Neuromorphic Engineering: The Scientist's, Algorithms Designer's and Computer Architect's Perspectives on Brain-Inspired Computing by Elishai Ezra Tsur
- 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.