Books of Computational neuroscience

  • Pathological Brain Detection
    By Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong

    This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images.

  • Computational Neuroscience
    Computational Neuroscience
    By Eric L. Schwartz

    The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience.

  • Quantitative analysis of neuroanatomy
    Quantitative analysis of neuroanatomy
    By Hermann Cuntz, Julian M L Budd, Stephen J Eglen

    NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies. ... in Progress in Brain Research, The Self-Organizing Brain: From Growth Cones to Functional Networks, Vol.

  • Computational Vision: Information Processing in Perception and Visual Behaviour
    Computational Vision: Information Processing in Perception and Visual Behaviour
    By Hanspeter A. Mallot

    This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation.

  • Encyclopedia of Computational Neuroscience
    Encyclopedia of Computational Neuroscience
    By Ranu Jung, Dieter Jaeger

    The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation.

  • Logic, Construction, Computation
    Logic, Construction, Computation
    By Peter Schuster, Ulrich Berger, Hannes Diener

    A key figure in this exciting development is the logician and mathematician Helmut Schwichtenberg to whom this volume is dedicated on the occasion of his 70th birthday and his turning emeritus.

  • Fundamentals of Computational Neuroscience
    By Thomas P. Trappenberg

    This book describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side.

  • Computational Models of Spike-Timing Dependent Plasticity
    Computational Models of Spike-Timing Dependent Plasticity
    By Quan Zou

    This thesis work consists in a theoretical and computational study of a recently-indentified type of synaptic plasticity, called "spike-timing dependent plasticity" (STDP).