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.

Terrence Sejnowski

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.

Barani Raman

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.

Naoki Hiratani

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.

Bin Wang

Desegregation of neuronal predictive processing

Bin Wang, PhD
Postdoctoral researcher
Columbia University


12 p.m.

Lunch


1:15 p.m.

Mackenzie Mathis

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.

Xiaoxuan Lei

Geometry of naturalistic object representations in models of working memory

Xiaoxuan Lei
Graduate student
McGill University

3 p.m.

Rainer Engelken

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

See details »

5:30-7 p.m.

Opening reception


Friday, May 17, 2024

8:30 a.m.

Breakfast

9 a.m.

Richard Zemel

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

TitleAuthors
Using interpretable generative models to probe the multiregional interactions underlying movement initiationMark 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 striatumEleonora 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 makingXiaohan 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 memoryAnup 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 conditionsEliezyer 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 featuresTy Easley, Kevin Freese, Elizabeth Much, Janine Bijsterbosch

Washington University
Addressing temporal credit assignment in recurrent networks using dynamical systems theoryRainer Engelken, Larry Abbott

Columbia University
Laying the groundwork for semantic decoding of object categories in naturalistic movies via high-density diffuse optical tomographyWiete 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 behaviorAntonio 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 dynamicsAntonio 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 conditionsLeandro J Fosque, Yifan Xu, Aidan Schneider, and Keith Hengen

Washington University
Parvalbumin expression does not account for discrete electrophysiological profiles of glutamatergic ventral pallidal subpopulationsRobert 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 excitabilityRachel 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 memoryXiaoxuan 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 networksTianfeng 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 representationsSamuel Naranjo Rincon, Fyzeen Ahmad, Ty Easly, Ulugbek Kamilov, Janine Bijsterbosch

Washington University
Generative modeling of the functional connectome in first-episode psychosisJacob 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 autismSteven 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 neuronsA. Schneider, G. Tolossa, K. Hengen

Department of Biology, Washington University in St. Louis
Relative neural population size modulates learnability of cyclic features of neural codesNiko Schonsheck, Chad Giusti

University of Delaware, Oregon State University
Visual cortex is nearest to criticality at intermediate level of arousal: a temporal renormalization group approachJ. 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 recordingsIan H. Stevenson

University of Connecticut
Desegregation of neuronal predictive processingBin 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 brainRobert 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 inputZeyuan Ye, Ralf Wessel, Tom P. Franken

Washington University in St. Louis
A recurrent neural network model of excitatory-inhibitory imbalance in autism spectrum disorderDaniel 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 probabilitiesKaining Zhang, Gaia Tavoni

Department of Neuroscience, Washington University School of Medicine