Neural codes and distributed representations: foundations of neural computation
Gespeichert in:
Format: | Elektronisch E-Book |
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Sprache: | English |
Veröffentlicht: |
Cambridge, Mass.
MIT Press
©1999
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Schriftenreihe: | Computational neuroscience
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Schlagworte: | |
Online-Zugang: | FAW01 FAW02 Volltext |
Beschreibung: | "A Bradford book." Includes bibliographical references and index Introduction -- - 1 - Deciphering the Brain's Codes - Masakazu Konishi -- - 2 - A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors - Alexander V. Lukashin and Apostolos P. Georgopoulos -- - 3 - Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals - Siming Lin, Jennie Si and A.B. Schwartz -- - 4 - Theoretical Considerations for the Analysis of Population Coding in Motor Cortex - Terrence D. Sanger -- - 5 - Statistically Efficient Estimation Using Population Coding - Alexandre Pouget, Kechen Zhang, Sophie Deneve and Peter E. Latham -- - 6 - Parameter Extraction from Population Codes: A Critical Assessment - Herman P. Snippe -- - 7 - Energy Efficient Neural Codes - William B. Levy and Robert A. Baxter -- - 8 - Seeing Beyond the Nyquist Limit - Daniel L. Ruderman and William Bialek -- - 9 - A Model of Spatial Map Formation in the Hippocampus of the Rat - Kenneth I. Blum and L.F. Abbott -- - 10 - Probabilistic Interpretation of Population Codes - Richard S. Zemel, Peter Dayan and Alexandre Pouget -- - 11 - Cortical Cells Should Fire Regularly, But Do Not - William R. Softky and Christof Koch -- - 12 - Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset - Guido Bugmann, Chris Christodoulou and John G. Taylor -- - 13 - Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell - Todd W. Troyer and Kenneth D. Miller -- - 14 - Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold - Fabrizio Gabbiani and Christof Koch -- - 15 - Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey - Wyeth Bair and Christof Koch -- - 16 - Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors - M. Griniasty, M.V. Tsodyks and Daniel J. Amit -- - 17 - Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses - Dean V. Buonomano and Michael D. Mauk -- - 18 - Gamma Oscillation Model Predicts Intensity Coding by Phase Rather than Frequency - Roger D. Traub, Miles A. Whittington and John G.R. Jefferys -- - 19 - Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model - Venkatesh N. Murthy and Eberhard E. Fetz -- - 20 - NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron - Bartlett W. Mel -- - 21 - The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells - Moshe Rappe, Yosef Yarom and Idan Segev -- - Index Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations collects, by topic, the most significant papers that have appeared in the journal over the past nine years.The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems |
Beschreibung: | 1 Online-Ressource (xxiii, 345 pages) |
ISBN: | 0262511002 0585108994 9780262511001 9780585108995 |
Internformat
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245 | 1 | 0 | |a Neural codes and distributed representations |b foundations of neural computation |c edited by Laurence Abbott and Terrence J. Sejnowski |
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490 | 0 | |a Computational neuroscience | |
500 | |a "A Bradford book." | ||
500 | |a Includes bibliographical references and index | ||
500 | |a Introduction -- - 1 - Deciphering the Brain's Codes - Masakazu Konishi -- - 2 - A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors - Alexander V. Lukashin and Apostolos P. Georgopoulos -- - 3 - Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals - Siming Lin, Jennie Si and A.B. Schwartz -- - 4 - Theoretical Considerations for the Analysis of Population Coding in Motor Cortex - Terrence D. Sanger -- - 5 - Statistically Efficient Estimation Using Population Coding - Alexandre Pouget, Kechen Zhang, Sophie Deneve and Peter E. Latham -- - 6 - Parameter Extraction from Population Codes: A Critical Assessment - Herman P. Snippe -- - 7 - Energy Efficient Neural Codes - William B. Levy and Robert A. Baxter -- - 8 - Seeing Beyond the Nyquist Limit - Daniel L. Ruderman and William Bialek -- - 9 - A Model of Spatial Map Formation in the Hippocampus of the Rat | ||
