Large-scale two-photon calcium imaging in freely moving mice

Zong, Weijian; Obenhaus, Horst A.; Skytøen, Emilie R; Eneqvist, Hanna; Jong, Nienke L de; Vale, Ruben; Jorge, Marina; Moser, May‐Britt; Moser, Edvard I

doi:10.1016/j.cell.2022.02.017

Cited by 171 publications

(162 citation statements)

References 72 publications

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“…Numerous evidence and publications have recently pointed to rich spatial modulation across a wide range of visual thalamus and cortices (Hok et al 2018; Ji and Wilson 2007; Haggerty and Ji 2015; Saleem et al 2018; Fournier et al 2020; Campbell and Giocomo 2018; Flossmann and Rochefort 2021; Long et al 2021a; Zong et al 2022). A preliminary finding has suggested a compact spatial map that consists of place cells, gird cells, head-direction cells, and border cells exists in the rat V2 visual cortex (Long et al 2021a).…”

Section: Discussionmentioning

confidence: 99%

“…Vision plays an important role in spatial navigation, and various visual cues can be integrated with spatial cues to guide movement. In the literature, spatial tunings have been established in the dorsal lateral geniculate nucleus (dLGN), primary visual cortex (V1) and other visual cortical areas from head-fixed or freely-foraging animals during spatial navigation tasks (Fiser et al 2016; Hok et al 2018; Saleem et al 2018; Campbell and Giocomo 2018; Fournier et al 2020; Diamanti et al 2021; Flossmann and Rochefort 2021; Zong et al 2022). Vision and movement jointly contribute to hippocampal place codes (Chen et al 2013); simultaneous recordings of rodent V1 and hippocampal CA1 have also shown coherent coding of spatial signals (Ji and Wilson 2007; Haggerty and Ji 2015; Fournier et al 2020).…”

Section: Introductionmentioning

confidence: 99%

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Excitatory-Inhibitory Recurrent Dynamics Produce Robust Visual Grids and Stable Attractors

Zhang

Long

Zhang

et al. 2022

Preprint

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Spatially modulated grid cells has been recently found in the rat secondary visual cortex (V2) during activation navigation. However, the computational mechanism and functional significance of V2 grid cells remain unknown, and a theory-driven conceptual model for experimentally observed visual grids is missing. To address the knowledge gap and make experimentally testable predictions, here we trained a biologically-inspired excitatory-inhibitory recurrent neural network (E/I-RNN) to perform a two-dimensional spatial navigation task with multisensory (e.g., velocity, acceleration, and visual) input. We found grid-like responses in both excitatory and inhibitory RNN units, and these grid responses were robust with respect to the choices of spatial cues, dimensionality of visual input, activation function, and network connectivity. Dimensionality reduction analysis of population responses revealed a low-dimensional torus-like manifold and attractor, showing the stability of grid patterns with respect to new visual input, new trajectory and relative speed. We found that functionally similar receptive fields with strong excitatory-to-excitatory connection appeared within fully connected as well as structurally connected networks, suggesting a link between functional grid clusters and structural network. Additionally, multistable torus-like attractors emerged with increasing sparsity in inter- and intra-subnetwork connectivity. Finally, irregular grid patterns were found in a convolutional neural network (CNN)-RNN architecture while performing a visual sequence recognition task. Together, our results suggest new computational mechanisms of V2 grid cells in both spatial and non-spatial tasks.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Excitatory-Inhibitory Recurrent Dynamics Produce Robust Visual Grids and Stable Attractors

Zhang

Long

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Although it is still a challenge, combining the ecologically relevant behavioral research with advanced methods of brain imaging, measuring neuronal activity, and manipulation of specific circuits has become more and more feasible over the last years. Even though such methodologies are not without their challenges, we are at the point when newly developing technologies allow wireless recording/manipulating many neurons at a time in group-housed animals ( Anpilov et al., 2020 ; Cai et al., 2022 ; Caras and Sanes, 2017 ; Inagaki et al., 2019 ; Li et al., 2022 ; Lu et al., 2018 ; Mayer et al., 2019 ; Montgomery et al., 2015 ; Murphy et al., 2016 ; Pinnell et al., 2015 ; Yang et al., 2021 ; Zong et al., 2022 ). Broader implementation of those methodologies increases our chances of developing experiments, whose results will stand over time and thus enable us to break the impasse in proposing new, effective therapeutic strategies.…”

Section: Discussionmentioning

confidence: 99%

Blueprints for measuring natural behavior

Puścian

Knapska

2022

iScience

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“…Chen et al (1994) found HD cells in a higher visual cortical area, Oc2M 30 . HD cells in the visual cortex have also recently been recorded using a head-mounted two-photon calcium imaging microscope 62 . Notably, while the observed RVL values in the present study were lower than reported in classic HD brain regions, they were on par with those from the two-photon visual cortex data 62 .…”

Section: Discussionmentioning

confidence: 99%

Stable 3D Head Direction Signals in the Primary Visual Cortex

Guitchounts

Lotter

Dapello

et al. 2020

Preprint

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The mammalian brain's navigation system is informed in large part by visual signals. While the primary visual cortex (V1) is extensively interconnected with brain areas involved in computing head direction (HD) information, it is unknown to what extent navigation information is available in the population activity of visual cortex. To test whether information about head direction information is available in visual cortex, we recorded neuronal activity in V1 of freely behaving rats. We show that significant information about yaw, roll, and pitch of the head can be linearly decoded from V1 either in the presence or absence of visual cues. Individual V1 neurons were tuned to head direction, with a quarter of the neurons tuned to conjunctions of angles in all three planes. These results demonstrate the presence of a critical navigational signal in a primary cortical sensory area and support predictive coding theories of brain function.

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Large-scale two-photon calcium imaging in freely moving mice

Cited by 171 publications

References 72 publications

Excitatory-Inhibitory Recurrent Dynamics Produce Robust Visual Grids and Stable Attractors

Excitatory-Inhibitory Recurrent Dynamics Produce Robust Visual Grids and Stable Attractors

Blueprints for measuring natural behavior

Stable 3D Head Direction Signals in the Primary Visual Cortex

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