Publications

2023

Neural representational geometries correlate with behavioral differences in monkeys and recurrent neural networks

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

Corticotropin-releasing hormone signaling from prefrontal cortex to lateral septum suppresses interaction with familiar mice

Noelia Sofia de León Reyes, Paula Sierra Díaz, Ramon Nogueira et al.

The computational role of structure in neural activity and connectivity

Srdjan Ostojic, Stefano Fusi

Neuromuscular Basis of Drosophila Larval Rolling Escape Behavior

Patricia C Cooney, Yuhan Huang, Wenze Li, Dulanjana M Perera, Richard Hormigo, Tanya Tabachnik et al.

Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings

Zhiwen Ye, Andrew M Shelton, Jordan R Shaker, Julien M Boussard, Jennifer Colonell, Sahar Minavi, Susu Chen, Charlie Windolf, Cole Hurwitz et al.

A mathematical theory of relational generalization in transitive inference

Samuel Lippl, Kenneth Kay, Greg Jensen, Vincent P Ferrera, LF Abbott

Optimal routing to cerebellum-like structures

Samuel Muscinelli, Mark Wagner, Ashok Litwin-Kumar

DARTsort: A modular drift tracking spike sorter for high-density multi-electrode probes

Julien Boussard, Charlie Windolf, Cole Hurwitz, Hyun Dong Lee, Han Yu, Olivier Winter, Liam Paninski

Brain-wide representations of prior information in mouse decision-making

Charles Findling, Felix Hubert, International Brain Laboratory, Luigi Acerbi, Brandon Benson, Julius Benson, Daniel Birman, Niccolò Bonacchi, Matteo Carandini, Joana A Catarino, Gaelle A Chapuis, Anne K Churchland, Yang Dan et al.

Redundant representations are required to disambiguate simultaneously presented complex stimuli

W. Jeffrey Johnston, David Freedman

Factorized visual representations in the primate visual system and deep neural networks

Jack W. Lindsey, Elias B. Issa

Emergent neural dynamics and geometry for generalization in a transitive inference task

Kenneth Kay, Xue-Xin Wei, Ramin Khajeh, Manuel Beiran, Christopher J. Cueva, Greg Jensen, Vincent P. Ferrera, L. F. Abbott

Neural mechanisms of transitive inference and fast knowledge reassembly in learning neural networks

Thomas Miconi, Kenneth Kay

Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization

Benjamin Antin, Masato Sadahiro, Marta Gajowa, Marcus A. Triplett, Hillel Adesnik,Liam Paninski

Hue selectivity from recurrent circuitry in Drosophila

Matthias P Christenson, Álvaro Sanz Díez, Sarah L Heath, Maia Saavedra-Weisenhaus, Atsuko Adachi, L.F. Abbott, Rudy Behnia

A mechanism for differential control of axonal and dendritic spiking underlying learning in a cerebellum-like circuit

Salomon Z. Muller, L.F. Abbott, Nathaniel B. Sawtell

Theory of systems memory consolidation via recall-gated plasticity

Jack Lindsey, Ashok Litwin-Kumar

A Brain-Wide Map of Neural Activity during Complex Behaviour

International Brain Laboratory, Brandon Benson, Julius Benson, Daniel Birman, Niccolo Bonacchi, Matteo Carandini, Joana A Catarino, Gaelle A Chapuis, Anne K Churchland, Yang Dan, Peter Dayan, Eric EJ DeWitt ,Tatiana A Engel, Michele Fabbri et al.

Practical and Asymptotically Exact Conditional Sampling in Diffusion Models

Luhuan Wu, Brian L Trippe, Christian A Naesseth, David M Blei, John P Cunningham

Boosting of neural circuit chaos at the onset of collective oscillations

Agostina Palmigiano, Rainer Engelken, Fred Wolf

A ‘programming’ framework for recurrent neural networks

Manuel Beiran, Camille A. Spencer-Salmon & Kanaka Rajan

Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks

Amin Nejatbakhsh, Neel Dey, Vivek Venkatachalam, Eviatar Yemini, Liam Paninski, Erdem Varol

Amplified cortical neural responses as animals learn to use novel activity patterns

Bradley Akitake, Hannah M Douglas, Paul K LaFosse, Manuel Beiran, Ciana E Deveau, Jonathan O'Rawe, Anna J Li, Lauren N Ryan, Samuel P Duffy, Zhishang Zhou, Yanting Deng, Kanaka Rajan, Mark H Histed

Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm

Shuonan Chen, Bovey Y Rao, Stephanie Herrlinger, Attila Losonczy, Liam Paninski, Erdem Varol

Robust online multiband drift estimation in electrophysiology data

Charlie Windolf, Angelique C Paulk, Yoav Kfir, Eric Trautmann, Domokos Meszéna, William Muñoz, Irene Caprara, Mohsen Jamali, Julien Boussard, Ziv M Williams, Sydney S Cash, Liam Paninski, Erdem Varol

Bayesian target optimisation for high-precision holographic optogenetics

Marcus A. Triplett, Marta Gajowa, Hillel Adesnik, Liam Paninski

Posterior and Computational Uncertainty in Gaussian Processes

Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham

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

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

The Best Deep Ensembles Sacrifice Predictive Diversity

Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham

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 R Greenspan, Robert S Lee, Ankit Vishnubhotla, Michael Schartner, Julia M Huntenburg, Anup Khanal, Guido T Meijer, Jean-Paul Noel, Alejandro Pan-Vazquez, Karolina Z Socha et al.

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