ArticleProceedings of the National Academy of Sciences of the United States of America2024
Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Probing inter-areal computations with a two-photon holographic mesoscope.Nature neuroscience · 2026Article
- Passive stabilization of low-power laser beams in soft hydrogels with parabolic-index profile for optogenetic neural stimulation: a phase analysis.RSC advances · 2026Article
- Voltage imaging as a window into neural computation.Neurophotonics · 2026Article
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- Recurrent pattern completion drives the neocortical representation of sensory inference.Nature neuroscience · 2025Article
- Chronic alteration of CabioRxiv : the preprint server for biology · 2025Article
- Recurrent circuits encode de novo visual center-surround computations in the mouse superior colliculus.PLoS biology · 2025Article
- Rapid rebalancing of co-tuned ensemble activity in the auditory cortex.bioRxiv : the preprint server for biology · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Feature-specific inhibitory connectivity augments the accuracy of cortical representations.bioRxiv : the preprint server for biology · 2025Article
- Convergent neural dynamical systems for task control in artificial networks and human brains.bioRxiv : the preprint server for biology · 2025Article
- Exact linear theory of perturbation response in a space- and feature-dependent cortical circuit model.bioRxiv : the preprint server for biology · 2025Article
- Article
- Recurrent cortical networks encode natural sensory statistics via sequence filtering.bioRxiv : the preprint server for biology · 2025Article
- Single-unit activations confer inductive biases for emergent circuit solutions to cognitive tasks.Nature machine intelligence · 2025Article
- Cellular-resolution optogenetics reveals attenuation-by-suppression in visual cortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
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Abstract
The relationship between neurons' input and spiking output is central to brain computation. Studies in vitro and in anesthetized animals suggest that nonlinearities emerge in cells' input-output (IO; activation) functions as network activity increases, yet how neurons transform inputs in vivo has been unclear. Here, we characterize cortical principal neurons' activation functions in awake mice using two-photon optogenetics. We deliver fixed inputs at the soma while neurons' activity varies with sensory stimuli. We find that responses to fixed optogenetic input are nearly unchanged as neurons are excited, reflecting a linear response regime above neurons' resting point. In contrast, responses are dramatically attenuated by suppression. This attenuation is a powerful means to filter inputs arriving to suppressed cells, privileging other inputs arriving to excited neurons. These results have two major implications. First, somatic neural activation functions in vivo accord with the activation functions used in recent machine learning systems. Second, neurons' IO functions can filter sensory inputs-not only do sensory stimuli change neurons' spiking outputs, but these changes also affect responses to input, attenuating responses to some inputs while leaving others unchanged.
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