Optimality in Biological and Artificial Networks?
Herausgeber: Levine, Daniel S; Elsberry, Wesley R
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Optimality in Biological and Artificial Networks?
Herausgeber: Levine, Daniel S; Elsberry, Wesley R
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First Published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.
First Published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 524
- Erscheinungstermin: 21. Januar 2019
- Englisch
- Abmessung: 229mm x 152mm x 27mm
- Gewicht: 694g
- ISBN-13: 9781138876484
- ISBN-10: 1138876488
- Artikelnr.: 42802324
- Verlag: Taylor & Francis
- Seitenzahl: 524
- Erscheinungstermin: 21. Januar 2019
- Englisch
- Abmessung: 229mm x 152mm x 27mm
- Gewicht: 694g
- ISBN-13: 9781138876484
- ISBN-10: 1138876488
- Artikelnr.: 42802324
Daniel S. Levine, Wesley R. Elsberry
Contents: Preface. Part I: What Is the Role of Optimality?D.S. Levine
Don't Just Stand There
Optimize Something! P.J. Werbos
Optimization: A Foundation for Understanding Consciousness. S. Leven
Negotiating Inside the Brain -- and Out: The Microfoundations Project. D.G. Stork
B. Jackson
S. Walker
Nonoptimality in a Neurobiological System. W.R. Elsberry
Optimality and Strategies in Biological and Artificial Neural Networks. M.R. DeYong
T. Eskridge
Properties of Optimality in Neural Networks. Part II: Quantitative Foundations of Neural Optimality.P.S. Prueitt
Optimality and Options in the Context of Behavioral Choice. I. Parberry
Knowledge
Understanding
and Computational Complexity. R.M. Golden
Optimal Statistical Goals for Neural Networks Are Necessary
Important
and Practical. G.D. Tattersall
Rule Induction and Mapping Completion in Neural Networks. R.E. Dorsey
J.D. Johnson
Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. A. Jagota
Optimization by a Hopfield-Style Network. Part III: Optimality in Learning
Cognition
and Perception.D.C. Chance
J.Y. Cheung
S. Lykins
A.W. Lawton
An Examination of Mathematical Models of Learning in a Single Neuron. S. Bengio
Y. Bengio
J. Cloutier
J. Gescei
On the Optimization of a Synaptic Learning Rule. G.A. Carpenter
Spatial Pattern Learning
Catastrophic Forgetting
and Optimal Rules of Synaptic Transmission. H. Abdi
D. Valentin
A.J. O'Toole
A Generalized Autoassociator Model for Face Processing and Sex Categorization: From Principal Components to Multivariate Analysis. J. Bhaumik
B. Bhaumik
A Neural Network for Determining Subjective Contours. Part IV: Optimality in Decision
Communication
and Control.H. Ög(the g has an upsidedown circumflex -- a "v" to be found at the WordPerfect stage)men
R.V. Prakash
A Developmental Perspective to Neural Models of Intelligence and Learning. G-Z. Rosenstein
The Income-Choice Approach and Some Unsolved Problems of Psychopathology - A "Bridge Over Time." S. Candelaria de Ram
Communication Cognition: Interactive Nets We Weave
When We Practice to Perceive. R.T. Bradley
K.H. Pribram
Communication and Optimality in Biosocial Collectives.
Don't Just Stand There
Optimize Something! P.J. Werbos
Optimization: A Foundation for Understanding Consciousness. S. Leven
Negotiating Inside the Brain -- and Out: The Microfoundations Project. D.G. Stork
B. Jackson
S. Walker
Nonoptimality in a Neurobiological System. W.R. Elsberry
Optimality and Strategies in Biological and Artificial Neural Networks. M.R. DeYong
T. Eskridge
Properties of Optimality in Neural Networks. Part II: Quantitative Foundations of Neural Optimality.P.S. Prueitt
Optimality and Options in the Context of Behavioral Choice. I. Parberry
Knowledge
Understanding
and Computational Complexity. R.M. Golden
Optimal Statistical Goals for Neural Networks Are Necessary
Important
and Practical. G.D. Tattersall
Rule Induction and Mapping Completion in Neural Networks. R.E. Dorsey
J.D. Johnson
Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. A. Jagota
Optimization by a Hopfield-Style Network. Part III: Optimality in Learning
Cognition
and Perception.D.C. Chance
J.Y. Cheung
S. Lykins
A.W. Lawton
An Examination of Mathematical Models of Learning in a Single Neuron. S. Bengio
Y. Bengio
J. Cloutier
J. Gescei
On the Optimization of a Synaptic Learning Rule. G.A. Carpenter
Spatial Pattern Learning
Catastrophic Forgetting
and Optimal Rules of Synaptic Transmission. H. Abdi
D. Valentin
A.J. O'Toole
A Generalized Autoassociator Model for Face Processing and Sex Categorization: From Principal Components to Multivariate Analysis. J. Bhaumik
B. Bhaumik
A Neural Network for Determining Subjective Contours. Part IV: Optimality in Decision
Communication
and Control.H. Ög(the g has an upsidedown circumflex -- a "v" to be found at the WordPerfect stage)men
R.V. Prakash
A Developmental Perspective to Neural Models of Intelligence and Learning. G-Z. Rosenstein
The Income-Choice Approach and Some Unsolved Problems of Psychopathology - A "Bridge Over Time." S. Candelaria de Ram
Communication Cognition: Interactive Nets We Weave
When We Practice to Perceive. R.T. Bradley
K.H. Pribram
Communication and Optimality in Biosocial Collectives.
