Computational neuroscience: theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)]
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam [u.a.]
Elsevier
2007
|
| Ausgabe: | 1. ed. |
| Schriftenreihe: | Progress in brain research
165 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 555 S. Ill., graph. Darst. |
| ISBN: | 0444528237 9780444528230 |
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Datensatz im Suchindex
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| adam_text | Contents
List of Contributors v
Preface ix
1. 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 CM. Colbert (Montreal, QC, Canada and Houston, TX, USA) 1
2. A simple growth model constructs critical avalanche networks
L.F. Abbott and R. Rohrkemper (New York, NY, USA and Zurich, Switzerland) .... 13
3. The dynamics of visual responses in the primary visual cortex
R. Shapley, M. Hawken and D. Xing (New York, NY, USA) 21
4. A quantitative theory of immediate visual recognition
T. Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich and T. Poggio
(Cambridge, MA, USA) 33
5. Attention in hierarchical models of object recognition
D.B. Walther and C. Koch (Urbana, IL and Pasadena, CA, USA) 57
6. Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition
S. Grossberg (Boston, MA, USA) 79
7. Real time neural coding of memory
J.Z. Tsien (Boston, MA, USA) 105
8. Beyond timing in the auditory brainstem: intensity coding in the avian
cochlear nucleus angularis
K.M. MacLeod and C.E. Carr (College Park, MD, USA) 123
9. Neural strategies for optimal processing of sensory signals
L. Maler (Ottawa, ON, Canada) 135
10. 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, USA and St. Louis, MO, USA) 155
xi
xii
11. Sensorimotor optimization in higher dimensions
D. Tweed (Toronto, ON, Canada) 181
12. 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) 193
13. Spatial organization and state dependent mechanisms for respiratory rhythm
and pattern generation
LA. Rybak, A.P.L. Abdala, S.N. Markin, J.F.R. Paton and J.C. Smith
(Philadelphia, PA, USA, Bristol, UK and Bethesda, MD, USA) 201
14. 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
and J.H. Kotaleski (Stockholm, Sweden and Pontedera (Pisa), Italy) 221
15. Modeling the mammalian locomotor CPG: insights from mistakes and perturbations
D.A. McCrea and I.A. Rybak (Winnipeg, MB, Canada and Philadelphia, PA, USA). . . 235
16. The neuromechanical tuning hypothesis
A. Prochazka and S. Yakovenko (Edmonton, AB and Montreal, QC, Canada) 255
17. 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) 267
18. Modeling sensorimotor control of human upright stance
T. Mergner (Freiburg, Germany) 283
19. Dimensional reduction in sensorimotor systems: a framework for understanding
muscle coordination of posture
L.H. Ting (Atlanta, GA, USA) 299
20. Primitives, premotor drives, and pattern generation: a combined
computational and neuroethological perspective
S. Giszter, V. Patil and C. Hart (Philadelphia, PA, USA) 323
21. A multi level approach to understanding upper limb function
I. Kurtzer and S.H. Scott (Kingston, ON, Canada) 347
22. 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, Canada,
Brisbane, Australia and Kyoto, Japan) 363
xiii
23. 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) 373
24. Towards a computational neuropsychology of action
J.W. Krakauer and R. Shadmehr (New York, NY and Baltimore, MD, USA) 383
25. Motor control in a meta network with attractor dynamics
N.I. Krouchev and J.F. Kalaska (Montreal, QC, Canada) 395
26. Computing movement geometry: a step in sensory motor transformations
D. Zipser and E. Torres (San Diego and Pasadena, CA, USA) 411
27. Dynamics systems vs. optimal control — a unifying view
S. Schaal, P. Mohajerian and A. Ijspeert (Los Angeles, CA, USA,
Kyoto, Japan and Lausanne, Switzerland) 425
28. The place of codes in nonlinear neurodynamics
W.J. Freeman (Berkeley, CA, USA) 447
29. From a representation of behavior to the concept of cognitive syntax: a theoretical framework
T. Gisiger and M. Kerszberg (Paris, France) 463
30. A parallel framework for interactive behavior
P. Cisek (Montreal, QC, Canada) 475
31. Statistical models for neural encoding, decoding, and optimal stimulus design
L. Paninski, J. Pillow and J. Lewi (New York, NY, USA, London, UK
and Atlanta, GA, USA) 493
32. Probabilistic population codes and the exponential family of distributions
J. Beck, W.J. Ma, P.E. Latham and A. Pouget (Rochester, NY, USA
and London, UK) 509
33. On the challenge of learning complex functions
Y. Bengio (Montreal, QC, Canada) 521
34. To recognize shapes, first learn to generate images
G.E. Hinton (Toronto, Canada) 535
Subject Index 549
|
| adam_txt |
Contents
List of Contributors v
Preface ix
1. 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 CM. Colbert (Montreal, QC, Canada and Houston, TX, USA) 1
2. A simple growth model constructs critical avalanche networks
L.F. Abbott and R. Rohrkemper (New York, NY, USA and Zurich, Switzerland) . 13
3. The dynamics of visual responses in the primary visual cortex
R. Shapley, M. Hawken and D. Xing (New York, NY, USA) 21
4. A quantitative theory of immediate visual recognition
T. Serre, G. Kreiman, M. Kouh, C. Cadieu, U. Knoblich and T. Poggio
(Cambridge, MA, USA) 33
5. Attention in hierarchical models of object recognition
D.B. Walther and C. Koch (Urbana, IL and Pasadena, CA, USA) 57
