Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors.…mehr
Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.
The neuronal transfer function: contributions from voltage and time-dependent mechanisms E.P. Cook A.C. Wilhelm J.A. Guest Y. Liang N.Y. Masse and C.M. Colbert (Montreal QC Canada and Houston TX USA). A simple growth model constructs critical avalanche networks L.F. Abbott and R. Rohrkemper (New York NY USA and Zurich Switzerland). The dynamics of visual responses in the primary visual cortex R. Shapley M. Hawken and D. Xing (New York NY USA). A quantitative theory of immediate visual recognition T. Serre G. Kreiman M. Kouh C. Cadieu U. Knoblich and T. Poggio (Boston MA USA). Attention in hierarchical models of object recognition D.B. Walther and C. Koch (Urbana IL and Pasadena CA USA). Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition S. Grossberg (Boston MA USA). Real-time neural coding of memory J.Z. Tsien (Boston MA USA). Beyond timing in the auditory brainstem: intensity in the avian cochlear nucleus angularis K.M. MacLeod and C.E. Carr (College Park MD USA). Neural strategies for optimal processing of sensory signals L. Maler (Ottawa ON Canada). Coordinate transformations and sensory integration in the detection of spatial orientation and self-motion: from models to experiments A.M. Green and D.E. Angelaki (Montreal QC Canada and St. Louis MO USA). Sensorimotor optimization in higher dimensions . Tweed (Toronto ON USA). How tightly tuned are network parameters? Insight from computational and experimental studies in small rhythmic motor networks E. Marder A.-E. Tobin and R. Grashow (Waltham MA USA). Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation I.A. Rybak A.P.L. Abdala S.N. Markin J.F.R. Paton and J.C. Smith (Philadelphia PA and Bethesda MD USA and Bristol UK). Modeling a vertebrate motor system - pattern generation steering and control of body orientation S. Grillner A. Kozlov P. Dario C. Stefanini A. Menciassi A. Lansner J. Hellgren Kotaleski (Stockholm Sweden and Pontedera Italy). Modeling the mammalian locomotor CPG: insights from mistakes and perturbations D.A. McCrea and I.A. Rybak (Winnipeg MB Canada and Philadelphia PA USA). The neuromechanical tuning hypothesis A. Prochazka and S. Yakovenko (Edmonton AB and Montreal QC Canada). Threshold position control and the principle of minimal interaction in motor actions A.G. Feldman V. Goussev A. Sangole and M.F. Levin (Montreal and Laval QC Canada). Modelling sensorimotor control of human upright stance T. Mergner (Freiburg Germany). Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture L.H. Ting (Atlanta GA USA). Primitives premotor drives and pattern generation: a combined computational and neuroethological perspective S. Giszter V. Patil and C. Hart (Philadelphia PA USA). A multi-level approach to understanding upper limb function I. Kurtzer and S.H. Scott (Kingston ON Canada). How is somatosensory information used to adapt to changes in the mechanical environment? T.E. Milner M.R. Hinder and D.W. Franklin (Burnaby BC Queensland Australia and Kyoto Japan). Trial-by-trial motor adaptation: a window into elemental neural computation K.A. Thoroughman M.S. Fine and J.A. Taylor (Saint Louis MO USA). Towards a computational neuropsychology of action J.W. Krakauer and R. Shadmehr (New York NY and Baltimore MD USA). Motor control in a meta-network with attractor dynamics N.I. Krouvhev and J.F. Kalaska (Montreal WC Canada). Computing movement geometry - a step in sensory-motor transformations D. Zipser and E. Torres (Pasadena CA USA). Dynamics systems versus optimal control - a unifying view S. Schaal P. Mohajerian and A. Ijspeert (Los Angeles CA USA Kyoto Japan and Lausanne Switzerland). The place of 'codes' in nonlinear neurodynamics W.J. Freeman (Berkeley CA USA). From a representation of behaviour to the concept of cognitive syntax: a theoretical framework T. Gisiger and M. Kerszberg (Paris France). A parallel framework for interactive behaviour P. Cisek (Montreal QC Canada). Statistical models for neural encoding decoding and optimal stimulus design L. Paninski J. Pillow and J. Lewi (New York NY USA and London UK). Probabilistic population codes and the exponential family of distributions J. Beck W. Ma P.E. Latham and A. Pouget (Rochester NY USA and London UK). On the challenge of learning complex functions Y. Bengio (Montreal QC Canada). To recognize shapes first learn to generate images G.E. Hinton (Toronto Canada).
