Publications

2024

Predictive auxiliary objectives in deep RL mimic learning in the brain

Ching Fang, Kimberly L Stachenfeld

A computational principle of habit formation

Kaushik J Lakshminarasimhan

When does compositional structure yield compositional generalization? A kernel theory

Samuel Lippl, Kim Stachenfeld

Modular representations emerge in neural networks trained to perform context-dependent tasks

W. Jeffrey Johnston, Stefano Fusi

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

Ching Fang, Jack Lindsey, L.F. Abbott, Dmitriy Aronov, Selmaan Chettih

Semi-orthogonal subspaces for value mediate a binding and generalization trade-off

W. Jeffrey Johnston, Justin M. Fine, Seng Bum Michael Yoo, R. Becket Ebitz & Benjamin Y. Hayden

Exploiting correlations across trials and behavioral sessions to improve neural decoding

Yizi Zhang, Hanrui Lyu, Cole Hurwitz, Shuqi Wang, Charles Findling, Felix Hubert, Alexandre Pouget, International Brain Laboratory, Erdem Varol, Liam Paninski

Purkinje cells in Crus I and II encode the visual stimulus and the impending choice as monkeys learn a reinforcement based visuomotor association task

Anna E. Ipata, Valeria Fascianelli, Chris I. De Zeeuw, Naveen Sendhilnathan, Stefano Fusi, Michael E. Goldberg

Connectivity structure and dynamics of nonlinear recurrent neural networks

David G. Clark, Owen Marschall, Alexander van Meegen, Ashok Litwin-Kumar

Circuit-motivated generalized affine models characterize stimulus-dependent visual cortical shared variability

Ji Xia, Anna Jasper, Adam Kohn, Kenneth D Miller

Spatially organized striatal neuromodulator release encodes trajectory errors

Eleanor H Brown, Yihan Zi, Mai-Anh T Vu, Safa Bouabid, Jack Lindsey, Chinyere Godfrey-Nwachukwu, Aaquib Attarwala, Ashok Litwin-Kumar, Brian DePasquale, Mark Howe

Abstract representations emerge in human hippocampal neurons during inference behavior

Hristos S Courellis, Juri Minxha, Araceli R Cardenas, Daniel Kimmel, Chrystal M Reed, Taufik A Valiante, C Daniel Salzman, Adam N Mamelak, Stefano Fusi, Ueli Rutishauser

The neural basis of swap errors in working memory

Matteo Alleman, Matthew Panichello, Timothy J. Buschman, and W. Jeffrey Johnston

Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks

Valeria Fascianelli, Aldo Battista, Fabio Stefanini, Satoshi Tsujimoto, Aldo Genovesio & Stefano Fusi

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms

Ari Blau, Evan S Schaffer, Neeli Mishra, Nathaniel J Miska, The International Brain Laboratory, Liam Paninski, Matthew R Whiteway

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution

Yizi Zhang, Yanchen Wang, Donato Jimenez-Beneto, Zixuan Wang, Mehdi Azabou, Blake Richards, Olivier Winter, The International Brain Laboratory, Eva Dyer, Liam Paninski, Cole Hurwitz

Selective consolidation of learning and memory via recall-gated plasticity

Jack W Lindsey, Ashok Litwin-Kumar

Diversity of visual inputs to Kenyon cells of the Drosophila mushroom body

Ishani Ganguly, Emily L Heckman, Ashok Litwin-Kumar, E Josephine Clowney, Rudy Behnia

A mathematical theory of relational generalization in transitive inference

Samuel Lippl, Kenneth Kay, Greg Jensen, Vincent P. Ferrera, and L. F. Abbott

Perirhinal Cortex Learns A Predictive Map of The Task Environment

David G. Lee, Caroline A. McLachlan, Ramon Nogueira, Osung Kwon, Alanna E. Carey, Garrett House, Gavin D. Lagani, Danielle LaMay, Stefano Fusi & Jerry L. Chen

The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations

Holt, C., Miller, K.D., Ahmadian, Y.

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

Dan Biderman, Matthew R. Whiteway, Cole Hurwitz, Nicholas Greenspan, Robert S. Lee, Ankit Vishnubhotla, Richard Warren, Federico Pedraja, Dillon Noone, Michael M. Schartner, Julia M. Huntenburg, Anup Khanal, Guido T. Meijer, Jean-Paul Noel et al.

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2024

Predictive auxiliary objectives in deep RL mimic learning in the brain

A computational principle of habit formation

When does compositional structure yield compositional generalization? A kernel theory

Modular representations emerge in neural networks trained to perform context-dependent tasks

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

Semi-orthogonal subspaces for value mediate a binding and generalization trade-off

Exploiting correlations across trials and behavioral sessions to improve neural decoding

Purkinje cells in Crus I and II encode the visual stimulus and the impending choice as monkeys learn a reinforcement based visuomotor association task

Connectivity structure and dynamics of nonlinear recurrent neural networks

Circuit-motivated generalized affine models characterize stimulus-dependent visual cortical shared variability

Spatially organized striatal neuromodulator release encodes trajectory errors

Abstract representations emerge in human hippocampal neurons during inference behavior

The neural basis of swap errors in working memory

Neural representational geometries reflect behavioral differences in monkeys and recurrent neural networks

A study of animal action segmentation algorithms across supervised, unsupervised, and semi-supervised learning paradigms

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution

Selective consolidation of learning and memory via recall-gated plasticity

Diversity of visual inputs to Kenyon cells of the Drosophila mushroom body

A mathematical theory of relational generalization in transitive inference

Perirhinal Cortex Learns A Predictive Map of The Task Environment

The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools

Cluster Quilting: Spectral Clustering for Patchwork Learning

Estimating the Hallucination Rate of Generative AI

Evolution of connectivity architecture in the Drosophila mushroom body

Approximation-Aware Bayesian Optimization

A cerebellar granule cell-climbing fiber computation to learn to track long time intervals

When does compositional structure yield compositional generalization? A kernel theory

Versatile multiple object tracking in sparse 2D/3D videos via deformable image registration

Hue selectivity from recurrent circuitry in Drosophila

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