Publications

2025

Contextual modulation emerges by integrating feedforward and feedback processing in mouse visual cortex

Di Santo, S., Dipoppa, M., Keller, A., Roth, M., Scanziani, M., Miller, K.D.

The geometry of the neural state space of decisions

Monsalve-Mercado, M.M., Miller, K.D.

2024

Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model

Chau, H.Y., *Miller, K.D., *Palmigiano, A. (*: authors contributed equally)

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment

Dipoppa, M., Nogueira, R., Bugeon, S., Friedman, Y., Reddy, C.B., Harris, K.D., Ringach, D.L., Miller, K.D., Carandini, M., Fusi, S.

Understanding the neural code of stress to control anhedonia

Frances Xia, Valeria Fascianelli, Nina Vishwakarma, Frances Grace Ghinger, Andrew Kwon, Mark M. Gergues, Lahin K. Lalani, Stefano Fusi & Mazen A. Kheirbek

Impaired spatial coding and neuronal hyperactivity in the medial entorhinal cortex of aged AppNL-G-F mice

Gustavo A. Rodriguez, Eva F. Rothenberg, C. Oliver Shetler, Andrew Aoun, Lorenzo Posani, Srujan V. Vajram, Thomas Tedesco, Stefano Fusi, S. Abid Hussaini

Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

Lorenzo Posani, Shuqi Wang, Samuel Muscinelli, Liam Paninski, and Stefano Fusi

Computation-aware Gaussian Processes: Model Selection and Linear-time Inference

Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham

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

Illusions as features: the generative side of recognition

Tahereh Toosi, Kenneth D. Miller

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

Model Based Inference of Synaptic Plasticity Rules

Yash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan, Glenn C Turner, James E Fitzgerald, Jan Funke

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

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2025

Contextual modulation emerges by integrating feedforward and feedback processing in mouse visual cortex

The geometry of the neural state space of decisions

2024

Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment

Understanding the neural code of stress to control anhedonia

Impaired spatial coding and neuronal hyperactivity in the medial entorhinal cortex of aged AppNL-G-F mice

Rarely categorical, always high-dimensional: how the neural code changes along the cortical hierarchy

Computation-aware Gaussian Processes: Model Selection and Linear-time Inference

Predictive auxiliary objectives in deep RL mimic learning in the brain

A computational principle of habit formation

Illusions as features: the generative side of recognition

When does compositional structure yield compositional generalization? A kernel theory

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

Model Based Inference of Synaptic Plasticity Rules

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

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