boston University
Fri, Oct 9 · 09:00 UTC · Online
Astrocytes help sustain neural signaling and tissue stability, but injury and implanted devices cause them to change their functions. Tim O'Shea examines how the extent and timing of this response determine tissue protection, regeneration and implant durability. Limited renewal of adult astrocytes contrasts with the greater proliferation and migration of immature cells in newborn mammals. Around implants, continuing movement, infection and other stimuli can prolong the response and affect device performance. The talk uses astrocyte-specific transcriptomic assays to investigate this reprogramming and considers how to improve repair without sacrificing normal astrocyte functions. It also presents biomaterial and cell-transplant approaches being studied in preclinical stroke, spinal cord injury and implant-response models.
Anderson Localization in Periodic Elastic Systems with Random Perturbations
Wei Wu· Jilin University, China
Fri, Oct 9 · 03:00 UTC · Online
This seminar investigates Anderson localization in subwavelength elastic periodic systems with random perturbations. For the unperturbed structure, layer-potential methods recast the eigenvalue problem as boundary integral equations, yielding asymptotic expressions for subwavelength eigenvalues and establishing a band gap above the subwavelength band. A Floquet transform then brings the perturbed problem into a periodic formulation and produces equations for resonant frequencies under general perturbations. Numerical experiments on monomer and dimer structures test agreement with the analysis. Increasing the strength and number of random perturbations demonstrates localization, providing a mathematical basis for elastic metamaterial design.
PhysicsSolid MechanicsSeries: Department of Applied Mathematics, The Hong Kong Polytechnic University
Takaki Komiyama - A cell-type-specific cortical circuit for maintenance of value representations
Takaki Komiyama· University of California, San Diego
Thu, Oct 8 · 19:00 UTC · Stanford, Gunn Rotunda
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.
Mechanisms and Modifiers of C9orf72-associated ALS/FTD
Junjie Guo· Yale School of Medicine
Thu, Oct 8 · 16:00 UTC · Online
Junjie Guo investigates how an intronic nucleotide-repeat expansion in C9orf72 causes familial and some sporadic cases of amyotrophic lateral sclerosis and frontotemporal dementia. The talk presents progress in understanding how the expansion changes gene expression, alongside functional-genomics approaches that identify potential therapeutic targets controlling expression of the pathogenic mutation. It also considers which mechanisms and modifiers extend to other disease-causing repeat expansions. Guo is Associate Professor of Neuroscience at Yale School of Medicine; the seminar is hosted by J. Wren Kim. Online via CUNY ASRC Zoom. Thursday 8 October 2026, 12:00–13:00 EDT (America/New_York; UTC−4). Follow the Zoom link on the official seminar page; meeting details are also supplied in its abstract PDF. Organized by the Advanced Science Research Center at the CUNY Graduate Center, Neuroscience Initiative. This listing advertises remote attendance.
NeuroscienceMolecular NeuroscienceSeries: Advanced Science Research Center at the CUNY Graduate Center
Can We Protect Brain Health as We Age?
Marcus Böhme, Raffael Kalisch, Giacomo Koch, Carla Nasca, Dídac Vidal-Piñeiro
Wed, Oct 7 · 15:15 UTC · Online
This public discussion examines the factors that help preserve brain health during aging. Researchers working on neuroscience, brain stimulation, the microbiome and brain health consider how stress, everyday behavior and social and environmental conditions can affect resilience over a lifetime. The panel discusses emerging evidence about early vulnerability, possible interventions through lifestyle changes and stress management, and more targeted approaches. It also addresses the limits of current knowledge and the uncertainties that remain when translating these findings into ways to protect cognitive health.
A cortico-hippocampal network for reference frame coordination and dysfunction in Alzheimer’s disease
Aaron Wilber· Florida State University
Tue, Oct 6 · 23:00 UTC · Online
Navigation and memory require coordination between map-like allocentric representations and body-centered egocentric actions. Aaron Wilber examines how the parietal–retrosplenial–anterior thalamic–hippocampal network performs these transformations, and how disrupted coordination contributes to spatial deficits in aging and Alzheimer’s disease. Rat sequence-task experiments reveal bidirectional hippocampal–parietal interactions across route-centered, place and egocentric representations. Because that task does not isolate reference-frame use, the laboratory developed a freely available task separating egocentric, allocentric and transformation conditions. Validation indicates that parietal cortex and anterior thalamus are required for transformation; ongoing work examines population states associated with each condition. The talk then connects impaired hippocampal–cortical communication during sleep to navigation deficits in 3xTg-AD mice, reporting recovery of circuit function and cognition after early, circuit-targeted 40 Hz entrainment. Related investigations examine this network during waking navigation. In TgF344-AD rats, egocentric impairments appear before transformation deficits, addressing the shortage of rodent studies of reference-frame coordination in Alzheimer’s disease.
