Computational Neuroscience : Theoretical Insights Into Brain Function / edited by Paul Cisek, Trevor Drew, John F. Kalaska.

Contributor(s): Cisek, Paul [editor.] | Drew, Trevor [editor.] | Kalaska, John F [editor.] | Groupe de recherche sur le système nerveux central [sponsoring body.] | Université de Montréal [host institution.]
Material type: TextTextSeries: Progress in brain research: v. 165.Publisher: Amsterdam ; London : Elsevier, 2007Description: 1 online resource (xiii, 555 pages) : illustrated (some color)Content type: text Media type: computer Carrier type: online resourceISBN: 9780080555027; 0080555020; 0444528237; 9780444528230; 1281055638; 9781281055637Subject(s): Computational neuroscience -- Congresses | Neurosciences informatiques -- Congrès | MEDICAL -- Neuroscience | PSYCHOLOGY -- Neuropsychology | Computational neuroscience | Cognitiewetenschap | Neurale netwerken | Computer Simulation | Models, Neurological | Nervous System Physiological Phenomena | Neural Networks, Computer | Brain functionGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Computational neuroscience.DDC classification: 612.80285 LOC classification: QP357.5 | .C66 2007ebOther classification: 44.90 Online resources: Click here to access online
Contents:
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 [and others] -- A simple growth model constructs critical avalanche networks / L.F. Abbott and R. Rohrkemper -- The dynamics of visual responses in the primary visual cortex / R. Shapley, M. Hawken and D. Xing -- A quantitative theory of immediate visual recognition / T. Serre [and others] -- Attention in hierarchical models of object recognition / D.B. Walther and C. Koch --Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition / S. Grossberg -- Real -time neural coding of memory / J.Z. Tsien -- Beyond timing in the auditory brainstem: intensity coding in the avian cochlear nucleus angularis / K.M. MacLeod and C.E. Carr -- Neural strategies for optimal processing of sensory signals / L. Maler -- 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 -- Sensorimotor optimization in higher dimensions / D. Tweed -- 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 -- Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation / I.A. Rybak [and others] -- Modeling a vertebrate motor system: pattern generation, steering and control of body orientation / S. Grillner [and others] -- Modeling the mammalian locomotor CPG: insights from mistakes and perturbations / D.A. McCrea and I.A. Rybak -- The neuromechanical tuning hypothesis / A. Prochazka and S. Yakovenko -- Threshold position control and the principle of minimal interaction in motor actions / A.G. Feldman [and others] -- Modeling sensorimotor control of human upright stance / T. Merger -- Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture / L.H. Ting -- Primitives, premotor drives, and pattern generation: a combined computational and neuroethological perspectives / S. Giszter, V. Patil and C. Hart -- A multi-level approach to understanding upper limb function / I. Kurtzer and S.H. Scott -- How is somatosensory information used to adapt to changes in the mechanical environment / T.E. Milner [and others] -- Trial-by-trial motor adaptation: a window into element neural computation / K.A. Thoroughman, M.S. Fine and J.A. Taylor -- Towards a computational neuropsychology of action / J.W. Krakauer and R. Shadmehr -- Motor control in a meta-network with attractor dynamics / N.I. Krouchev and J.F. Kalaska -- Computing movement geometry: a step in sensory-motor transformations / D. Zipser and E. Torres -- Dynamics systems vs. optimal control- unifying view / S. Schaal, P. Mohajerian and A. Ijspeert -- The place of 'codes' in nonlinear neurodynamics / W.J. Freeman -- From a representation of behavior to the concept of cognitive syntax: a theoretical framework / T. Gisiger and M. Kerszberg -- A parallel framework for interactive behavior / P. Cisek -- Statistical models for neural encoding, decoding, and optimal stimulus design / L. Paninski, J. Pillow and J. Lewi -- Probabilistic population codes and the exponential family of distributions / J. Beck [and others] -- On the challenge of learning complex functions / Y. Bengio -- To recognize shapes, first learn to generate images / G.E. Hinton.
Action note: digitized 2010 committed to preserveSummary: 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. Includes contributions by some of the most influential people in the field of computational neuroscience Demonstrates how computational approaches are being used today to interpret experimental data Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning.
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Text in English.

Proceedings of a symposium held at the Université de Montréal on May 8-9, 2006, organized by the Groupe de recherche sur le système nerveux central (GRSNC).

Includes bibliographical references and index.

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. Includes contributions by some of the most influential people in the field of computational neuroscience Demonstrates how computational approaches are being used today to interpret experimental data Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning.

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 [and others] -- A simple growth model constructs critical avalanche networks / L.F. Abbott and R. Rohrkemper -- The dynamics of visual responses in the primary visual cortex / R. Shapley, M. Hawken and D. Xing -- A quantitative theory of immediate visual recognition / T. Serre [and others] -- Attention in hierarchical models of object recognition / D.B. Walther and C. Koch --Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition / S. Grossberg -- Real -time neural coding of memory / J.Z. Tsien -- Beyond timing in the auditory brainstem: intensity coding in the avian cochlear nucleus angularis / K.M. MacLeod and C.E. Carr -- Neural strategies for optimal processing of sensory signals / L. Maler -- 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 -- Sensorimotor optimization in higher dimensions / D. Tweed -- 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 -- Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation / I.A. Rybak [and others] -- Modeling a vertebrate motor system: pattern generation, steering and control of body orientation / S. Grillner [and others] -- Modeling the mammalian locomotor CPG: insights from mistakes and perturbations / D.A. McCrea and I.A. Rybak -- The neuromechanical tuning hypothesis / A. Prochazka and S. Yakovenko -- Threshold position control and the principle of minimal interaction in motor actions / A.G. Feldman [and others] -- Modeling sensorimotor control of human upright stance / T. Merger -- Dimensional reduction in sensorimotor systems: a framework for understanding muscle coordination of posture / L.H. Ting -- Primitives, premotor drives, and pattern generation: a combined computational and neuroethological perspectives / S. Giszter, V. Patil and C. Hart -- A multi-level approach to understanding upper limb function / I. Kurtzer and S.H. Scott -- How is somatosensory information used to adapt to changes in the mechanical environment / T.E. Milner [and others] -- Trial-by-trial motor adaptation: a window into element neural computation / K.A. Thoroughman, M.S. Fine and J.A. Taylor -- Towards a computational neuropsychology of action / J.W. Krakauer and R. Shadmehr -- Motor control in a meta-network with attractor dynamics / N.I. Krouchev and J.F. Kalaska -- Computing movement geometry: a step in sensory-motor transformations / D. Zipser and E. Torres -- Dynamics systems vs. optimal control- unifying view / S. Schaal, P. Mohajerian and A. Ijspeert -- The place of 'codes' in nonlinear neurodynamics / W.J. Freeman -- From a representation of behavior to the concept of cognitive syntax: a theoretical framework / T. Gisiger and M. Kerszberg -- A parallel framework for interactive behavior / P. Cisek -- Statistical models for neural encoding, decoding, and optimal stimulus design / L. Paninski, J. Pillow and J. Lewi -- Probabilistic population codes and the exponential family of distributions / J. Beck [and others] -- On the challenge of learning complex functions / Y. Bengio -- To recognize shapes, first learn to generate images / G.E. Hinton.

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