Space-Time Computing with Temporal Neural Networks

Discover the groundbreaking concepts of Space-Time Computing with Temporal Neural Networks by James E. Smith, published by Springer International Publishing AG in 2017. This insightful paperback spans 220 pages and delves into the innovative world of neural networks, where neuron inputs are encoded as spike patterns. The book expertly explains how these neurons are trained to recognize similarities among input patterns, effectively clustering them into a more manageable set of output patterns. With its cutting-edge approach, this work is essential for anyone interested in the intersection of computing and neuroscience. Whether you are a student, researcher, or professional in the field, this book provides a comprehensive understanding of temporal neural networks and their applications. Enhance your knowledge and stay ahead in the rapidly evolving landscape of space-time computing.