The neuronal transfer function: contributions from voltage and time-dependent mechanisms E.P. Cook A.C. Wilhelm J.A. Guest Y. Liang N.Y. Masse and C.M. Colbert (Montreal QC Canada and Houston TX USA). A simple growth model constructs critical avalanche networks L.F. Abbott and R. Rohrkemper (New York NY USA and Zurich Switzerland). The dynamics of visual responses in the primary visual cortex R. Shapley M. Hawken and D. Xing (New York NY USA). A quantitative theory of immediate visual recognition T. Serre G. Kreiman M. Kouh C. Cadieu U. Knoblich and T. Poggio (Boston MA USA). Attention in hierarchical models of object recognition D.B. Walther and C. Koch (Urbana IL and Pasadena CA USA). Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition S. Grossberg (Boston MA USA). Real-time neural coding of memory J.Z. Tsien (Boston MA USA). Beyond timing in the auditory brainstem: intensity in the avian cochlear nucleus angularis K.M. MacLeod and C.E. Carr (College Park MD USA). Neural strategies for optimal processing of sensory signals L. Maler (Ottawa ON Canada). Coordinate transformations and sensory integration in the detection of spatial orientation and self-motion: from models to experiments A.M. Green and D.E. Angelaki (Montreal QC Canada and St. Louis MO USA). Sensorimotor optimization in higher dimensions . Tweed (Toronto ON USA). How tightly tuned are network parameters? Insight from computational and experimental studies in small rhythmic motor networks E. Marder A.-E. Tobin and R. Grashow (Waltham MA USA). Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation I.A. Rybak A.P.L. Abdala S.N. Markin J.F.R. Paton and J.C. Smith (Philadelphia PA and Bethesda MD USA and Bristol UK). Modeling a vertebrate motor system - pattern generation steering and control of body orientation S. Grillner A. Kozlov P. Dario C. Stefanini A. Menciassi A. Lansner J. Hellgren Kotaleski (Stockholm Sweden and Pontedera Italy). Modeling the mammalian locomotor CPG: insights from mistakes and perturbations D.A. McCrea and I.A. Rybak (Winnipeg MB Canada and Philadelphia PA USA). The neuromechanical tuning hypothesis A. Prochazka and S. Yakovenko (Edmonton AB and Montreal QC Canada). Threshold position control and the principle of minimal interaction in motor actions A.G. Feldman V. Goussev A. Sangole and M.F. Levin (Montreal and Laval QC Canada). Modelling sensorimotor control of human upright stance T. Mergner (Freiburg Germany). Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture L.H. Ting (Atlanta GA USA). Primitives premotor drives and pattern generation: a combined computational and neuroethological perspective S. Giszter V. Patil and C. Hart (Philadelphia PA USA). A multi-level approach to understanding upper limb function I. Kurtzer and S.H. Scott (Kingston ON Canada). How is somatosensory information used to adapt to changes in the mechanical environment? T.E. Milner M.R. Hinder and D.W. Franklin (Burnaby BC Queensland Australia and Kyoto Japan). Trial-by-trial motor adaptation: a window into elemental neural computation K.A. Thoroughman M.S. Fine and J.A. Taylor (Saint Louis MO USA). Towards a computational neuropsychology of action J.W. Krakauer and R. Shadmehr (New York NY and Baltimore MD USA). Motor control in a meta-network with attractor dynamics N.I. Krouvhev and J.F. Kalaska (Montreal WC Canada). Computing movement geometry - a step in sensory-motor transformations D. Zipser and E. Torres (Pasadena CA USA). Dynamics systems versus optimal control - a unifying view S. Schaal P. Mohajerian and A. Ijspeert (Los Angeles CA USA Kyoto Japan and Lausanne Switzerland). The place of 'codes' in nonlinear neurodynamics W.J. Freeman (Berkeley CA USA). From a representation of behaviour to the concept of cognitive syntax: a theoretical framework T. Gisiger and M. Kerszberg (Paris France). A parallel framework for interactive behaviour P. Cisek (Montreal QC Canada). Statistical models for neural encoding decoding and optimal stimulus design L. Paninski J. Pillow and J. Lewi (New York NY USA and London UK). Probabilistic population codes and the exponential family of distributions J. Beck W. Ma P.E. Latham and A. Pouget (Rochester NY USA and London UK). On the challenge of learning complex functions Y. Bengio (Montreal QC Canada). To recognize shapes first learn to generate images G.E. Hinton (Toronto Canada).
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