Neural engineering :
Eliasmith, Chris.
Neural engineering : computation, representation, and dynamics in neurobiological systems / Chris Eliasmith and Charles H. Anderson. - Cambridge, Mass. : MIT Press, �2003. - 1 online resource (xii, 356 pages) : illustrations. - Computational neuroscience . - Computational neuroscience. .
"A Bradford book."
Includes bibliographical references (pages 335-350) and index.
1. Of neurons and engineers -- I. Representation -- 2. Representation in populations of neurons -- 3. Extending population representation -- 4. Temporal representation in spiking neurons -- 5. Population-temporal representation -- II. Transformation -- 6. Feed-forward transformations -- 7. Analyzing representation and transformation -- 8. Dynamic transformations -- 9. Statistical inference and learning.
Use copy
Textbook presents three principles of neural engineering based on the representation of signals by neural ensembles, transformations of these representations through neuronal coupling weights, and the integration of control theory and neural dynamics.
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2011.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
9780262272278 026227227X 0585444684 9780585444680
Neural networks (Neurobiology)
Neural networks (Computer science)
Computational neuroscience.
R�eseaux neuronaux (Neurobiologie)
R�eseaux neuronaux (Informatique)
Neurosciences informatiques.
SOCIAL SCIENCE--Anthropology--Physical.
Computational neuroscience.
Neural networks (Computer science)
Neural networks (Neurobiology)
Hirnfunktion
Computersimulation
Neurocomputer
Informationsverarbeitung
Modell
Neurobiologie
Neuronales Netz
Gehirn
Neurons--physiology.
Neural Networks (Computer)
Models, Neurological.
Computational Biology.
Electronic books.
Electronic books.
QP363.3 / .E454 2003eb
573.8/5
WL 102.5 / E42n 2003
Neural engineering : computation, representation, and dynamics in neurobiological systems / Chris Eliasmith and Charles H. Anderson. - Cambridge, Mass. : MIT Press, �2003. - 1 online resource (xii, 356 pages) : illustrations. - Computational neuroscience . - Computational neuroscience. .
"A Bradford book."
Includes bibliographical references (pages 335-350) and index.
1. Of neurons and engineers -- I. Representation -- 2. Representation in populations of neurons -- 3. Extending population representation -- 4. Temporal representation in spiking neurons -- 5. Population-temporal representation -- II. Transformation -- 6. Feed-forward transformations -- 7. Analyzing representation and transformation -- 8. Dynamic transformations -- 9. Statistical inference and learning.
Use copy
Textbook presents three principles of neural engineering based on the representation of signals by neural ensembles, transformations of these representations through neuronal coupling weights, and the integration of control theory and neural dynamics.
Electronic reproduction.
[S.l.] :
HathiTrust Digital Library,
2011.
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
http://purl.oclc.org/DLF/benchrepro0212
9780262272278 026227227X 0585444684 9780585444680
Neural networks (Neurobiology)
Neural networks (Computer science)
Computational neuroscience.
R�eseaux neuronaux (Neurobiologie)
R�eseaux neuronaux (Informatique)
Neurosciences informatiques.
SOCIAL SCIENCE--Anthropology--Physical.
Computational neuroscience.
Neural networks (Computer science)
Neural networks (Neurobiology)
Hirnfunktion
Computersimulation
Neurocomputer
Informationsverarbeitung
Modell
Neurobiologie
Neuronales Netz
Gehirn
Neurons--physiology.
Neural Networks (Computer)
Models, Neurological.
Computational Biology.
Electronic books.
Electronic books.
QP363.3 / .E454 2003eb
573.8/5
WL 102.5 / E42n 2003
