Computation and neural systems:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boston, Mass. [u.a.]
Kluwer Acad. Publ.
1993
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 539 Seiten Ill., graph. Darst. |
| ISBN: | 079239349X |
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MARC
| LEADER | 00000nam a2200000 c 4500 | ||
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| 001 | BV009523823 | ||
| 003 | DE-604 | ||
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| 008 | 940411s1993 xx ad|| |||| 10||| eng d | ||
| 020 | |a 079239349X |9 0-7923-9349-X | ||
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| 084 | |a MED 606f |2 stub | ||
| 245 | 1 | 0 | |a Computation and neural systems |c edited by: Frank H. Eeckman ... |
| 264 | 1 | |a Boston, Mass. [u.a.] |b Kluwer Acad. Publ. |c 1993 | |
| 300 | |a XII, 539 Seiten |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Models, Neurological |v Congresses | |
| 650 | 4 | |a Nerve Net |v Congresses | |
| 650 | 4 | |a Neural Networks (Computer) |v Congresses | |
| 650 | 4 | |a Neural networks (Computer science) |v Congresses | |
| 650 | 4 | |a Neural networks (Neurobiology) |v Congresses | |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
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| 700 | 1 | |a Eeckman, Frank H. |4 edt | |
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Record in the Search Index
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| adam_text |
TABLE
OF
CONTENTS
Introduction
. xi
Part
I
·
Analysis and Modeling
Tools and Techniques
Section
1:
Analysis
.1
1
Self-Organising Ion Channel Densities: The Rationale for 'anti-Hebb', Anthony
J.Bell
.3
2
A Modified Hodgkin-Huxley Spiking Model With Continuous Spiking Output,
Frederic E. Theunissen, Frank H. Eeckman and John P. Miller
.9
3
The Neurone as a Nonlinear System: A Single Compartment Study, P.G. Hearne,
J. Wray,
DJ.
Sanders, E.
Agar
and
G.OÄ.
Green
.19
4
Unsupervised Hebbian Learning and the Shape of the Neuron Activation Function,
Jonathan L. Shapiro and Adam
Prügel-Bennett.25
5
A Method for Estimating the Neural Input to a Neuron Using the Ionic Current
Model, Yoshimi Kamiyama, Hiroyuki Ishii and Shiro
Usui
.31
6
A Model of a Thalamic Relay Cell Incorporating Voltage-Clamp Data on Ionic
Conductances, Diana K. Smetters
.37
7
An Entropy Measure for Revealing Deterministic Structure in Spike Train Data,
Garrett
T.
Kenyan and David
С. Тат .
43
8
A Multi-Neuronal
Vectorial
Phase-Space Analysis for Detecting Dynamical
Interactions in Firing Patterns of Biological Neural Networks, David
С. Тат .
49
9
The 'Ideal
Homunculus':
Statistical Inference from Neural Population Responses,
Peter
Földiák
.55
10
The Effect of Slow Synaptic Coupling on Populations of Spiking Neurons,
С
A.
van
Vreeswijk, L.F.
Abbott and
A. Trêves
.61
11
Neural Geometry Revealed by
Neurocomputer
Analysis of Multi-Unit
Recordings,
Andras
J
.
Pellionisz, David
L.
Tomko
and James R.
Bloedel
. 67
12
Signal Delay in Passive Dendritic Trees, Hagai AgmonSnir and Idan
Segev
.73
VI
Section
2:
Modeling
.79
13
Matching Neural Models to Experiment, William R. Foster, Julian F.R. Paton,
John J. Hopfield, Lyle H.
Ungar
and James S.
Schwaber.81
14 Neuronal
Model Predicts Responses of the
Rat Baroreflex,
James S.
Schwaber,
Julian F.R. Paton, Robert F. Rogers and Eliza B. Graves
.89
15
Simulations of Synaptic Integration in Neocortical Pyramidal Cells, Paul
С
Bush
and Terrence J. Sejnowski
.97
16
Modeling Stimulus Specific Habituation: The Role of the Primordial
Hippocampus, DeLiang Wang
. 103
17
Effects of Single Channel Kinetics upon
Transmembrane
Voltage Dynamics,
Adam F. Strassberg and Louis J. DeFelice
. 109
18
An Object-Oriented Paradigm for the Design of Realistic Neural Simulators,
David
C. Tam
and
R.
Kent
Hutson.
115
19
Neural Network Simulation in a CSP Language for Multicomputers, F.
Bini,
M.
Mastroianni, S.
Russo,
and G. Ventre
. 121
20
Designing
Networks
of Spiking Silicon Neurons and Synapses, Lloyd Watts
. 127
21
RallPacks: A Set of Benchmarks for
Neuronal
Simulators,
Upinder S. B
halla,
David
H.
