Hippocampal representation during collective spatial behaviour in bats

被引:10
|
作者
Forli, Angelo [1 ]
Yartsev, Michael M. [1 ,2 ]
机构
[1] Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA
[2] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA USA
关键词
NEURONS; MAP;
D O I
10.1038/s41586-023-06478-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Social animals live and move through spaces shaped by the presence, motion and sensory cues of multiple other individuals1-6. Neural activity in the hippocampus is known to reflect spatial behaviour7-9 yet its study is lacking in such dynamic group settings, which are ubiquitous in natural environments. Here we studied hippocampal activity in groups of bats engaged in collective spatial behaviour. We find that, under spontaneous conditions, a robust spatial structure emerges at the group level whereby behaviour is anchored to specific locations, movement patterns and individual social preferences. Using wireless electrophysiological recordings from both stationary and flying bats, we find that many hippocampal neurons are tuned to key features of group dynamics. These include the presence or absence of a conspecific, but not typically of an object, at landing sites, shared spatial locations, individual identities and sensory signals that are broadcasted in the group setting. Finally, using wireless calcium imaging, we find that social responses are anatomically distributed and robustly represented at the population level. Combined, our findings reveal that hippocampal activity contains a rich representation of naturally emerging spatial behaviours in animal groups that could in turn support the complex feat of collective behaviour. In bats engaged in spontaneous collective spatial behaviour, a robust spatial structure emerges at the group level whereby behaviour is anchored to specific locations, movement patterns and individual social preferences, and many hippocampal neurons are tuned to key features of group dynamics.
引用
收藏
页码:796 / +
页数:36
相关论文
共 50 条
  • [31] COLLECTIVE REPRESENTATION REAPPRAISED
    HURLEY, PA
    LEGISLATIVE STUDIES QUARTERLY, 1982, 7 (01) : 119 - 136
  • [32] A stable hippocampal code in freely flying bats
    Liberti, William A.
    Schmid, Tobias A.
    Forli, Angelo
    Snyder, Madeleine
    Yartsev, Michael M.
    NATURE, 2022, 604 (7904) : 98 - +
  • [33] A stable hippocampal code in freely flying bats
    William A. Liberti
    Tobias A. Schmid
    Angelo Forli
    Madeleine Snyder
    Michael M. Yartsev
    Nature, 2022, 604 : 98 - 103
  • [34] Different vulnerability in female's spatial behaviour after unilateral hippocampal inactivation
    Manuel Cimadevilla, Jose
    Luis Axias, Jorge
    NEUROSCIENCE LETTERS, 2008, 439 (01) : 89 - 93
  • [35] The impact of flavonoids on spatial memory in rodents: from behaviour to underlying hippocampal mechanisms
    Catarina Rendeiro
    Jeremy P. E. Spencer
    David Vauzour
    Laurie T. Butler
    Judi A. Ellis
    Claire M. Williams
    Genes & Nutrition, 2009, 4 : 251 - 270
  • [36] HIPPOCAMPAL FORMATION IN SOME ADULT INSECTIVOROUS BATS
    BROWN, JW
    ANATOMICAL RECORD, 1965, 151 (03): : 444 - &
  • [37] Collective Conscious / Collective Representation: Wundt and Durkheim
    Arkonac, Sibel A.
    TURKISH JOURNAL OF SOCIOLOGY-SOSYOLOJI DERGISI, 2010, 3 (21): : 103 - 113
  • [38] Proximity to boundaries reveals spatial context representation in human hippocampal CA1
    Geva-Sagiv, Maya
    Dimsdale-Zucker, Halle R.
    Williams, Ashley B.
    Ranganath, Charan
    NEUROPSYCHOLOGIA, 2023, 189
  • [39] Dopamine D1 Receptor Modulates Hippocampal Representation Plasticity to Spatial Novelty
    Tran, Anh Hai
    Uwano, Teruko
    Kimura, Tatsuo
    Hori, Etsuro
    Katsuki, Motoya
    Nishijo, Hisao
    Ono, Taketoshi
    JOURNAL OF NEUROSCIENCE, 2008, 28 (50): : 13390 - 13400
  • [40] Spatial representation versus navigation through hippocampal, prefrontal and ganglio-basal loops
    Banquet, JP
    Burnod, Y
    Gaussier, P
    Quoy, M
    Revel, A
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 1499 - 1504