Recurrent cortical networks encode natural sensory statistics via sequence filtering

Deveau CE, Zhou Z, LaFosse PK, Deng Y, Mirbagheri S, Steinmetz N, Histed MH (2026) Neuron
• Published PDF; preprint link: bioRxiv

Active filtering: a predictive function of recurrent circuits of sensory cortex

Histed MH (2025) [review] Annual Review of Vision Science
• Preprint link: arXiv

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

Akitake BC*, Douglas HM*, LaFosse PK, Deveau CE, Li AJ, Ryan LN, Duffy SP, Zhou Z, Deng Y, Histed MH (2023) Current Biology

Excitation creates a distributed pattern of cortical suppression due to varied recurrent input

O'Rawe JF, Zhou Z, Li AJ, LaFosse PK, Goldbach HC, Histed MH (2023) Neuron

Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys

Sanzeni A, Palmigiano A, Nguyen TH, Luo J, Nassi JJ, Reynolds JH, Histed MH, Miller KD, Brunel N (2023) Neuron

Emergence of irregular activity in networks of strongly coupled conductance-based neurons

Sanzeni A, Histed MH, Brunel N (2022) Physical Review X

From choices to internal states

Histed, MH and O’Rawe, JF (2022) Nature Neuroscience

Computational Neuroscience: Finding patterns in cortical responses

Sanzeni A, Histed MH (2020) eLife

Response nonlinearities in networks of spiking neurons

Sanzeni A, Histed MH, Brunel N (2020) PLoS Computational Biology

A neural model of sequential movement planning and control of eye movements: Item-order-rank working memory and saccade selection by the supplementary eye fields

Silver MR, Grossberg S, Bullock D, Histed MH, and Miller EK (2011) Neural Networks