Computational Neuroscience: A Comprehensive Approach

Computational Neuroscience: A Comprehensive Approach provides a unified treatment of the mathematical theory of the nervous system and presents concrete examples demonstrating how computational techniques can illuminate difficult neuroscience problems. In chapters contributed by top researchers, the book introduces the basic mathematical concepts, then examines modeling at all levels, from single channel and single neuron modeling to neuronal networks and system-level modeling. The emphasis is on models with close ties to experimental observations and data, and the authors review applications of the models to systems such as olfactory bulbs, fly vision, and sensorymotor systems.

Signal Channel Activity. Calcium Signalling: Biology. Calcium Signalling: Modeling. Beyond Ion Channel. Cell Physiology. Multi-Compartment Models. From Ion Channels to Single Cell. Impact of Correlated Inputs. A Novel Mechanism for Ultrafast Neuronal Communication. Working Memory. Information Processing in Somatosensory Cortex. Learning in Time Domain. Discrimination Tasks: A Biology Approach. Discrimination Tasks: A Modeling Approach. Function Role of Inhibitory Interactions.