Contents: Preface. Part I: What Is the Role of Optimality?D.S. Levine
Don't Just Stand There
Optimize Something! P.J. Werbos
Optimization: A Foundation for Understanding Consciousness. S. Leven
Negotiating Inside the Brain -- and Out: The Microfoundations Project. D.G. Stork
B. Jackson
S. Walker
Nonoptimality in a Neurobiological System. W.R. Elsberry
Optimality and Strategies in Biological and Artificial Neural Networks. M.R. DeYong
T. Eskridge
Properties of Optimality in Neural Networks. Part II: Quantitative Foundations of Neural Optimality.P.S. Prueitt
Optimality and Options in the Context of Behavioral Choice. I. Parberry
Knowledge
Understanding
and Computational Complexity. R.M. Golden
Optimal Statistical Goals for Neural Networks Are Necessary
Important
and Practical. G.D. Tattersall
Rule Induction and Mapping Completion in Neural Networks. R.E. Dorsey
J.D. Johnson
Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. A. Jagota
Optimization by a Hopfield-Style Network. Part III: Optimality in Learning
Cognition
and Perception.D.C. Chance
J.Y. Cheung
S. Lykins
A.W. Lawton
An Examination of Mathematical Models of Learning in a Single Neuron. S. Bengio
Y. Bengio
J. Cloutier
J. Gescei
On the Optimization of a Synaptic Learning Rule. G.A. Carpenter
Spatial Pattern Learning
Catastrophic Forgetting
and Optimal Rules of Synaptic Transmission. H. Abdi
D. Valentin
A.J. O'Toole
A Generalized Autoassociator Model for Face Processing and Sex Categorization: From Principal Components to Multivariate Analysis. J. Bhaumik
B. Bhaumik
A Neural Network for Determining Subjective Contours. Part IV: Optimality in Decision
Communication
and Control.H. Ög(the g has an upsidedown circumflex -- a "v" to be found at the WordPerfect stage)men
R.V. Prakash
A Developmental Perspective to Neural Models of Intelligence and Learning. G-Z. Rosenstein
The Income-Choice Approach and Some Unsolved Problems of Psychopathology - A "Bridge Over Time." S. Candelaria de Ram
Communication Cognition: Interactive Nets We Weave
When We Practice to Perceive. R.T. Bradley
K.H. Pribram
Communication and Optimality in Biosocial Collectives.
Don't Just Stand There
Optimize Something! P.J. Werbos
Optimization: A Foundation for Understanding Consciousness. S. Leven
Negotiating Inside the Brain -- and Out: The Microfoundations Project. D.G. Stork
B. Jackson
S. Walker
Nonoptimality in a Neurobiological System. W.R. Elsberry
Optimality and Strategies in Biological and Artificial Neural Networks. M.R. DeYong
T. Eskridge
Properties of Optimality in Neural Networks. Part II: Quantitative Foundations of Neural Optimality.P.S. Prueitt
Optimality and Options in the Context of Behavioral Choice. I. Parberry
Knowledge
Understanding
and Computational Complexity. R.M. Golden
Optimal Statistical Goals for Neural Networks Are Necessary
Important
and Practical. G.D. Tattersall
Rule Induction and Mapping Completion in Neural Networks. R.E. Dorsey
J.D. Johnson
Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. A. Jagota
Optimization by a Hopfield-Style Network. Part III: Optimality in Learning
Cognition
and Perception.D.C. Chance
J.Y. Cheung
S. Lykins
A.W. Lawton
An Examination of Mathematical Models of Learning in a Single Neuron. S. Bengio
Y. Bengio
J. Cloutier
J. Gescei
On the Optimization of a Synaptic Learning Rule. G.A. Carpenter
Spatial Pattern Learning
Catastrophic Forgetting
and Optimal Rules of Synaptic Transmission. H. Abdi
D. Valentin
A.J. O'Toole
A Generalized Autoassociator Model for Face Processing and Sex Categorization: From Principal Components to Multivariate Analysis. J. Bhaumik
B. Bhaumik
A Neural Network for Determining Subjective Contours. Part IV: Optimality in Decision
Communication
and Control.H. Ög(the g has an upsidedown circumflex -- a "v" to be found at the WordPerfect stage)men
R.V. Prakash
A Developmental Perspective to Neural Models of Intelligence and Learning. G-Z. Rosenstein
The Income-Choice Approach and Some Unsolved Problems of Psychopathology - A "Bridge Over Time." S. Candelaria de Ram
Communication Cognition: Interactive Nets We Weave
When We Practice to Perceive. R.T. Bradley
K.H. Pribram
Communication and Optimality in Biosocial Collectives.