In this advanced text, the author, starting with the simple assumption that psychological associations are represented by the strength of synaptic connections, details several mechanistic descriptions of complex cognitive behaviors. Part I presents neural network theories of classical conditioning; Part II describes neural networks of operant conditioning, and animal communication; Part III discusses spatial and cognitive mapping, and finally, Part IV shows how neural network models permit one to simultaneously develop psychological theories and models of the brain. The book includes computer software that allows the computer simulation of classical conditioning and the effect of different brain lesions on many classical paradigms. All those people interested in neural networks, from psychologists, through neuroscientists to computer scientists working on artificial intelligence and robotics, will find this book an excellent advanced guide to the subject.
Latent Inhibition and Its Neural Substrates describes a neural network model of attentional processes during associative learning, mainly latent inhibition, and shows how variables in the model can be mapped onto different brain regions and neurotransmitters. The result is a neurophysiological model capable of generating predictions and descriptions of numerous experimental results using latent inhibition, including the effects of brain lesions, drug administration, and the combination of both. The model also explains the absence of latent inhibition in acute schizophrenia and its reinstatement by the administration of psychotropic drugs.
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