All events take place at the Neuroscience Research Building at Washington University: 4370 Duncan Avenue, St. Louis, MO 63119. See more information on the venue »
Registration is now full. Due to room capacity limitiations only registered attendees may attend.
Full program book now available for download here.
Thursday, May 16, 2024
8:30 a.m.
Breakfast
9 a.m.
Opening remarks
Geoff Goodhill, PhD
CTCN Director
Professor of Neuroscience & Professor of Developmental Biology
Washington University
9:05 a.m.
Keynote
State-space dynamics in cortex and transformers
Terrence Sejnowski, PhD
Professor and Laboratory Head
Computational Neurobiology Laboratory
Francis Crick Chair
Salk Institute for Biological Studies
10:05 a.m.
What an engineer learned studying the insect olfactory system
Barani Raman, PhD
Professor of Biomedical Engineering
Washington University
10:35 a.m.
Break
11 a.m.
Balancing memory and learning: an analytical model of knowledge transfer and forgetting in neural networks
Naoki Hiratani, PhD
Assistant Professor of Neuroscience
Washington University
11:30 a.m.
Low-dimensional criticality embedded in high-dimensional awake brain dynamics
Woodrow Shew, PhD
Associate Professor of Physics
University of Arkansas
11:45 a.m.
Desegregation of neuronal predictive processing
Bin Wang, PhD
Postdoctoral researcher
Columbia University
12 p.m.
Lunch
1:15 p.m.
Keynote
Learnable latent dynamics
Mackenzie Mathis, PhD
Assistant Professor, EPFL
Bertarelli Foundation Chair of Integrative Neuroscience
European Laboratory for Learning and Intelligent Systems (ELLIS) Scholar
2:15 p.m.
Unsupervised discovery of a decision making algorithm from neural activity
Adam Kepecs, PhD
Robert J. Terry Professor of Neuroscience, Professor of Psychiatry
BJC Investigator
Washington University
2:45 p.m.
Geometry of naturalistic object representations in models of working memory
Xiaoxuan Lei
Graduate student
McGill University
3 p.m.
Addressing temporal credit assignment in recurrent networks using dynamical systems theory
Rainer Engelken, PhD
Postdoctoral Researcher
Columbia University
3:15 p.m.
Break
3:30-5:30 p.m.
Poster session
5:30-7 p.m.
Opening reception
Friday, May 17, 2024
8:30 a.m.
Breakfast
9 a.m.
Keynote
Integrating past and present in continual learning
Richard Zemel, PhD
Trianthe Dakolias Professor of Engineering and Applied Science
Professor, Department of Computer Science
Columbia University
10 a.m.
Connecting principles of optimal coding in feedback-driven sensory networks
Gaia Tavoni, PhD
Assistant Professor of Neuroscience
Washington University
10:30 a.m.
Break
11 a.m.
Integrating astrocytes as contextual multiplexers of neural dynamics and computation
ShiNung Ching, PhD
Associate Professor of Electrical & Systems Engineering
Washington University
11:30 a.m.
Optimal learning of long-memory tasks using recurrent network interactions instead of single neurons
Roxana Zeraati
Graduate student
University of Tübingen
11:45 a.m.
Suppression of high-dimensional chaos by clustered synaptic connectivity
Lukasz Kusmierz, PhD
Scientist
Allen Institute
12 p.m.
Emergent behavior and neural dynamics in artificial agents tracking odor plumes
Satpreet Singh, PhD
Postdoctoral researcher
Harvard University
12:15 p.m.
Lunch
1:30 p.m.
Keynote
A less Artificial Intelligence
Andreas Tolias, PhD
Professor
Department of Neuroscience
Baylor College of Medicine
2:30 p.m.
Panel discussion
3:30 p.m.
Afternoon tea & conference conclusion
5 p.m.
