Neuromorphic Engineering: The Scientist’s, Algorithm Designer’s, and Computer Architect’s Perspectives on Brain-Inspired Computing

The book presents the field of neuromorphic engineering from the perspectives of the scientist, the algorithm designer, and the computer architect.
It covers the fundamentals of neuronal modeling, neuromorphic circuits, neuronal architectures, the neural engineering framework, and neuromorphic machine learning.
It zooms in and out of the different disciplines, allowing readers with diverse backgrounds to understand and appreciate the field. The book walks the thin line of being descriptive enough to give the reader a clear understanding while not being too technical and tedious. It was designed for graduate students in the fields of computer science, electrical engineering, neuroscience, and computational biology.