Torioka T
Biol Cybern. 1978 Nov 10;31(1):27-35. doi: 10.1007/BF00337368.
It has been claimed that pattern separation in cerebellar cortex plays an important role in controlling movements and balance for vertebrates. A number of the neural models for cerebellar cortex have been proposed and their pattern separability has been analyzed. These results, however, only explain a part of pattern separability in random neural nets. The present paper is intended to study an extended theory of pattern separability in a new model with inhibitory connections. In addition to this, the effect of the number of connections on pattern separability is cleared up. It is also shown that the signal from the inhibitory connections has crucial importance for pattern separability.
据称，小脑皮质中的模式分离在控制脊椎动物的运动和平衡方面起着重要作用。已经提出了一些关于小脑皮质的神经模型，并分析了它们的模式可分离性。然而，这些结果仅解释了随机神经网络中模式可分离性的一部分。本文旨在研究一种具有抑制性连接的新模型中模式可分离性的扩展理论。除此之外，还阐明了连接数量对模式可分离性的影响。研究还表明，来自抑制性连接的信号对模式可分离性至关重要。
