Preserved neural population dynamics across animals performing similar behaviour
Preserved neural population dynamics across animals performing similar behaviour
复制标题
在执行相似行为的动物中保留神经群体动态
DOI:
10.1101/2022.09.26.509498
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
J. A. Gallego
中科院分区:
文献类型:
--
作者:
Mostafa Safaie;Joanna C. Chang;Junchol Park;L. Miller;J. Dudman;M. Perich;J. A. Gallego
Animals of the same species often exhibit similar behaviours that are advantageously adapted to their body and their environment. These behaviours are shaped by selection pressures over evolutionary timescales at the species level, yet each individual produces these behaviours using a different, uniquely constructed brain. It remains unclear how these common behavioural adaptations emerge from the idiosyncratic neural circuitry of a given individual. Here, we hypothesised that the adaptive behaviour of a species requires specific neural population ‘latent dynamics’. These latent dynamics should thus be preserved and identifiable across individuals within a species, regardless of the idiosyncratic aspects of each individual’s brain. Using recordings of neural populations from monkey and mouse motor cortex, we show that individuals from the same species share surprisingly similar neural dynamics when they perform the same behaviour. The similarity in neural population dynamics extends beyond cortical regions to the dorsal striatum, an evolutionarily older structure, and also holds when animals con-sciously plan future movements without overt behaviour. These preserved dynamics are behaviourally-relevant, allowing decoding of intended and ongoing movements across individuals. We posit that these emergent neural population dynamics result from evolutionarily-imposed constraints on brain development, and reflect a fundamental property of the neural basis of behaviour.
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影响因子:
9.2
作者:
Chen, Hung-Tu;Manning, Jeremy R.;van der Meer, Matthijs A. A.
通讯作者:
van der Meer, Matthijs A. A.
DOI:
10.1101/2020.10.27.358291
发表时间:
2020
期刊:
--
影响因子:
--
作者:
Steinmetz N
通讯作者:
Steinmetz N
DOI:
--
发表时间:
2014
期刊:
--
影响因子:
--
作者:
Matthew T. Kaufman;M. Churchland;S. Ryu
通讯作者:
Matthew T. Kaufman;M. Churchland;S. Ryu
影响因子:
25
作者:
Goaillard, Jean-Marc;Taylor, Adam L.;Schulz, David J.;Marder, Eve
通讯作者:
Marder, Eve