The geometry of cortical representations of touch in rodents

Nogueira, Ramon; Rodgers, Chris C.; Bruno, Randy M.; Fusi, Stefano

doi:10.1101/2021.02.11.430704

Cited by 9 publications

(10 citation statements)

References 62 publications

(84 reference statements)

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“…This multiplicative interaction can also be viewed as a form of nonlinear mixed selectivity, which has been shown to greatly expand the discriminative capacity of a neural code (Nogueira et al, 2021; Rigotti et al, 2013). The implications of nonlinear mixed selectivity have primarily been explored in the context of categorical variables, rather than continuous variables as observed here.…”

Section: Discussionmentioning

confidence: 99%

“…Future research could take advantage of genetic methods available in mice to determine the neural circuit mechanisms that implement this computation (Luo et al, 2018;Niell and Scanziani, 2021;O'Connor et al, 2009). This multiplicative interaction can also be viewed as a form of nonlinear mixed selectivity, which has been shown to greatly expand the discriminative capacity of a neural code (Nogueira et al, 2021;Rigotti et al, 2013). The implications of nonlinear mixed selectivity have primarily been explored in the context of categorical variables, rather than continuous variables as observed here.…”

Section: Integration Of Visual Input and Eye/head Positionmentioning

confidence: 99%

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Joint coding of visual input and eye/head position in V1 of freely moving mice

Parker

Abe

Leonard

et al. 2022

Preprint

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Visual input to the brain during natural behavior is highly dependent on movements of the eyes, head, and body. Neurons in mouse primary visual cortex (V1) respond to eye and head movements, but how information about eye and head position is integrated with visual processing during free movement is unknown, since visual physiology is generally performed under head-fixation. To address this, we performed single-unit electrophysiology in V1 of freely moving mice while simultaneously measuring the mouse's eye position, head orientation, and the visual scene from the mouse's perspective. We mapped spatiotemporal receptive fields using a generalized linear model (GLM) that predicted the activity of V1 neurons based on gaze-corrected visual input. Critically, a large fraction of visually-responsive neurons showed tuning for eye position and head orientation. Incorporating these variables into the GLM revealed that visual and positional signals in most neurons are multiplicatively integrated, consistent with computation via gain fields and nonlinear mixed selectivity. These results provide new insight into coding in mouse V1, and more generally provide a paradigm for performing visual physiology under natural conditions, including active sensing and ethological behavior.

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Section: Discussionmentioning

confidence: 99%

Section: Integration Of Visual Input and Eye/head Positionmentioning

confidence: 99%

Joint coding of visual input and eye/head position in V1 of freely moving mice

Parker

Abe

Leonard

et al. 2022

Preprint

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“…Such generalized representations can be considered to be abstract (27), as the classifiers report a given variable independent of changes in one or more other variables. These abstract representationswhich are widely studied in the machine learning community, where they are called disentangled representations -have been observed in several brain areas (27)(28)(29).…”

Section: Social and Spatial Features Are Represented In Different Subspaces Of The Neural Activity Spacementioning

confidence: 99%

Tuned geometries of hippocampal representations meet the demands of social memory

Boyle

Posani

Irfan

et al. 2022

Preprint

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Social recognition memory encompasses two distinct processes: familiarity - the ability to rapidly distinguish a novel from familiar individual - and recollection, the recall of detailed episodic memories of prior encounters with familiar individuals. Although it is clear that the hippocampus is important for different forms of episodic memory, including spatial memory and social recognition memory, whether and how neural activity in this single brain region may be able to encode both social familiarity and social recollection remains unclear. We addressed such questions using microendoscopic calcium imaging from pyramidal neurons in the dorsal CA2 region of the hippocampus (dCA2), an area crucial for social recognition memory that encodes social and spatial information, as mice explored novel and familiar conspecifics. Here we demonstrate that the geometry of dCA2 representations in neural activity space enables social familiarity, social identity, and spatial information to be readily disentangled. Importantly, highly familiar littermates were encoded in higher-dimensional neural representations compared to novel individuals. As a result of this coding strategy, dCA2 neural activity was able to both provide an abstract, low-dimensional representation of social familiarity that could readily distinguish a novel from familiar individual and encode detailed episodic memories associated with familiar individuals.

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“…2S4, 4S2). We used two different approaches to fit the SVMs: individual sessions and pseudo-populations 72,73 . For the individual analysis, we fitted an independent SVM on each individual session (10 sessions for ILA CRH and 10 sessions for rdLS recordings) and evaluated the cross-validated decoding performance per session.…”

Section: Classifier Analysismentioning

confidence: 99%

Corticotropin-releasing hormone signaling from prefrontal cortex to lateral septum supports social novelty preference

León-Reyes

Diaz

Nogueira

et al. 2022

Preprint

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Social preference, the decision to interact with one member of the same species over another, is a key feature of optimizing social interactions. In rodents, social preference relies on both extrinsic factors, such as sex, strain and kinship, and intrinsic ones, such as the memory of previous encounters, which favors interactions with novel compared to familiar animals (social novelty preference). At present, it is unclear which neuronal circuits guide social preferences and whether such circuits promote social interactions with the preferred individuals or suppress interactions with the non- preferred ones. Although both the infra-limbic area of the pre-frontal cortex (ILA) and the lateral septum (LS) have been shown to support social novelty preference, the neuronal circuits and molecular mechanisms by which these brain regions interact to regulate social interactions are unknown. Here, we identify a population of inhibitory neurons in ILA that express the neuropeptide corticotropin releasing hormone (CRH) and project to the rostro-dorsal region of LS (rdLS). Release of CRH from ILA in rdLS during interactions with familiar mice disinhibits rdLS neurons, thereby suppressing interactions with familiar mice and contributing to social novelty preference. We further demonstrate how the maturation of CRH expression during the first two post-natal weeks enables the developmental shift from a preference for littermates in juveniles to a preference for novel mice in adults.

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The geometry of cortical representations of touch in rodents

Cited by 9 publications

References 62 publications

Joint coding of visual input and eye/head position in V1 of freely moving mice

Joint coding of visual input and eye/head position in V1 of freely moving mice

Tuned geometries of hippocampal representations meet the demands of social memory

Corticotropin-releasing hormone signaling from prefrontal cortex to lateral septum supports social novelty preference

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