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首页> 外文期刊>Journal of Computational Neuroscience >Emergent dynamics in a model of visual cortex
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Emergent dynamics in a model of visual cortex

机译：视觉皮层模型中的紧急动力学

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This paper proposes that the network dynamics of the mammalian visual cortex are highly structured and strongly shaped by temporally localized barrages of excitatory and inhibitory firing we call 'multiple-firing events' (MFEs). Our proposal is based on careful study of a network of spiking neurons built to reflect the coarse physiology of a small patch of layer 2/3 of V1. When appropriately benchmarked this network is capable of reproducing the qualitative features of a range of phenomena observed in the real visual cortex, including spontaneous background patterns, orientation-specific responses, surround suppression and gamma-band oscillations. Detailed investigation into the relevant regimes reveals causal relationships among dynamical events driven by a strong competition between the excitatory and inhibitory populations. It suggests that along with firing rates, MFE characteristics can be a powerful signature of a regime. Testable predictions based on model observations and dynamical analysis are proposed.
机译：本文提出，哺乳动物视觉皮层的网络动力学是高度结构化的，并且由兴奋性和抑制性射击的时间局部弹幕形成，我们称之为“多次射击事件”（MFE）。我们的建议基于对尖峰神经元网络的仔细研究，该网络旨在反映V1第2/3层小补丁的粗略生理学。当适当地进行基准测试时，该网络能够重现在真实视觉皮层中观察到的一系列现象的定性特征，包括自发的背景图案，特定方向的响应，环绕抑制和伽马带振荡。对相关制度的详细调查显示，在兴奋性和抑制性人群之间的激烈竞争推动下，动力事件之间存在因果关系。这表明，除了开火率外，MFE的特征可能是该政权的有力标志。提出了基于模型观测和动力学分析的可测预测。

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