Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding

Levy, Maayan; Sporns, Olaf; MacLean, Jason N.

doi:10.2139/ssrn.3477579

Cited by 6 publications

(16 citation statements)

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“…1b)(11.53±1.62% unique edges, 12.96±2.66% edges shared between two directions, 75.51±3.98% edges that are present in more than 2 FNs). Furthermore, the similarity of FNs correlated with stimulus similarity 20 (Fig. 1c), with increased similarity for directions that are adjacent (e.g.…”

Section: Resultsmentioning

confidence: 90%

“…Pairwise correlations, like spikes, arise from variables both external and internal to the population of neurons recorded. Unlike spikes, studies have successfully segmented correlations demonstrating that correlations can be stimulus dependent [20][21][22] , can reflect local integration of synaptic inputs 23,24 , and can arise from global or broadcast signals within neocortex 25,26 . Pairwise correlations have been shown to contain sufficient information about neuronal dynamics to accurately predict single trial activity of a given neuron from its correlated counterparts [27][28][29] , termed peer-prediction 30 .…”

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confidence: 99%

“…Pairwise correlations have been shown to contain sufficient information about neuronal dynamics to accurately predict single trial activity of a given neuron from its correlated counterparts [27][28][29] , termed peer-prediction 30 . Moreover, pairwise correlations have also been employed to construct accurate single trial decoders 20,28 . Both lines of evidence indicate that pairwise correlations carry information about sensory stimuli above and beyond that carried by spikes alone 27,31 .…”

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confidence: 99%

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A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials

Levy

Guo

MacLean

2022

Preprint

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Spike trains in cortical neuronal populations vary in number and timing trial-to-trial, rendering a viable single trial coding scheme for sensory information elusive. Correlations between pairs of neocortical neurons can be segmented into either sensory or noise according to their stimulus specificity. Here we show that pairs of spikes, corresponding to reliable sensory correlations in imaged populations in layer 2/3 of mouse visual cortex are particularly informative of visual stimuli. This set of spikes is sparse and exhibits comparable levels of trial-to-trial variance relative to the full spike train. Despite this, correspondence of pairs of spikes to a specific set of sensory correlations identifies spikes that carry more information per spike about the visual stimulus than the full set or any other matched set of spikes. Moreover, this sparse subset is more accurately decoded, regardless of the decoding algorithm employed. Our findings suggest that consistent pairwise correlations between neurons, rather than first-order statistical features of spike trains, may be an organizational principle of a single trial sensory coding scheme.

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Section: Resultsmentioning

confidence: 90%

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confidence: 99%

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confidence: 99%

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A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials

Levy

Guo

MacLean

2022

Preprint

Self Cite

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“…The method described above assumes the response fields of the neuron are spatially tuned. However, this does not imply that the spatially untuned neurons do not contribute to the code [45–48], but with our technique only the spatially tuned neurons can be explicitly tested. To test for spatial tuning the firing rate data was shuffled over the position data obtained from the best-fitting model [17,19].…”

Section: Supplementary Methodsmentioning

confidence: 99%

Landmark-Centered Coding in Frontal Cortex Visual Responses

Schütz¹,

Bharmauria²,

Yan³

et al. 2020

Preprint

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Visual landmarks influence spatial cognition, navigation and goal-directed behavior, but their influence on visual coding in sensorimotor systems is poorly understood. We hypothesized that visual responses in frontal cortex control gaze areas encode potential targets in an intermediate gaze-centered / landmark-centered reference frame that might depend on specific target-landmark configurations rather than a global mechanism. We tested this hypothesis by recording neural activity in the frontal eye fields (FEF) and supplementary eye fields (SEF) while head-unrestrained macaques engaged in a memory-delay gaze task. Visual response fields (the area of visual space where targets modulate activity) were tested for each neuron in the presence of a background landmark placed at one of four oblique configurations relative to the target stimulus. 102 of 312 FEF and 43 of 256 SEF neurons showed spatially tuned response fields in this task. We then fit these data against a mathematical continuum between a gaze-centered model and a landmark-centered model. When we pooled data across the entire dataset for each neuron, our response field fits did not deviate significantly from the gaze-centered model. However, when we fit response fields separately for each target-landmark configuration, the best fits shifted (mean 37% / 40%) toward landmark-centered coding in FEF / SEF respectively. This confirmed an intermediate gaze / landmark-centered mechanism dependent on local (configuration-dependent) interactions. Overall, these data show that external landmarks influence prefrontal visual responses, likely helping to stabilize gaze goals in the presence of variable eye and head orientations.

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“…The method described above assumes the response fields of the neuron are spatially tuned. This does not imply that the spatially untuned neurons do not contribute to the code [58][59][60][61] , but with our technique only the spatially tuned neurons can be explicitly tested.…”

Section: Test For Spatial Tuningmentioning

confidence: 99%

Landmark-Centered Coding in Frontal Cortex Visual Responses

Schütz

Bharmaurisa

Yan

et al. 2021

Preprint

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Visual landmarks influence spatial cognition, navigation and goal-directed behavior, but their influence on visual coding for action is poorly understood. Here, we tested landmark influence on prefrontal visual responses by recording from 568 neurons in the frontal (FEF) and supplementary (SEF) eye fields of rhesus macaques. The response field (the area of visual space that modulates activity) for each neuron was tested in the presence of a landmark placed at one of four configurations. We then fit the spatially tuned response fields against a spatial coordinate continuum between gaze- and landmark-centered models. When response fields were fit separately for each target-landmark configuration, the best fits shifted (mean 37% / 40%) toward landmark-centered coding in FEF / SEF respectively, confirming a configuration-dependent intermediate coding scheme. Overall, these data show that external landmarks influence prefrontal visual responses, possibly helping to stabilize movement goals in the presence of noisy internal egocentric signals.

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Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding

Cited by 6 publications

References 0 publications

A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials

A sparse set of spikes corresponding to reliable correlations is highly informative of visual stimulus on single trials

Landmark-Centered Coding in Frontal Cortex Visual Responses

Landmark-Centered Coding in Frontal Cortex Visual Responses

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