Abstract
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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Cecchi, G., Rao, A.R. (2012). Introduction. In: Rao, A., Cecchi, G. (eds) The Relevance of the Time Domain to Neural Network Models. Springer Series in Cognitive and Neural Systems, vol 3. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-0724-9_1
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DOI: https://doi.org/10.1007/978-1-4614-0724-9_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-0723-2
Online ISBN: 978-1-4614-0724-9
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