500 | |a - Kenneth I. Blum and L.F. Abbott -- - 10 - Probabilistic Interpretation of Population Codes - Richard S. Zemel, Peter Dayan and Alexandre Pouget -- - 11 - Cortical Cells Should Fire Regularly, But Do Not - William R. Softky and Christof Koch -- - 12 - Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset - Guido Bugmann, Chris Christodoulou and John G. Taylor -- - 13 - Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell - Todd W. Troyer and Kenneth D. Miller -- - 14 - Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold - Fabrizio Gabbiani and Christof Koch -- - 15 - Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey - Wyeth Bair and Christof Koch -- - 16 | ||
500 | |a - Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors - M. Griniasty, M.V. Tsodyks and Daniel J. Amit -- - 17 - Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses - Dean V. Buonomano and Michael D. Mauk -- - 18 - Gamma Oscillation Model Predicts Intensity Coding by Phase Rather than Frequency - Roger D. Traub, Miles A. Whittington and John G.R. Jefferys -- - 19 - Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model - Venkatesh N. Murthy and Eberhard E. Fetz -- - 20 - NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron - Bartlett W. Mel -- - 21 - The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells - Moshe Rappe, Yosef Yarom and Idan Segev -- - Index | ||
500 | |a Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations collects, by topic, the most significant papers that have appeared in the journal over the past nine years.The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems | ||
650 | 7 | |a MEDICAL / Neuroscience |2 bisacsh | |
650 | 7 | |a PSYCHOLOGY / Neuropsychology |2 bisacsh | |
650 | 7 | |a Coding theory |2 fast | |
650 | 7 | |a Neural networks (Neurobiology) |2 fast | |
650 | 4 | |a Coding theory | |
650 | 4 | |a Neural networks (Neurobiology) | |
650 | 7 | |a Neurofysiologie |2 gtt | |
650 | 7 | |a Neurale netwerken |2 gtt | |
650 | 4 | |a Medizin | |
650 | 4 | |a Neural networks (Neurobiology) | |
650 | 4 | |a Coding theory | |
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689 | 0 | |8 2\p |5 DE-604 | |
700 | 1 | |a Abbott, L. F. |e Sonstige |4 oth | |
700 | 1 | |a Sejnowski, Terrence J. |d 1947- |e Sonstige |0 (DE-588)1061879550 |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 0-262-51100-2 |
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Datensatz im Suchindex
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any_adam_object | |
author_GND | (DE-588)1061879550 |
building | Verbundindex |
bvnumber | BV043143545 |
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dewey-full | 612.8/2 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 612 - Human physiology |
dewey-raw | 612.8/2 |
dewey-search | 612.8/2 |
dewey-sort | 3612.8 12 |
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discipline | Informatik Medizin |
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record_format | marc |
series2 | Computational neuroscience |
spelling | Neural codes and distributed representations foundations of neural computation edited by Laurence Abbott and Terrence J. Sejnowski Cambridge, Mass. MIT Press ©1999 1 Online-Ressource (xxiii, 345 pages) txt rdacontent c rdamedia cr rdacarrier Computational neuroscience "A Bradford book." Includes bibliographical references and index Introduction -- - 1 - Deciphering the Brain's Codes - Masakazu Konishi -- - 2 - A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors - Alexander V. Lukashin and Apostolos P. Georgopoulos -- - 3 - Self-Organization of Firing Activities in Monkey's Motor Cortex: Trajectory Computation from Spike Signals - Siming Lin, Jennie Si and A.B. Schwartz -- - 4 - Theoretical Considerations for the Analysis of Population Coding in Motor Cortex - Terrence D. Sanger -- - 5 - Statistically Efficient Estimation Using Population Coding - Alexandre Pouget, Kechen Zhang, Sophie Deneve and Peter E. Latham -- - 6 - Parameter Extraction from Population Codes: A Critical Assessment - Herman P. Snippe -- - 7 - Energy Efficient Neural Codes - William B. Levy and Robert A. Baxter -- - 8 - Seeing Beyond the Nyquist Limit - Daniel L. Ruderman and William Bialek -- - 9 - A Model of Spatial Map Formation in the Hippocampus of the Rat - Kenneth I. Blum and L.F. Abbott -- - 10 - Probabilistic Interpretation of Population Codes - Richard S. Zemel, Peter Dayan and Alexandre Pouget -- - 11 - Cortical Cells Should Fire Regularly, But Do Not - William R. Softky and Christof Koch -- - 12 - Role of Temporal Integration and