Biophysical Neural Networks is a compendium of brain modeling methods, techniques, and concepts presented in a self-explanatory and easy-to-understand format. In a clear exposition, this inspirational book demonstrates the biophysical and biochemical processes that underpin the functioning of single neurons in networks. It brings together in one volume a new generation of biologically realistic models for the exploration of brain function that surpass existing neural networks associated with the computer metaphor.
Biophysical Neural Networks examines the interface between theory and experiment at a multi-hierarchical level of neural organization. Each of its fifteen chapters, written by internationally renowned neuroscience experts, contains abundant references, directions for future research, and problems to stimulate further independent research.
Roman R. Poznanski, Ph.D., is a widely published neuroscientist acclaimed for his innovative approach in modeling methodology. He earned his Ph.D. in neuroscience from Australian National University and is currently engaged in research at the Advanced Research Laboratory of Hitachi, Ltd., in Japan.