6. Towards a unified theory of neocortex: laminar cortical circuits for vision and cognition
S. Grossberg (Boston, MA, USA) 79
7. Real time neural coding of memory
J.Z. Tsien (Boston, MA, USA) 105
8. Beyond timing in the auditory brainstem: intensity coding in the avian
cochlear nucleus angularis
K.M. MacLeod and C.E. Carr (College Park, MD, USA) 123
9. Neural strategies for optimal processing of sensory signals
L. Maler (Ottawa, ON, Canada) 135
10. 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, USA and St. Louis, MO, USA) 155
xi
xii
11. Sensorimotor optimization in higher dimensions
D. Tweed (Toronto, ON, Canada) 181
12. 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) 193
13. Spatial organization and state dependent mechanisms for respiratory rhythm
and pattern generation
LA. Rybak, A.P.L. Abdala, S.N. Markin, J.F.R. Paton and J.C. Smith
(Philadelphia, PA, USA, Bristol, UK and Bethesda, MD, USA) 201
14. 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
and J.H. Kotaleski (Stockholm, Sweden and Pontedera (Pisa), Italy) 221
15. Modeling the mammalian locomotor CPG: insights from mistakes and perturbations
D.A. McCrea and I.A. Rybak (Winnipeg, MB, Canada and Philadelphia, PA, USA). . . 235
16. The neuromechanical tuning hypothesis
A. Prochazka and S. Yakovenko (Edmonton, AB and Montreal, QC, Canada) 255
17. 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) 267
18. Modeling sensorimotor control of human upright stance
T. Mergner (Freiburg, Germany) 283
19. Dimensional reduction in sensorimotor systems: a framework for understanding
muscle coordination of posture
L.H. Ting (Atlanta, GA, USA) 299
20. Primitives, premotor drives, and pattern generation: a combined
computational and neuroethological perspective
S. Giszter, V. Patil and C. Hart (Philadelphia, PA, USA) 323
21. A multi level approach to understanding upper limb function
I. Kurtzer and S.H. Scott (Kingston, ON, Canada) 347
22. 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, Canada,
Brisbane, Australia and Kyoto, Japan) 363
xiii
23. 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) 373
24. Towards a computational neuropsychology of action
J.W. Krakauer and R. Shadmehr (New York, NY and Baltimore, MD, USA) 383
25. Motor control in a meta network with attractor dynamics
N.I. Krouchev and J.F. Kalaska (Montreal, QC, Canada) 395
26. Computing movement geometry: a step in sensory motor transformations
D. Zipser and E. Torres (San Diego and Pasadena, CA, USA) 411
27. Dynamics systems vs. optimal control — a unifying view
S. Schaal, P. Mohajerian and A. Ijspeert (Los Angeles, CA, USA,
Kyoto, Japan and Lausanne, Switzerland) 425
28. The place of 'codes' in nonlinear neurodynamics
W.J. Freeman (Berkeley, CA, USA) 447
29. From a representation of behavior to the concept of cognitive syntax: a theoretical framework
T. Gisiger and M. Kerszberg (Paris, France) 463
30. A parallel framework for interactive behavior
P. Cisek (Montreal, QC, Canada) 475
31. Statistical models for neural encoding, decoding, and optimal stimulus design
L. Paninski, J. Pillow and J. Lewi (New York, NY, USA, London, UK
and Atlanta, GA, USA) 493
32. Probabilistic population codes and the exponential family of distributions
J. Beck, W.J. Ma, P.E. Latham and A. Pouget (Rochester, NY, USA
and London, UK) 509
33. On the challenge of learning complex functions
Y. Bengio (Montreal, QC, Canada) 521
34. To recognize shapes, first learn to generate images
G.E. Hinton (Toronto, Canada) 535
Subject Index 549 |
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| spelling | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] ed. by Paul Cisek ... 1. ed. Amsterdam [u.a.] Elsevier 2007 XIII, 555 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Progress in brain research 165 Computational neuroscience (DE-588)1071861417 Konferenzschrift gnd-content Cisek, Paul Sonstige oth Progress in brain research 165 (DE-604)BV008000363 165 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016239832&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] Progress in brain research Computational neuroscience |
| subject_GND | (DE-588)1071861417 |
| title | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] |
| title_auth | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] |
| title_exact_search | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] |
| title_exact_search_txtP | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] |
| title_full | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] ed. by Paul Cisek ... |
| title_fullStr | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] ed. by Paul Cisek ... |
| title_full_unstemmed | Computational neuroscience theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] ed. by Paul Cisek ... |
| title_short | Computational neuroscience |
| title_sort | computational neuroscience theoretical insights into brain function this book is the result of one such symposium held at the universite de montreal on may 8 9 2006 see http www grsnc umontreal ca xxviiis |
| title_sub | theoretical insights into brain function ; [this book is the result of one such symposium, held at the Université de Montréal on May 8 - 9, 2006 (see: http://www.grsnc.umontreal.ca/XXVIIIs)] |
| topic | Computational neuroscience |
| topic_facet | Computational neuroscience Konferenzschrift |
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