Synergetic Computers and Cognition

This book explores the innovative concept of the synergetic computer, presenting it as a significant alternative to traditional neural networks. It highlights advantages such as the elimination of ghost states and the explicit determination of synaptic strengths, which enhance learning and classification processes. The second edition introduces new sections on transformation properties and stereopsis, while also addressing the application of pulse-coupled neural nets in pattern recognition. It serves as a valuable resource for scientists, engineers, and graduate students in informatics and psychology.