Precise optical probing of perceptual detection

Gill, Jonathan V.; Rinberg, Dmitry; Shoham, Sharon

doi:10.1101/456764

Cited by 13 publications

(8 citation statements)

References 38 publications

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“…We developed a novel experimental and theoretical approach that links the complex spatiotemporal language of the brain with perception and behavior. This is especially pertinent, given continued advancements in optical techniques that allow direct access and manipulation of the spatiotemporal neural codes, at the level of computations consequential to behavior (42)(43)(44)(45).…”

Section: Discussionmentioning

confidence: 99%

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Chong

Moroni

Wilson

et al. 2019

Preprint

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How does neural activity generate perception? The spatial identities and temporal latencies of activated units correlate with external sensory features, but finding the principal activity subspace that is consequential for perception, remains challenging. We trained mice to recognize synthetic odors constructed from parametrically-defined patterns of optogenetic activation, then measured perceptual changes during extensive and controlled perturbations across spatiotemporal dimensions. We modelled recognition as the matching of patterns to learned templates, finding that perceptually-meaningful templates are sequences of spatially-identified units, ordered by latencies relative to each other (with minimal effects of sniff). Within templates, individual units contribute additively, with larger contributions from earlier-activated units. Our synthetic approach reveals the fundamental logic of the olfactory code, and provides a general framework for testing links between sensory activity and perception.

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Section: Discussionmentioning

confidence: 99%

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Chong

Moroni

Wilson

et al. 2019

Preprint

Self Cite

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“…Determining how changes in spike rate mediate the functions of neural circuits is critical for understanding the brain. Currently, there is very little causal evidence describing how the brain uses changes in neuronal spiking to render information to downstream areas (but see Lerman et al, 2018;Carrillo-Reid et al, 2019;Marshel et al, 2019;Russell et al, 2019). Further work will be required to establish how changes in spiking in neuronal populations contribute to different brain computations.…”

Section: Implications For Future Workmentioning

confidence: 99%

Mice Preferentially Use Increases in Cerebral Cortex Spiking to Detect Changes in Visual Stimuli

et al. 2020

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Whenever the retinal image changes, some neurons in visual cortex increase their rate of firing whereas others decrease their rate of firing. Linking specific sets of neuronal responses with perception and behavior is essential for understanding mechanisms of neural circuit computation. We trained mice of both sexes to perform visual detection tasks and used optogenetic perturbations to increase or decrease neuronal spiking primary visual cortex (V1). Perceptual reports were always enhanced by increments in V1 spike counts and impaired by decrements, even when increments and decrements in spiking were generated in the same neuronal populations. Moreover, detecting changes in cortical activity depended on spike count integration rather than instantaneous changes in spiking. Recurrent neural networks trained in the task similarly relied on increments in neuronal activity when activity has costs. This work clarifies neuronal decoding strategies used by cerebral cortex to translate cortical spiking into percepts that can be used to guide behavior.

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“…Determining how changes in spike rate mediate the functions of neural circuits is critical for understanding the brain. Currently there is very little causal evidence describing how the brain uses changes in neuronal spiking to render information to downstream areas (but see [59][60][61][62]. Further work will be required to establish how changes in spiking in neuronal populations contribute to different brain computations.…”

Section: Implications For Future Workmentioning

confidence: 99%

Perceptual detection depends on spike count integration

Cone

Bade

Masse

et al. 2019

Preprint

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Whenever the retinal image changes some neurons in visual cortex increase their rate of firing, while others decrease their rate of firing. Linking specific sets of neuronal responses with perception and behavior is essential for understanding mechanisms of neural circuit computation. We trained mice to perform visual detection tasks and used optogenetic perturbations to increase or decrease neuronal spiking primary visual cortex (V1). Perceptual reports were always enhanced by increments in V1 spike counts and impaired by decrements, even when increments and decrements were delivered to the same neuronal populations. Moreover, detecting changes in cortical activity depended on spike count integration rather than instantaneous changes in spiking.Recurrent neural networks trained in the task similarly relied on increments in neuronal activity when activity was costly. This work clarifies neuronal decoding strategies employed by cerebral cortex to translate cortical spiking into percepts that can be used to guide behavior.

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Precise optical probing of perceptual detection

Cited by 13 publications

References 38 publications

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Mice Preferentially Use Increases in Cerebral Cortex Spiking to Detect Changes in Visual Stimuli

Perceptual detection depends on spike count integration

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