Bernstein Conference 2024
Frankfurt am Main
Date
Sep 29 – Oct 2
Abstracts
Photographic Retrospect
Invited Talks
Dmitriy Aronov | Columbia University, USA
Neural code for episodic memories in a food-caching bird
Helen Barron | University of Oxford, UK
Building internal models during periods of rest and sleep
Elizabeth Buffalo | University of Washington, USA
Neural dynamics of memory formation in the primate hippocampus
Mark M Churchland | Columbia University, USA
From spikes to factors: understanding large-scale neural computations
Alex Cayco Gajic | Ecole Normale Supérieure, France
Dimensionality reduction beyond neural subspaces
Jan Drugowitsch | Harvard University, USA
Spatial navigation under uncertainty
Jakob Macke | University of Tübingen, Germany
Building mechanistic models of neural computations with simulation-based machine learning
Mala Murthy | Princeton University, USA
Circuit mechanisms for dynamic social interactions
Memming Park | Champalimaud Foundation, Portugal
Forecasting motor cortex activity with a nonlinear latent dynamical system model
Susanne Schreiber | Humboldt Universität zu Berlin, Germany
Cellular action potential generation: a key player in setting the network state
Xiao-Jing Wang | New York University, USA
Distributed dynamics and cognition in the multiregional neocortex
Contributed Talks
Claudia Cusseddu | Technical University of Munich, Germany
A family of synaptic plasticity rules based on spike times produces a diversity of triplet motifs in recurrent networks
Elizabeth A. de Laittre | University of Chicago, USA
Stable cortical coding for a dexterous reach-to-grasp task across motor cortical laminae
Samuel Eckmann | University of Cambridge, UK
Theta-modulated memory encoding and retrieval in recurrent hippocampal circuits
Charles Fieseler | University of Vienna, Austria
Brain-wide manifold-organized hierarchical encoding of behaviors in C. elegans
Fereshteh Lagzi | University of Washington, USA
Reconciling diverse experimental findings on inhibitory tuning in the mouse visual cortex
Charles Micou | University of Cambridge, UK
Sudden tuning curve jumps in cortical representational drift facilitate stable downstream population readouts
Aitor Morales-Gregorio | Charles University, Czechia
State-dependent population activity, dimensionality and communication in the visual cortex
Motahareh Pourrahimi | McGill University, Canada
Human-like behavior and neural representations emerge in a goal-driven model of overt visual search for natural objects
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