涨落-反应关系统一神经场的动力学行为
Fluctuation-response Relation Unifies Dynamical Behaviors in Neural Fields
摘要：
预期是神经场用来补偿动态信息跟踪期间的传输和处理延迟的策略，并且可以通过缓慢的、局部的、抑制性反馈机制来实现，例如短期突触抑制、尖峰频率适应或来自其他层的抑制性反馈。移动网络状态的平移对称性的基础上，我们推导出通用的波动响应关系，提供统一的预测，链接在外部刺激的存在下，其跟踪行为的内在动力学的神经领域在他们的缺席。
英文摘要：
Anticipation is a strategy used by neural fields to compensate for transmission and processing delays during the tracking of dynamical information, and can be achieved by slow, localized, inhibitory feedback mechanisms such as short-term synaptic depression, spike-frequency adaptation, or inhibitory feedback from other layers. Based on the translational symmetry of the mobile network states, we derive generic fluctuation-response relations, providing unified predictions that link their tracking behaviors in the presence of external stimuli to the intrinsic dynamics of the neural fields in their absence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
