Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.
Department of Neurobiology, University of California, San Diego, CA, USA.
Nature. 2022 Sep;609(7925):119-127. doi: 10.1038/s41586-022-05112-2. Epub 2022 Aug 24.
Throughout their daily lives, animals and humans often switch between different behaviours. However, neuroscience research typically studies the brain while the animal is performing one behavioural task at a time, and little is known about how brain circuits represent switches between different behaviours. Here we tested this question using an ethological setting: two bats flew together in a long 135 m tunnel, and switched between navigation when flying alone (solo) and collision avoidance as they flew past each other (cross-over). Bats increased their echolocation click rate before each cross-over, indicating attention to the other bat. Hippocampal CA1 neurons represented the bat's own position when flying alone (place coding). Notably, during cross-overs, neurons switched rapidly to jointly represent the interbat distance by self-position. This neuronal switch was very fast-as fast as 100 ms-which could be revealed owing to the very rapid natural behavioural switch. The neuronal switch correlated with the attention signal, as indexed by echolocation. Interestingly, the different place fields of the same neuron often exhibited very different tuning to interbat distance, creating a complex non-separable coding of position by distance. Theoretical analysis showed that this complex representation yields more efficient coding. Overall, our results suggest that during dynamic natural behaviour, hippocampal neurons can rapidly switch their core computation to represent the relevant behavioural variables, supporting behavioural flexibility.
在日常生活中,动物和人类经常在不同的行为之间切换。然而,神经科学研究通常在动物执行一项行为任务时研究大脑,而对于大脑回路如何表示不同行为之间的切换知之甚少。在这里,我们使用一种行为学设置来测试这个问题:两只蝙蝠一起在一条 135 米长的隧道中飞行,它们在独自飞行(独奏)和飞过彼此时(交叉)之间切换导航。蝙蝠在每次交叉前增加它们的回声定位点击率,表明对另一只蝙蝠的关注。海马体 CA1 神经元在独自飞行时代表蝙蝠的自身位置(位置编码)。值得注意的是,在交叉期间,神经元通过自我位置快速切换到共同表示蝙蝠间的距离。这种神经元切换非常快-与 100 毫秒一样快-这可以通过非常快速的自然行为切换来揭示。神经元切换与回声定位所指示的注意信号相关。有趣的是,同一神经元的不同位置场往往对蝙蝠间的距离有非常不同的调谐,从而产生了位置到距离的复杂不可分离编码。理论分析表明,这种复杂的表示产生了更有效的编码。总的来说,我们的结果表明,在动态自然行为中,海马体神经元可以快速切换其核心计算以表示相关的行为变量,从而支持行为灵活性。