High tech and no tech: intention and pedagogy in a modeling-based calculus course
Marty Weissman· University of California, Santa Cruz
Tue, Oct 6 · 16:00 UTC · Online
Marty Weissman presents a University of California, Santa Cruz course that develops mathematics for the life sciences through models of biological dynamics. Adapted from UCLA’s LS30 course, it integrates calculus, dynamical systems and linear algebra. The seminar describes the curriculum and its active learning discussion sections, where deliberate choices range from custom dynamical-system simulators to paper exercises and blackboard work. Drawing on two years of teaching, Weissman reflects on which approaches appear to support student learning and the development of the teaching team.
MathematicsMathematics EducationSeries: Online Seminar on Undergraduate Mathematics Education (OLSUME)
Human balance: Delays, sensory dead zones and micro-chaos!
John G. Milton· The University of Texas at Austin
Tue, Oct 6 · 16:00 UTC · Online
How do humans stabilize an inverted pendulum, and why does a balanced pole eventually fall? Drawing on 25 years of fingertip pole-balancing research, this talk examines neural correction delays: longer poles move more slowly relative to the nervous system’s response time. Delay-differential models can stabilize the upright position, yet skilled people still experience falls. The proposed explanation is microchaos arising from interactions among delay, sensory dead zones and frequency-dependent force encoding. A region of transient falling solutions lies next to stable microchaotic dynamics. Such microchaos is absent in virtual frontal-plane balancing tasks, while models of standing postural sway lack the corresponding transient regime. The comparison suggests that human falls, unlike pole falls, are more plausibly associated with medical events or slips and trips.
Mitochondrial Apoptotic Priming – The Key to Cancer Response
Anthony Letai· National Cancer Institute
Mon, Oct 5 · 20:30 UTC · Washington, and Zoom · Hybrid
Anthony Letai discusses how understanding programmed cell death can guide the selection of cancer treatments. The seminar explains how apoptotic signalling can be measured and how these measurements can identify drugs capable of killing cancer cells. Hybrid: New Research Building Auditorium, Georgetown University Medical Center, Washington, DC, and Zoom. Monday 5 October 2026, 16:30–17:30 EDT (America/New_York; UTC−4). Use the attendance registration form or the event’s Zoom link on the organizer page. Organized by Georgetown’s Distinguished Scientist Seminar Series. Letai is Director of the National Cancer Institute. An in-person reception follows the seminar.
Deciphering the cortical output code – A multiscale approach to predictive brain modelling
Mon, Oct 5 · 07:30 UTC
To orchestrate complex behaviors in mammals, the cerebral cortex must continuously transmit its processing results to subcortical regions. While internal cortical processing relies on highly selective sparse codes, these descending cortical output streams employ an enigmatic dense code, characterized by high firing rates and low feature selectivity. This dense population code presents a profound paradox: how can downstream regions extract precise, cognitively relevant signals when most cortical output neurons can be active at any moment? We address this paradox by testing the hypothesis that cortex does not lose information when switching to a dense code. Instead, it utilizes a mechanism for sparse-to-dense coding transformations discovered by my laboratory: thalamocortical synapses target specifically the dendritic initiation zone for calcium action potentials (APs), which enables cortical output neurons to transmit multiple information streams simultaneously via a multiplexed 1-2-3 AP syntax. I will provide first evidence that this remarkable synaptic specificity and coding syntax generalize across long-range pathways. Information coupling via an anatomically and biophysically distinct dendritic nexus may hence be a ubiquitous mechanism for sparse-to-dense coding transformations in cortex. Dissecting these mechanistic origins of cortical output streams is only now possible due to a unique in vivo – in silico approach, perfected over two decades, that my laboratory developed for bridging the gaps between dendritic and population-level computations
Colloquium on the Brain and Cognition with Christopher Harvey, PhD, Harvard University
Christopher Harvey· Harvard Medical School
Thu, Oct 1 · 20:00 UTC · Cambridge, United States
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.
