Motor outputs are generated by the spinal cord in response to descending inputs from the brain. While particular descending commands generate specific outputs, how descending inputs interact with spinal cord circuitry to generate these outputs remains unclear. Here, we suggest that during development particular motor programmes are stored in premotor spinal circuitry, and that these can subsequently be retrieved when the associated descending input is received. We propose that different motor patterns are not stored in the spinal cord as a library of separate programmes, but that the spinal cord orthogonalises and normalises the various inputs, identifies the similarities and differences between them, and stores only the differences: similarities between patterns are recognised and used as a common basis that subsequent input patterns are built upon. By removing redundancy this can greatly increase the storage capacity of a system composed of a finite number of processing units, thus overcoming the problems associated with the storage limits of conventional artificial networks (e.g. catastrophic interference). Where possible we relate the various stages of the processing to the known circuitry and synaptic properties of spinal cord locomotor networks, and suggest experimental approaches that could test unknown aspects.

中文翻译：

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脊髓运动功能的存储和恢复的数学模型

脊髓响应于来自大脑的递减输入而产生马达输出。尽管特定的降序命令生成特定的输出，但是降序输入如何与脊髓电路交互以生成这些输出仍然不清楚。在这里，我们建议在开发过程中将特定的运动程序存储在运动前脊髓电路中，并且当接收到相关的下降输入时，可以随后检索这些程序。我们建议，不要将不同的运动模式作为单独程序的库存储在脊髓中，而是使脊髓正交化和归一化各种输入，确定它们之间的相似性和差异，仅存储差异：模式之间的相似性被识别，并用作后续输入模式所基于的共同基础。通过消除冗余，这可以极大地增加由有限数量的处理单元组成的系统的存储容量，从而克服与常规人工网络的存储限制相关的问题（例如，灾难性干扰）。在可能的情况下，我们将处理的各个阶段与脊髓运动网络的已知电路和突触特性联系起来，并提出可以测试未知方面的实验方法。灾难性干扰）。在可能的情况下，我们将处理的各个阶段与脊髓运动网络的已知电路和突触特性联系起来，并提出可以测试未知方面的实验方法。灾难性干扰）。在可能的情况下，我们将处理的各个阶段与脊髓运动网络的已知电路和突触特性联系起来，并提出可以测试未知方面的实验方法。