Bernstein Conference 2025
Frankfurt am Main
Date
Sep 29 – Oct 2
Abstracts
Invited Talks
Alison Barker | Max Planck Institute for Brain Research, Germany
Dynamics of social systems: Communication and cooperation in the naked mole-rat (abstract)
Upinder S. Bhalla | National Centre for Biological Sciences, India
Mismatch detection through molecules-to-network computations (abstract)
Albert Compte | Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Spain
Prefrontal attractor dynamics of dual task learning (abstract)
Luca Mazzucato | University of Oregon, USA
Control of population activity in prefrontal cortex via microstimulations (abstract)
Tirin Moore | Stanford University, USA
Short-term coding of remembered stimuli: Lessons from large-scale electrophysiology in the primate brain (abstract)
Edvard Moser | Norwegian University of Science and Technology, Norway
Network coding in grid cells and place cells: From space to memory (abstract)
Katherine Nagel | NYU School of Medicine, USA
A circuit and synaptic architecture for working memory during olfactory navigation (abstract)
Panayiota Poirazi | Foundation of Research and Technology-Hellas (FORTH), Greece
How dendrites empower learning in biological and artificial brains (abstract)
Viola Priesemann | Max Planck Institute for Dynamics and Self-Organization, Germany
Dendritic balance, synaptic design and emergence of information processing (abstract)
Andreas Tolias | Stanford University, USA
Foundation models and digital twins of the brain (abstract)
Contributed Talks
Denis Alevi | Yale University, USA
Representational drift as a correlate of memory consolidation (abstract)
Deyue Kong | Frankfurt Institute for Advanced Studies, Germany
Single-cell optogenetic perturbations reveal stimulus-dependent network interactions in ferret V1 (abstract)
Daniel Levenstein | Yale University, USA
Sequential predictive learning is a unifying theory for hippocampal representation and replay (abstract)
Jure Majnik | Aix-Marseille University / Inserm / INMED / Turing Center for Living Systems, France
Tracking and perturbing developmental trajectories in postnatal mouse neocortex (abstract)
Haleigh Mulholland | University of Minnesota, USA
Large-scale recurrent networks selectively stabilize neural activity in visual cortex (abstract)
Lorenzo Posani | Columbia University, USA
Rarely categorical, always high-dimensional: How the neural code changes along the cortical hierarchy (abstract)
Lynn K. A. Sörensen | Massachusetts Institute of Technology, USA
Hierarchical optimization predicts plasticity in the macaque inferior temporal cortex following object training (abstract)
Ben von Hünerbein | University of Bern, Switzerland
ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks (abstract)
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