Active filtering: a predictive function of recurrent circuits of sensory cortex (review)

Histed MH (2025) Preprint, arXiv

Active filtering of sequences of neural activity by recurrent circuits of sensory cortex

Deveau CE, Zhou Z, LaFosse PK, Deng Y, Mirbagheri S, Steinmetz N, Histed MH (2024) Preprint, bioRxiv

Single cell optogenetics reveals attenuation-by-suppression in visual cortical neurons

LaFosse PK, Zhou Z, Scott VM, Deng Y, Histed MH (2023) Preprint, bioRxiv

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

Bicistronic expression of a high-performance Ca indicator & opsin

LaFosse PK, Zhou Z, Friedman NG, Deng Y, Li AJ, Akitake B, Histed MH (2023) eNeuro

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

Performance in even a simple perceptual task depends on mouse secondary visual areas

Goldbach HC, Akitake B, Leedy CE, Histed MH (2021) eLife

Inhibition stabilization is a widespread property of cortical networks

Sanzeni A, Akitake BC, Goldbach HC, Leedy CE, Brunel N, Histed MH (2020) eLife

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

Different inhibitory interneuron cell classes make distinct contributions to visual contrast perception

Cone JJ, Scantlen MD, Histed MH, Maunsell JH (2019) eNeuro

Feedforward inhibition allows input summation to vary in recurrent cortical networks

Histed MH (2018) eNeuro

Cortical neuronal networks can integrate inputs linearly, independent of synchrony

Histed MH, Maunsell JHR (2014) Proceedings of the National Academy of Sciences USA

Mouse primary visual cortex is used to detect both orientation and contrast changes

Glickfeld LL*, Histed MH*, Maunsell JHR (2013) Journal of Neuroscience

Psychophysical measurement of contrast thresholds in the behaving mouse

Histed MH, Carvalho LA, Maunsell JHR (2012) Journal of Neurophysiology

Insights into the cortical mechanisms of behavior from microstimulation experiments

Histed MH, Ni AM, Maunsell JHR (2012) Progress in Neurobiology

Similarity of visual selectivity among clonally related neurons in visual cortex

Ohtsuki G, Nishiyama M, Yoshida T, Murakami T, Histed MH, Lois C, Ohki K (2012) Neuron