2021
DOI: 10.1523/eneuro.0211-21.2021
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Divergence in Population Coding for Space between Dorsal and Ventral CA1

Abstract: Visual Abstract

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Cited by 14 publications
(16 citation statements)
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“…Mice were head-fixed and placed on a non-motorized run-wheel. An image of a 1.9m virtual one-dimensional track was projected onto a curved screen in front of the mouse (Figure 1a, b), such that the movement of the wheel caused a corresponding change in the virtual track position (Chockanathan and Padmanabhan, 2021; Gauthier and Tank, 2018). When the mouse reached the end of the track, a sweetened milk reward was provided and the mouse was returned to the start of the track.…”
Section: Resultsmentioning
confidence: 99%
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“…Mice were head-fixed and placed on a non-motorized run-wheel. An image of a 1.9m virtual one-dimensional track was projected onto a curved screen in front of the mouse (Figure 1a, b), such that the movement of the wheel caused a corresponding change in the virtual track position (Chockanathan and Padmanabhan, 2021; Gauthier and Tank, 2018). When the mouse reached the end of the track, a sweetened milk reward was provided and the mouse was returned to the start of the track.…”
Section: Resultsmentioning
confidence: 99%
“…As with metrics like firing rate, mean changes in pairwise correlations and functional connectivity represent the complex architecture of networks as a single value, which can often obscure critical aspects of network topology necessary to understand function. Inspired by studies from functional magnetic resonance imaging (fMRI) (Bullmore and Sporns, 2009; Chockanathan et al, 2019; Farahani et al, 2019) and previous work using graph theoretical approaches to study functional interactions across neuronal populations in CA1 (Chockanathan and Padmanabhan, 2021), we built on our correlation result by studying the topology of the functional connectivity we observed in our recordings. To do this, we constructed network graphs of the populations (Newman, 2003), in which nodes denoted neurons and edges denoted a pairwise correlation greater than 0.01 (Figure 4d).…”
Section: Resultsmentioning
confidence: 99%
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“…In contrast to a prior report on FSR neurons in ventral CA1 that project to the basolateral amygdala (Jimenez et al, 2020), we did not observe recruitment of FSR neurons into training context-associated ensembles in CA1 during recent recall. This differential contribution of dorsal and ventral hippocampal FSR neurons to context-associated ensembles may reflect output connectivity (basolateral amygdala vs. other downstream circuits) and distinct roles of dorsal and ventral hippocampus in encoding spatial and non-spatial information (Chockanathan & Padmanabhan, 2021;Fanselow & Dong, 2010;Strange et al, 2014). It is thought that the DG -CA3 -CA1 -ACC network undergoes changes in synaptic weights following learning that likely result in inter-regional ensembles.…”
Section: Discussionmentioning
confidence: 99%