The Center for Theoretical & Computational Neuroscience invites you to the 2023 Computational Neuroscience Next Generation Symposium.

Daniel Barabasi

Advisor: Florian Engert, Harvard University

Complex computation from developmental priors

Sigrid Trägenap

Advisor: Matthias Kaschube, Max Planck Institute

The nature-nurture transform underlying the emergence of reliable cortical representations

Tim Kim

Advisor: Carlos Brody, Princeton Neuroscience Institute

Flow-field inference from neural data using deep recurrent networks

HayoungSong

Advisor: Monica D. Rosenberg, University of Chicago

Neural dynamics underlying naturalistic human cognition

YusiChen

Advisor: Terrence Sejnowski, UCSD

Predictive sequence learning in the hippocampal formation

Joseph Pemberton

Advisor: Rui Ponte Costa, University of Bristol

Cerebellar-driven strategies for brain-wide learning

Jacob Zavatone-Veth

Advisor: Cengiz Pehlevan, Harvard University

Effect of prior knowledge on generalization in deep linear neural networks

Alessandro Marin-Vargas

Advisor: Alexander Mathis, EPFL

Task-driven neural network models predict neural dynamics of proprioception

Additional talks by Washington University faculty.

Register to attend: https://ctcn.wustl.edu/next-gen-symposium/