Online
Date
Sep 29 – Oct 1
Abstracts
Invited Lectures
William Bialek | Princeton University, USA
Searching for simplicity
Michael Brecht | HU Berlin, Germany
Isomorphic mapping and computation in cortical circuits
Laura Busse | LMU Munich, Germany
Effects of cortico-thalamic feedback on responses in mouse dLGN
Megan Carey | Champalimaud Center for the Unknown, Lisbon, Portugal
Understanding the complex behaviors of the ‘simple’ cerebellar circuit
Rosa Cossart | Institut de neurobiologie de la méditerranée, Marseille, France
Development and function of cortical hub neurons
Ann Hermundstad | Janelia Research Campus, Ashburn, USA
Adaptive control of behavioral variability through the flexible use of an internal representation
Roozbeh Kiani | New York University, USA
The geometry of the representation of decision variable and stimulus difficulty in the parietal cortex
Vanessa Ruta | The Rockefeller University, New York City, USA
Themes and variations: the circuitry of mate selection and pursuit in Drosophila
David Sussillo | Google AI, Mountain View, USA
Universality and individuality in neural dynamics across large populations of recurrent networks
Srdjan Ostojic | L’École normale supérieure, Paris, France
Complementary roles of dimensionality and population structure in neural computations
Fred Wolf | MPI for Dynamics and Self-Organization, Göttingen, Germany
Evolutionary Transitions in Visual Cortex Design
Contributed Talks
Kristopher T. Jensen | University of Cambridge, UK
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Dmitry Kobak | University of Tübingen, Germany
Phenotypic variation within and across transcriptomic cell types in mouse motor cortex
Felipe Yaroslav Kalle Kossio | University of Bonn, Germany
Drifting assemblies for persistent memory
Subhadra Mokashe | Brandeis University & Duke University, USA
Learning sequences of correlated patterns in recurrent networks
Eleonora Russo | Central Institute of Mental Health, Mannheim, Germany
Coordinated prefrontal state transition leads extinction of reward-seeking behaviors
Sarah Starosta | Washington University, St. Louis, USA
Dopamine and the algorithmic basis of foraging decisions
Balázs B. Ujfalussy | Institute of Experimental Medicine, Budapest, Hungary
Sampling-like representations of prospective locations during hippocampal theta sequences
Oleg Vinogradov | University of Tübingen, Germany
Neuronal cultures self-organize towards excitation/inhibition balance
Talk Collection 2020
Here you’ll find invited and contributed talks from the Bernstein Conference 2020 online.