Modulation of visual cortex by hippocampal signals

Fournier, Julien; Saleem, Aman B.; Diamanti, Efthymia; Wells, Miles J.; Harris, Kenneth D.; Carandini, Matteo

doi:10.1101/586917

Cited by 13 publications

(24 citation statements)

References 40 publications

(61 reference statements)

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“…Such landmark processing and the integration of landmarks across viewpoints has been suggested to be fundamental to anchor our sense of direction in space 58 . In addition, locomotion 59,60 and world-centered location 61,62 have been shown to modulate EVC activity in rodents. Here, we observed that locomotion had a positive effect on model performance in EVC and RSC, suggesting stronger directional tuning in these regions during running (Fig.…”

Section: Discussionmentioning

confidence: 99%

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Behavior-dependent directional tuning in the human visual-navigation network

Nau

Schröder²,

Frey

et al. 2020

Nat Commun

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The brain derives cognitive maps from sensory experience that guide memory formation and behavior. Despite extensive efforts, it still remains unclear how the underlying population activity unfolds during spatial navigation and how it relates to memory performance. To examine these processes, we combined 7T-fMRI with a kernel-based encoding model of virtual navigation to map world-centered directional tuning across the human cortex. First, we present an in-depth analysis of directional tuning in visual, retrosplenial, parahippocampal and medial temporal cortices. Second, we show that tuning strength, width and topology of this directional code during memory-guided navigation depend on successful encoding of the environment. Finally, we show that participants' locomotory state influences this tuning in sensory and mnemonic regions such as the hippocampus. We demonstrate a direct link between neural population tuning and human cognition, where high-level memory processing interacts with network-wide visuospatial coding in the service of behavior.

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Section: Discussionmentioning

confidence: 99%

“…Areas such as the PHG code direction even in the absence of visual experience 19 . In addition, shared information and activity covariations between the EVC and the hippocampal formation suggest that early perceptual processing could well be modulated by higher-level cognitive processes 6,61,62,[66][67][68] .…”

Section: Discussionmentioning

confidence: 99%

Behavior-dependent directional tuning in the human visual-navigation network

Nau

Schröder²,

Frey

et al. 2020

Nat Commun

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show abstract

“…We believe these two options are not exclusive and the underlying processes might strongly interact in our naturalistic task. Locomotion and world-centered location (Fournier et al, 2019;Saleem et al, 2018) have for example been shown to modulate EVC activity in rodents. Here, we observed that locomotion had a positive effect on model performance in EVC and RSC, suggesting stronger directional tuning in these regions during running (Fig.…”

Section: Visual Information and Head Directionmentioning

confidence: 99%

“…Areas such as the PHG code direction even in the absence of visual experience (Bellmund et al, 2016). In addition, shared information and activity covariations between the EVC and the hippocampal formation suggest that early perceptual processing could well be modulated by higher-level cognitive processes (Bosch et al, 2014;Fournier et al, 2019;Hindy et al, 2016;Kok and Turk-Browne, 2018;Meister and Buffalo, 2016;Nau et al, 2018a;Saleem et al, 2018).…”

Section: Visual Information and Head Directionmentioning

confidence: 99%

Behavior-dependent directional tuning in the human visual-navigation network

Nau

Schröder²,

Frey

et al. 2019

Preprint

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The brain derives cognitive maps from sensory experience to guide memory formation and behavior. Despite extensive efforts, it still remains unclear how the underlying population activity relates to active behavior and memory performance. Here, we combined 7T-fMRI with a kernelbased encoding model of virtual navigation to map world-centered directional tuning across the human cortex. First, we present an in-depth analysis of directional tuning in visual, retrosplenial and parahippocampal cortices and the hippocampus. Second, we show that tuning strength, width and topology of this directional code during memory-guided navigation depend on successful encoding of the environment. Finally, we show that participants' locomotory state influences this tuning in sensory and mnemonic regions such as the hippocampus. We demonstrate a direct link between neural population tuning and human cognition and show that high-level memory processing interacts with network-wide environmental coding in the service of behavior.

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“…[18, 19]). Fournier et al [20] proposed a statistical method that uses the peak activity in the rate map of a cell and compares it to the peak activity in shuffled versions of the cell. An alternative approach [21] detects place cells from the stability of their activity as a function of location, a method based on those used in electrophysiology experiments [3].…”

Section: Introductionmentioning

confidence: 99%

Choice of method of place cell classification determines the population of cells identified

Grijseels

Shaw²,

Barry

et al. 2021

Preprint

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Place cells, spatially responsive hippocampal cells, provide the neural substrate supporting navigation and spatial memory. Historically most studies of these neurons have used electrophysiological recordings from implanted electrodes but optical methods, measuring intracellular calcium, are becoming increasingly common. Several methods have been proposed as a means to identify place cells based on their calcium activity but there is no common standard and it is unclear how reliable different approaches are. Here we tested three methods that have previously been applied to two-photon hippocampal imaging or electrophysiological data, using both model datasets and real imaging data. These methods use different parameters to identify place cells, including the peak activity in the place field, compared to other locations (the Peak method); the stability of cells’ activity over repeated traversals of an environment (Stability method); and a combination of these parameters with the size of the place field (Combination method). The three methods performed differently from each other on both model and real data. The Peak method showed high sensitivity and specificity for detecting model place cells and was the most robust to variations in place field width, reliability and field location. In real datasets, vastly different numbers of place cells were identified using the three methods, with little overlap between the populations identified as place cells. Therefore, choice of place cell detection method dramatically affects the number and properties of identified cells. We recommend the Peak method be used in future studies to identify place cell populations, unless there is an explicit theoretical reason for detecting cells with more narrowly defined properties.

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Modulation of visual cortex by hippocampal signals

Cited by 13 publications

References 40 publications

Behavior-dependent directional tuning in the human visual-navigation network

Behavior-dependent directional tuning in the human visual-navigation network

Behavior-dependent directional tuning in the human visual-navigation network

Choice of method of place cell classification determines the population of cells identified

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