After the conference everyone is invited to attend the following free event. Please register separately here »
The CTCN Annual Public Lecture on Minds and Machines
Brains and AI
Terrence Sejnowski, PhD
Professor and Laboratory Head
Computational Neurobiology Laboratory
Francis Crick Chair
Salk Institute for Biological Studies
Eric P. Newman Education Center
Washington University School of Medicine
320 S. Euclid Ave
St. Louis, MO 63110
Posters
Title | Authors |
---|---|
Using interpretable generative models to probe the multiregional interactions underlying movement initiation | Mark Agrios1, Amy Kristl1, Natalie Koh1, Sajishnu Savya1, Sarah Hsu1, Sara Solla2, Andrew Miri1 1Northwestern University Department of Neurobiology, 2Northwestern University Department of Neuroscience |
Physics-based machine learning in high- content screening | Lina Ali, Graham Bachman, Mallory Wright, Jason Waligorski, Colin Kremitzki, Serena Elia, Diana Grigore, Manny Gerbi, Uma Kaushik, Saul Weiss, Nico Zaharia, Jimin Lee, Purva Patel, Josh Langmade, Waleed Minzal, Aldrin Yim, Josh Milbrandt, Paul Hime, Rob Mitra, Jeff Milbrandt, William Buchser FIVE@MGI, McDonnell Genome Institute, Department of Genetics, Washington University in St. Louis |
Dopamine signal auditory Sensory Prediction Error in the auditory striatum | Eleonora Bano, Amelia Christensen, Fengrui Zhang, Heejae Choi, Adam Kepecs Department of Neuroscience, Washington University in St. Louis |
Mediodorsal thalamus regulates sensory and mapping uncertainties in flexible decision making | Xiaohan Zhang1, Michael M. Halassa2, Zhe Sage Chen1,3,4 1Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA 2Department of Neuroscience, Tufts University School of Medicine, Boston, MA, USA 3Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA 4Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY, USA |
Planar, spiral, and concentric traveling waves distinguish cognitive states in human memory | Anup Das1, Erfan Zabeh1, Bard Ermentrout2, Joshua Jacobs1,3 1 Department of Biomedical Engineering, Columbia University, New York, NY 10027 2 Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260 3 Department of Neurological Surgery, Columbia University, New York, NY 10027 |
Generalized Contrastive PCA (gcPCA): a generalized framework for finding subspaces that differ between experimental conditions | Eliezyer Fermino de Oliveira1, Pranjal Garg3, Lucas Sjulson1,2 1 Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA 2 Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA 3 All India Institute of Medical Sciences, Rishikesh, India |
Comparing functional MRI data representations based on distributions of repeatable topological features | Ty Easley, Kevin Freese, Elizabeth Much, Janine Bijsterbosch Washington University |
Addressing temporal credit assignment in recurrent networks using dynamical systems theory | Rainer Engelken, Larry Abbott Columbia University |
Laying the groundwork for semantic decoding of object categories in naturalistic movies via high-density diffuse optical tomography | Wiete Fehner1, Zachary Markow1, Morgan Fogarty1, Aahana Bajracharya1, Dana Wilhelm1, Alexander G. Huth2, Joseph P Culver1 1 Washington University in St. Louis, St. Louis, Missouri 63130, USA 2 The University of Texas at Austin, Austin, 78712, TX, USA |
Optimal dynamics in the manifold for spontaneous behavior | Antonio J. Fontenele1, J. Samuel Sooter1, Nivaldo A. P. de Vasconcelos2 and Woodrow L. Shew1 1Department of Physics, University of Arkansas, Fayetteville, 72701, AR, USA 2Department of Biomedical Engineering, Federal University of Pernambuco (UFPE), Recife, PE 50670-901, Brazil |
Low-dimensional criticality embedded in high-dimensional awake brain dynamics | Antonio J. Fontenele, J. Samuel Sooter, V. Kindler Norman, Shree Hari Gautam, and Woodrow L. Shew University of Arkansas, Department of Physics, UA Integrative Systems Neuroscience Group, Fayetteville, 72701, AR, USA |
Quasicriticality in light and dark conditions | Leandro J Fosque, Yifan Xu, Aidan Schneider, and Keith Hengen Washington University |
Parvalbumin expression does not account for discrete electrophysiological profiles of glutamatergic ventral pallidal subpopulations | Robert D Graham1, Lisa Z Fang1, Jessica R Tooley1,2, Vani Kalyanaraman1, Mary Christine Stander1, Darshan Sapkota3,4, Joseph Dougherty 2,3, Bryan Copits1,2, Meaghan C Creed1,2 1 Department of Anesthesiology, Washington University in St. Louis 2 Graduate program in neuroscience, Division of Biological and Biomedical Sciences 3 Department of Psychiatry, Washington University in St. Louis 4 Department of Biological Sciences, University of Texas at Dallas |
