Literature DB >> 32197086

Vision and Locomotion Combine to Drive Path Integration Sequences in Mouse Retrosplenial Cortex.

Dun Mao1, Leonardo A Molina2, Vincent Bonin3, Bruce L McNaughton4.   

Abstract

The retrosplenial cortex (RSC) is involved in a broad range of cognitive functions, integrating rich sensory, motor, and spatial signals from multiple brain areas, including the hippocampal system. RSC neurons show hippocampus-dependent activity reminiscent of place cell sequences. Using cellular calcium imaging in a virtual reality (VR)-based locomotion task, we investigate how the integration of visual and locomotor inputs may give rise to such activity in RSC. A substantial population shows neural sequences that track position in the VR environment. This activity is driven by the conjunction of visual stimuli sequences and active movement, which is suggestive of path integration. The activity is anchored to a reference point and predominantly follows the VR upon manipulations of optic flow against locomotion. Thus, locomotion-gated optic flow, combined with the presence of contextual cues at the start of each trial, is sufficient to drive the sequential activity. A subpopulation shows landmark-related visual responses that are modulated by animal's position in the VR. Thus, rather than fragmenting the spatial representation into equivalent locomotion-based ensemble versus optic-flow-based ensemble, in RSC, optic flow appears to override locomotion signals coherently in the population, when the gain between the two signals is altered.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  locomotion; neural sequences; optic flow; path integration; reference points; retrosplenial cortex; self-motion; task encoding; visual landmarks

Year:  2020        PMID: 32197086     DOI: 10.1016/j.cub.2020.02.070

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  14 in total

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2.  The fully automated bat (FAB) flight room: A human-free environment for studying navigation in flying bats and its initial application to the retrosplenial cortex.

Authors:  Daria Genzel; Michael M Yartsev
Journal:  J Neurosci Methods       Date:  2020-10-14       Impact factor: 2.390

3.  Bottom-up inputs are required for establishment of top-down connectivity onto cortical layer 1 neurogliaform cells.

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Journal:  Neuron       Date:  2021-09-02       Impact factor: 18.688

4.  Two scene navigation systems dissociated by deliberate versus automatic processing.

Authors:  Shosuke Suzuki; Frederik S Kamps; Daniel D Dilks; Michael T Treadway
Journal:  Cortex       Date:  2021-04-22       Impact factor: 4.644

5.  Adaptive integration of self-motion and goals in posterior parietal cortex.

Authors:  Andrew S Alexander; Janet C Tung; G William Chapman; Allison M Conner; Laura E Shelley; Michael E Hasselmo; Douglas A Nitz
Journal:  Cell Rep       Date:  2022-03-08       Impact factor: 9.995

Review 6.  Neurophysiological coding of space and time in the hippocampus, entorhinal cortex, and retrosplenial cortex.

Authors:  Andrew S Alexander; Jennifer C Robinson; Holger Dannenberg; Nathaniel R Kinsky; Samuel J Levy; William Mau; G William Chapman; David W Sullivan; Michael E Hasselmo
Journal:  Brain Neurosci Adv       Date:  2020-11-30

7.  Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex.

Authors:  Malcolm G Campbell; Alexander Attinger; Samuel A Ocko; Surya Ganguli; Lisa M Giocomo
Journal:  Cell Rep       Date:  2021-09-07       Impact factor: 9.423

8.  Context value updating and multidimensional neuronal encoding in the retrosplenial cortex.

Authors:  Weilun Sun; Ilseob Choi; Stoyan Stoyanov; Oleg Senkov; Evgeni Ponimaskin; York Winter; Janelle M P Pakan; Alexander Dityatev
Journal:  Nat Commun       Date:  2021-10-18       Impact factor: 14.919

9.  Robust information routing by dorsal subiculum neurons.

Authors:  Takuma Kitanishi; Ryoko Umaba; Kenji Mizuseki
Journal:  Sci Adv       Date:  2021-03-10       Impact factor: 14.136

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

Authors:  Dori M Grijseels; Kira Shaw; Caswell Barry; Catherine N Hall
Journal:  PLoS Comput Biol       Date:  2021-07-08       Impact factor: 4.475

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