Seminars
October 2026
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
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.
Building a Brain, One Cell at a Time: Reading the Developmental Instructions Behind Human Neural Diversity
Tom Nowakowski· UCSF
Wed, Oct 7 · 20:00 UTC · Cambridge, United States
Tom Nowakowski explains lineage barcoding and single-cell sequencing approaches for reconstructing neural stem-cell family trees and early wiring programs in developing mouse and human brains.
TMS in Autism Spectrum Disorder: From Pathophysiology to Development of Novel Therapeutic Protocols
Lindsay N. Oberman· National Institute of Mental Health, Developmental Clinical Neurophysiology and Neurostimulation Research Program
Wed, Oct 7 · 20:00 UTC · Online
Lindsay N. Oberman reviews evidence for transcranial magnetic stimulation protocols in autism spectrum disorder. The seminar first explains how TMS works and how it can probe the brain mechanisms associated with autism. It then presents NIH research using repetitive TMS as an experimental therapeutic tool, examining its effects on both brain function and behaviour to guide the development of potential interventions. Online via Duke Zoom. Wednesday 7 October 2026, 16:00 EDT (America/New_York; UTC−4). Register through the event-specific Register Here link on the Duke Autism Seminar Series page to receive remote access. The presentation will not be recorded. Accommodation requests should reach the organizer at least ten days before the event. The speaker directs NIMH’s Developmental Clinical Neurophysiology and Neurostimulation Research Program.
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.
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
September 2026
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.
The paradox of the corpus callosum: insights from the developing brain
Vanessa Siffredi· Lausanne University Hospital (CHUV) and University of Lausanne (UNIL)
Tue, Sep 29 · 07:30 UTC · Hôpital des Enfants, Geneva · Hybrid
Vanessa Siffredi explores why the corpus callosum is central to typical brain development, yet some children born without it or with callosal abnormalities develop comparably to their peers. The talk connects callosal structure and communication between hemispheres with cognition, attention, executive function, memory, language and socio-emotional development. Structural and functional neuroimaging studies of typical development and callosal dysgenesis examine how developing brains compensate for alterations in this major white-matter pathway. Siffredi is affiliated with CHUV and UNIL; Carole Guedj chairs the seminar. Hybrid: Auditoire de pédiatrie Fred Bamatter, HUG, Hôpital des Enfants, Geneva; online via Zoom. Tuesday 29 September 2026, 09:30–10:30 CEST (Europe/Zurich; UTC+2), followed by CIBM news and networking until 11:00. Organized by CIBM Center for Biomedical Imaging — Breakfast and Science. In-person attendance is free without registration. Remote attendees must register through the Zoom link on the event page and select the 29 September occurrence.
Stability and Bifurcations in a Free Boundary PDE Models of Cell Motility
Leonid Berlyand· Pennsylvania State University
Thu, Sep 24 · 19:00 UTC · Princeton, United States
Leonid Berlyand discusses mathematical models for the onset of cell motion driven by myosin contraction. A two-dimensional free-boundary PDE model links cell-shape evolution to diffusion and Keller–Segel-type transport. The talk examines linear stability, a stability-determining eigenvalue and the way nonlinear diffusion changes the bifurcation from supercritical to subcritical. It also considers the curvature of the bifurcation curve, connections to bistability, and the role of non-self-adjoint operators. An example illustrates why a spectral gap alone need not guarantee stability. This is an in-person Analysis of Fluids and Related Topics seminar at Princeton.
Early Sleep Biomarkers of Alzheimer's Disease Pathophysiology and Memory Impairment
Bryce Mander· UC Irvine School of Medicine
Fri, Sep 18 · 19:00 UTC · Stanford, United States
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.
Gravitational waveform modeling with physics informed neural networks and surrogates
Nils Deppe· Cornell University
Thu, Sep 17 · 15:00 UTC · Princeton, United States
This seminar discusses a proof-of-concept gravitational-waveform model described in arXiv:2511.10522. It augments post-Newtonian equations using physics-informed neural-network methods and universal differential equations. The talk also covers ongoing development of a precessing surrogate model designed to evaluate in less than one millisecond while covering a broader portion of the LVK frequency band.
Kirk Public Lecture | An operator-algebraic perspective on topological orders
Yoshiko Ogata· Kyoto University
Wed, Sep 16 · 15:00 UTC · Cambridge, Cambridge
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.
Applied MathematicsMathematical ModelingSeries: Isaac Newton Institute for Mathematical Sciences, University of Cambridge
Canonical Quantization of Singular Configuration Spaces: Symmetry Reduction, Mass Gap Bounds, and Non-smooth Calculus
Luca Mrini· University of Vienna
Thu, Sep 10 · 18:30 UTC · Waterloo, Canada
Luca Mrini presents work in progress on quantising singular configuration spaces using the non-smooth calculus of metric-measure spaces. The framework generalises smooth quantum mechanics through Hilbert spaces, position and momentum operators, Hamiltonians, unitary dynamics, and observable algebras. A method for bounding mass gaps after symplectic reduction uses the curvature of the unreduced configuration space. Examples include the harmonic oscillator constrained to zero angular momentum, lattice Yang–Mills theory, and fractional-dimensional Laakso spaces. The talk closes with prospective applications to the Yang–Mills mass-gap problem and quantum gravity.
Changing Perspectives on Self Control
Yuko Munakata· University of California, Davis
Wed, Sep 9 · 20:00 UTC · Cambridge, United States
Yuko Munakata presents evidence challenging capacity-only accounts of self-control and explains how experience, effort, and expected payoff shape executive-function engagement and later outcomes.
Learning and memory in the infant brain
Nick Turk-Browne· Yale University
Tue, Sep 8 · 14:30 UTC · New York, United States
Nick Turk-Browne presents research using infant functional MRI to investigate how the hippocampus supports learning and memory early in life. The seminar connects neural development, memory formation and infantile amnesia through new methods for studying awake infants.
Preparation of Tensor Network States
Ignacio Cirac· Max-Planck-Institut für Quantenoptik
Mon, Sep 7 · 09:00 UTC · Cambridge, Cambridge
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.
Applied MathematicsMathematical ModelingSeries: Isaac Newton Institute for Mathematical Sciences, University of Cambridge
Margaret S. Livingstone, Ph.D. - PNI Seminar Series
Margaret S. Livingstone· Harvard Medical School
Thu, Sep 3 · 16:15 UTC · Princeton, United States
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.
August 2026
Emerging NeuroTech: Ultrasound in Neuroscience
Yaoheng “Mack” Yang, Dian Li· University of Southern California (USC)
Fri, Aug 14 · 16:00 UTC · Cambridge, United States
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.