Cue-paced training protocols: An assessment of their impact on modulating lower limb excitability | Rachel Hawthorn1,2, Rodolfo Keesey1,2, Carolyn Atkinson1,2, Haolin Nie1, Ismael Seáñez1,2,3 1 Department of Biomedical Engineering, Washington University in St. Louis 2 Division of Neurotechnology, Washington University School of Medicine in St. Louis 3 Department of Neurosurgery, Washington University School of Medicine in St. Louis |
Geometry of naturalistic object representations in models of working memory | Xiaoxuan Lei1, Takuya Ito2, Pouya Bashivan1 1 Department of Physiology, McGill University, Canada 2 IBM Research, New York, United States |
Mechanisms of neuronal coordination in multi-layer networks | Tianfeng Lu1, Shuyu I. Zhu1, Robert Wong1,2, Geoffrey J. Goodhill1 1 Departments of Developmental Biology and Neuroscience, Washington University in St. Louis 2 Departments of Electrical & Systems Engineering, Washington University in St. Louis |
Neurogenesis enhances olfactory coding efficiency, especially in variable environments | Ryan McGee, Gaia Tavoni Department of Neuroscience, Washington University in St Louis |
Neuro Translate: Using surface image transformers to translate shared latent information across functional MRI brain representations | Samuel Naranjo Rincon, Fyzeen Ahmad, Ty Easly, Ulugbek Kamilov, Janine Bijsterbosch Washington University |
Generative modeling of the functional connectome in first-episode psychosis | Jacob Pine, Deanna Barch, and Matthew Singh Washington University in St. Louis, Department of Psychological and Brain Sciences |
Noise gives brains super-Turing computation computers are missing out | Emmett Redd Physics, Astronomy and Materials Science, Missouri State University, Springfield, Missouri USA |
Decision confidence and belief updating: quantitative behavioral phenotyping of perceptual decision-making in a rat CHD8+/- model of autism | Steven C. Ryu, Jack McGuire, Adam Kepecs Washington University in St. Louis, School of Medicine, MO, USA |
Structural localization is embedded in the spike trains of single neurons | A. Schneider, G. Tolossa, K. Hengen Department of Biology, Washington University in St. Louis |
Relative neural population size modulates learnability of cyclic features of neural codes | Niko Schonsheck, Chad Giusti University of Delaware, Oregon State University |
Visual cortex is nearest to criticality at intermediate level of arousal: a temporal renormalization group approach | J. Samuel Sooter,1 Andrea K. Barreiro,2 Cheng Ly,3 Antonio J. Fontenele,1 Nivaldo A.P. de Vasconcelos,4 Woodrow L. Shew1 1 Department of Physics, UA Integrative Systems Neuroscience, University of Arkansas 2 Department of Mathematics, Southern Methodist University 3 Department of Statistical Sciences and Operations Research, Virginia Commonwealth University 4 Department of Biomedical Engineering, Federal University of Pernambuco |
Circumstantial evidence and explanatory models for synapses in large-scale spike recordings | Ian H. Stevenson University of Connecticut |
Desegregation of neuronal predictive processing | Bin Wang1, Nicholas J Audette2, David M Schneider2 and Johnatan Aljadeff3 1Center for Theoretical Neuroscience, Columbia University 2Center for Neural Science, New York University 3Department of Neurobiology, University of California San Diego |
Dimensionality and developmental trajectory of signal and noise in the brain | Robert Wong1,3,4, Alisha Tromp2, Zac Pujic2, Biao Sun2, Naoki Hiratani3 & Geoffrey Goodhill3,4 1 Department of Electrical & Systems Engineering, Washington University in St. Louis, MO, USA 2 Queensland Brain Institute, Australia 3 Department of Neuroscience, Washington University School of Medicine, MO, USA 4 Department of Developmental Biology, Washington University School of Medicine, MO, USA |
Border ownership signals emerge in an artificial neural network trained to predict future visual input | Zeyuan Ye, Ralf Wessel, Tom P. Franken Washington University in St. Louis |
A recurrent neural network model of excitatory-inhibitory imbalance in autism spectrum disorder | Daniel Zavitz1, ShiNung Ching2, Geoffrey Goodhill1 1 Departments of Developmental Biology and Neuroscience 2 Department of Electrical and Systems Engineering Washington University in St. Louis |
Capacity of networks with arbitrary topologies and neuron activation probabilities | Kaining Zhang, Gaia Tavoni Department of Neuroscience, Washington University School of Medicine |