Small, correlated changes in synaptic connectivity may facilitate rapid motor learning.
Small, correlated changes in synaptic connectivity may facilitate rapid motor learning.
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DOI：
10.1038/s41467-022-32646-w
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发表时间：
2022-09-02
影响因子：
16.6
通讯作者：
Clopath C
中科院分区：
文献类型：
--
作者：
Feulner B;Perich MG;Chowdhury RH;Miller LE;Gallego JA;Clopath C
动物能迅速调整自己的动作以适应外界的干扰，这一过程伴随着运动皮层神经活动的变化。实验研究表明，这些变化源于改变的输入（Hinput），而不是从局部连接（Hlocal）的变化，神经协方差在很大程度上保留在适应过程中。由于在体内测量突触变化仍然非常具有挑战性，我们使用模块化递归神经网络来定性测试这种解释。正如预期的那样，Hindput导致了小的活动变化，并在很大程度上保留了协方差。令人惊讶的是，假设稳定的协方差依赖于保留的电路连接，Hlocal导致的活动和协方差的变化仅略大，仍然在实验记录的范围内。这种相似性是由于Hlocal只需要小的、相关的连接变化就可以成功适应。对施加越来越大的行为变化的任务的模拟揭示了Hindput和Hlocal之间越来越大的差异，这在设计未来的实验时可以利用。动物如何能够迅速适应不断变化的环境需求的行为仍然知之甚少。在这里，作者使用一种建模方法来表明运动皮层中的突触可塑性可能是快速运动学习的基础，这表明保持神经协方差的小的相关连接变化在驱动行为适应方面非常有效。
Animals rapidly adapt their movements to external perturbations, a process paralleled by changes in neural activity in the motor cortex. Experimental studies suggest that these changes originate from altered inputs (Hinput) rather than from changes in local connectivity (Hlocal), as neural covariance is largely preserved during adaptation. Since measuring synaptic changes in vivo remains very challenging, we used a modular recurrent neural network to qualitatively test this interpretation. As expected, Hinput resulted in small activity changes and largely preserved covariance. Surprisingly given the presumed dependence of stable covariance on preserved circuit connectivity, Hlocal led to only slightly larger changes in activity and covariance, still within the range of experimental recordings. This similarity is due to Hlocal only requiring small, correlated connectivity changes for successful adaptation. Simulations of tasks that impose increasingly larger behavioural changes revealed a growing difference between Hinput and Hlocal, which could be exploited when designing future experiments. How animals are able to rapidly adapt their behaviour to changing environmental demands remains poorly understood. Here, the authors use a modelling approach to show that synaptic plasticity in motor cortex may underlie rapid motor learning, demonstrating that small, correlated connectivity changes that preserve neural covariance are highly effective in driving behavioural adaptation.
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影响因子：
4.6
作者：
Christou AI;Miall RC;McNab F;Galea JM
通讯作者：
Galea JM
影响因子：
2.5
作者：
Criscimagna-Hemminger, Sarah E.;Bastian, Amy J.;Shadmehr, Reza
通讯作者：
Shadmehr, Reza
影响因子：
16.6
作者：
Bellec, Guillaume;Scherr, Franz;Maass, Wolfgang
通讯作者：
Maass, Wolfgang
影响因子：
2.5
作者：
Kao, Jonathan C.
通讯作者：
Kao, Jonathan C.
DOI：
10.1523/jneurosci.4284-09.2010
发表时间：
2010-06-23
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Legenstein R;Chase SM;Schwartz AB;Maass W
通讯作者：
Maass W