September 2026
The Realities of Augmented Intelligence
Ivo D. Dinov· University of Michigan — SOCR, DCMB and MCAIM
Wed, Sep 30 · 18:30 UTC · Detroit, United States · Hybrid
Ivo D. Dinov examines augmented intelligence as a partnership between people and computational systems. The talk traces the technical and philosophical development of neural networks, then introduces complex-time, or kime, representations and the inference methods they support. Applications include medical imaging, healthcare and economic forecasting. It also considers the academic mission, societal consequences of AI and tensions between rapid technical development and human values, framing mathematical AI methods as extensions of human reasoning. Free hybrid seminar hosted by Wayne State University's Institute for AI and Data Science, AIDaS: CAD Seminar Series. Wednesday 30 September 2026, 14:30–15:30 EDT (America/Detroit; UTC−4). Attend in Room 1146, Faculty/Administration Building, 656 W. Kirby, Detroit, MI 48202, USA, or use the Zoom link on the official event page. Researchers, practitioners, students and faculty are welcome; the organizer encourages in-person attendance.
Artificial IntelligenceComputational StatisticsSeries: Wayne State University — Institute for AI and Data Science (AIDaS)
Machine Learning with Hard Constraints
Navid Azizan· Massachusetts Institute of Technology — Mechanical Engineering and Institute for Data, Systems & Society
Wed, Sep 30 · 16:00 UTC · Online
Navid Azizan presents methods that make neural models obey physical, safety and operational constraints at deployment. Hard-constrained neural networks, or HardNets, enforce input-dependent constraints by construction while preserving universal approximation within the feasible function class. Applications include models of chaotic dynamics with bounded trajectories, energy-constrained operator learning, safe reinforcement learning and control with formal guarantees. The talk then turns to enforcing constraints during sampling from pretrained diffusion and flow-matching models. Formulating generation as trajectory optimization allows receding-horizon control to guide outputs toward feasibility without retraining or imposing excessive restrictions on the sampling process. Examples from fluid dynamics, robot planning and control, PDE control and language-guided image editing illustrate how constraints can define admissible behavior while retaining expressive learning and generation.
Machine LearningDeep LearningSeries: Georgia Institute of Technology — Machine Learning Seminar Series
The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks
Lenka Zdeborová· École Polytechnique Fédérale de Lausanne (EPFL)
Wed, Sep 30 · 15:00 UTC · Online
Lenka Zdeborová introduces the Rules-and-Facts model, in which some observations follow a shared rule while others are isolated exceptions requiring memorization. The framework studies when a learner can acquire the rule and retain those exceptions simultaneously. Its results emphasize how capacity is organized and deployed, rather than capacity alone. The talk examines how regularization and the geometry of kernels or learned feature maps can reserve resources for memorization without undermining rule learning. It connects the balance between abstraction and memory to architectural and algorithmic choices, providing a theoretical account of neural networks that both generalize and recall specific facts.
Engineering human myelination in vitro: Mechanobiologically compatible platforms for CNS drug discovery
Emad Moeendarbary· Department of Mechanical Engineering, UCL
Wed, Sep 30 · 12:00 UTC · London, United Kingdom
UCL Department of Neuroinflammation Seminar by Professor Emad Moeendarbary (Professor of Cell Mechanics and Mechanobiology, UCL Mechanical Engineering) on how biophysical factors such as substrate stiffness and axon geometry regulate oligodendrocyte behavior and myelin formation, presenting the AxoMetic in vitro myelination platform for discovery of remyelinating therapies.
NeuroscienceBiomedical EngineeringSeries: UCL Queen Square Institute of Neurology — Department of Neuroinflammation
Launching the Australian Cardiovascular disease Data Commons
Peter Meikle, Bernie Pope, Tingting Wang· Baker Heart and Diabetes Institute (Meikle, Wang); Australian BioCommons (Pope)
Wed, Sep 30 · 02:00 UTC · Online
Peter Meikle, Bernie Pope and Tingting Wang present the Australian Cardiovascular disease Data Commons (ACDC). Some heart attacks occur without established risk factors, and repeat events remain common despite optimal treatment. ACDC addresses this gap by securely pooling multi-omics, imaging and longitudinal outcomes from approximately 400,000 people in 18 Australian cohorts. The webinar explains cloud infrastructure, data harmonisation and federated standards based on Gen3; how integrated genomic, multi-omics and imaging cohorts support new risk markers and polygenic risk-score testing; and how the platform can move diagnostic research towards clinical practice. Meikle and Wang are at the Baker Heart and Diabetes Institute; Pope is at Australian BioCommons. Online via Zoom. Wednesday 30 September 2026, 12:00–13:00 AEST (Australia/Melbourne; UTC+10). Free, with advance registration through the official event page. Intended for life scientists, bioinformaticians, cardiovascular clinicians, data custodians and medical data scientists. Parts may be recorded; the Australian BioCommons Code of Conduct applies. Organized by Australian BioCommons.