Fluctuation Detection in the Highly Irregular Firing of a Leaky Integrator Neuron Model with Partial Reset - Guido Bugmann, Chris Christodoulou and John G. Taylor -- - 13 - Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell - Todd W. Troyer and Kenneth D. Miller -- - 14 - Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold - Fabrizio Gabbiani and Christof Koch -- - 15 - Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey - Wyeth Bair and Christof Koch -- - 16 - Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors - M. Griniasty, M.V. Tsodyks and Daniel J. Amit -- - 17 - Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses - Dean V. Buonomano and Michael D. Mauk -- - 18 - Gamma Oscillation Model Predicts Intensity Coding by Phase Rather than Frequency - Roger D. Traub, Miles A. Whittington and John G.R. Jefferys -- - 19 - Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model - Venkatesh N. Murthy and Eberhard E. Fetz -- - 20 - NMDA-Based Pattern Discrimination in a Modeled Cortical Neuron - Bartlett W. Mel -- - 21 - The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells - Moshe Rappe, Yosef Yarom and Idan Segev -- - Index Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computations collects, by topic, the most significant papers that have appeared in the journal over the past nine years.The present volume focuses on neural codes and representations, topics of broad interest to neuroscientists and modelers. The topics addressed are: how neurons encode information through action potential firing patterns, how populations of neurons represent information, and how individual neurons use dendritic processing and biophysical properties of synapses to decode spike trains. The papers encompass a wide range of levels of investigation, from dendrites and neurons to networks and systems MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Coding theory fast Neural networks (Neurobiology) fast Coding theory Neural networks (Neurobiology) Neurofysiologie gtt Neurale netwerken gtt Medizin Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Codierungstheorie (DE-588)4139405-7 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Neuronales Netz (DE-588)4226127-2 s Codierungstheorie (DE-588)4139405-7 s 2\p DE-604 Abbott, L. F. Sonstige oth Sejnowski, Terrence J. 1947- Sonstige (DE-588)1061879550 oth Erscheint auch als Druck-Ausgabe, Paperback 0-262-51100-2 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=10157 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Neural codes and distributed representations foundations of neural computation MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Coding theory fast Neural networks (Neurobiology) fast Coding theory Neural networks (Neurobiology) Neurofysiologie gtt Neurale netwerken gtt Medizin Neuronales Netz (DE-588)4226127-2 gnd Codierungstheorie (DE-588)4139405-7 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4139405-7 (DE-588)4143413-4 |
title | Neural codes and distributed representations foundations of neural computation |
title_auth | Neural codes and distributed representations foundations of neural computation |
title_exact_search | Neural codes and distributed representations foundations of neural computation |
title_full | Neural codes and distributed representations foundations of neural computation edited by Laurence Abbott and Terrence J. Sejnowski |
title_fullStr | Neural codes and distributed representations foundations of neural computation edited by Laurence Abbott and Terrence J. Sejnowski |
title_full_unstemmed | Neural codes and distributed representations foundations of neural computation edited by Laurence Abbott and Terrence J. Sejnowski |
title_short | Neural codes and distributed representations |
title_sort | neural codes and distributed representations foundations of neural computation |
title_sub | foundations of neural computation |
topic | MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Coding theory fast Neural networks (Neurobiology) fast Coding theory Neural networks (Neurobiology) Neurofysiologie gtt Neurale netwerken gtt Medizin Neuronales Netz (DE-588)4226127-2 gnd Codierungstheorie (DE-588)4139405-7 gnd |
topic_facet | MEDICAL / Neuroscience PSYCHOLOGY / Neuropsychology Coding theory Neural networks (Neurobiology) Neurofysiologie Neurale netwerken Medizin Neuronales Netz Codierungstheorie Aufsatzsammlung |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=10157 |
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