Discrete Neural Computation
Interest in artificial neural networks has sparked research efforts in many disciplines, including neurobiology, physics, mathematics, computer science, and engineering. To help readers keep pace, this book brings together in one volume the recent developments in discrete neural computation.
Discrete Neural Computation:
- Begins by discussing basic models for discrete neural computation and fundamental concepts in computational complexity
- Establishes efficient designs of threshold circuits for computing various functions
- Develops techniques for analyzing the computational power of neural models
Whether used as a textbook or reference, Discrete Neural Computation presents an integrated approach designed to promote a better understanding of the foundations of neural computation and stimulate further development.