Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how...
This text on model systems and the neurobiology of associative learning covers topics such as: classical conditioning of spinal reflexes, forms of associative synaptic plasticity; the septo-hippocampal system and classical conditioning; and model systems and memory.
This text on model systems and the neurobiology of associative learning covers topics such as: classical conditioning of spinal reflexes, forms of ass...
This volume contains a collection of papers written by former students, postdoctoral fellows, and colleagues of Richard Thompson and represent written versions of papers presented at the Festschrift symposium. The Festschrift provided an excellent opportunity for the participants to recount their memories and experiences of working with one of the leading figures in behavioral neuroscience, and to place their current research in the context of earlier research conducted in the Thompson laboratory. As a Festschrift volume, the various chapters contain numerous and sometimes very personal...
This volume contains a collection of papers written by former students, postdoctoral fellows, and colleagues of Richard Thompson and represent written...
