The field of neural modeling uses neuroscientific data and measurements to build computational abstractions that represent the functioning of a neural system. The timing of various neural signals conveys important information about the sensory world, and also about the relationships between activities occurring in different parts of a brain. Both theoretical and experimental advances are required to effectively understand and model such complex interactions within a neural system. This book aims to develop a unified understanding of temporal interactions in neural systems, including their representation, role and function. We present three different research perspectives arising from theoretical, engineering and experimental approaches.
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