Bilitch and James
M.
Bower
.,. 133
Part II
-
Sensory Systems
Section
3:
Visual Systems
. 141
22
Invariant Contrast Adaptation in the Primate Outer Plexiform Layer, Josef
Skrzypek
and George Wu
. 143
23
A Computational Model of the Limulus Eye on the Connection Machine, Daryl
R. Kipke, Erik D.
Herzog
and Robert B. Barlow Jr
. 151
24
Does Synaptic Facilitation Mediate Motion Facilitation in the Retina
Ί
Norberte
M.
Grzywacz,
Franklin R. Amthor, and Lyle J.
Borg-Graham.159
25
Fast-Most Information Extraction by Retinal Y-X Cells, Zhaoping
Li
. 165
Vil
26
An Adaptive Neural Model of Early Visual Processing, Harry G. Barrow and
Alistair J. Bray
. 171
27
A Local Model for Transparent Motions Based on
Spatio-Temporal
Filters,
James A. Smith and Norberto M.
Grzywacz
. 177
28
A Neural Model of Illusory Contour Perception, Brian Ringer and Josef
Skrzypek
. 183
29
Adaptive Receptive Fields for
Textural
Segmentation,
Edmond
Mesrobian and
Josef
Skrzypek
. 189
30
Cortical Mechanisms for Surface Segmentation, Paul Sajda and
Leif
H.
Finkel
. 195
31
Direction Selectivity Using Massive Intracortical Connections, Humbert Suarez,
Christof
Koch and Rodney Douglas
. 201
32
Correlational-Based Development of Disparity Sensitivity, Gregory S.
Berns,
Peter Dayan and Terrence J. Sejnowski
. 207
33
Dynamical Control of Visual Attention Through Feedback Pathways: A Network
Model, Janani Janakiraman and K. P. Unnikrishnan
. 215
34
The Gating Lattice: A Neural Substrate for Dynamic Gating, Eric O. Postma,
H.
Jaap
van
den Herik
and Patrick T. W. Hudson
.221
Section
4:
Auditory Systems
.227
35
Hair Cell Modelling to Explore The Physiological Basis of Tuning in the Lower
Vertebrate Ear, David
Egert
.229
36
Mechanisms of Horizontal Sound Localization at Low and High Frequency in
Avian
Nuc.
Lamináris,
W.
Edward Sullivan
.235
37
A Neuronal
Modeling System for Generating Brainstem Maps of Auditory Space,
Bruce R.
Parnas
and Edwin R. Lewis
. 241
Section
5:
Other Sensory Systems
. 247
38
Modeling Chemotaxis in the Nematode
C. elegans,
Shawn
R.
Lockery, Steven J.
Nowlan and Terrence J. Sejnowski
. 249
39
Forma] Model of the Insect Olfactory Macroglomerulus,
C. Linster, C. Masson,
M. Kerszberg, L. Personnaz, and G. Dreyfus
. 255
Vlil
40
Dynamic Activity, Learning, and Memory in a Model of the Olfactory Bulb,
Tamás Gröbler
and
Péter Érdi
. 261
41
Differential Effects of Norepinephrine on Synaptic Transmission in Layers 1A
and IB of Rat Olfactory Cortex, Michael C. Warner and James M. Bower
. . 267
42
Cholinergic Modulation of Associative Memory Function in a Realistic
Computational Model of Piriform Cortex, Ross E. Bergman, Michael Vanier, Gregory
Horwitz, James M. Bower and Michael E. Hasselmo
. 273
43
Numerical Simulations of the Electric Organ Discharge of Weakly Electric Fish,
Christopher Assad, Brian Rasnow and James M. Bower
.281
Part III
-
Motor Systems
Section
6:
Pattern Generators
. 287
44
Identification of Leech Swim Neurons Using a Resonance Technique, Richard
A. Gray and W.
Otto Friesen .289
45
The Use of Genetic Algorithms to Explore Neural Mechanisms that Optimize
Rhythmic Behaviors: Quasi-Realistic Models of Feeding Behavior in Aplysia
,
I.
Kupfermann,
D.
Deodhar, S.R. Rosen, andK.R. Weiss
.295
46
Undulatory Locomotion
-
Simulations with Realistic
Segmental
Oscillator, T.
Wadden,
S.
Grillner,
T. Matsushima, and
Anders Lansner . 301
47
Network
Model of the Respiratory Rhythm, Eliza B. Graves, William
С
Rose,
Diethelm W.
Richter,
and James S.
Schwaber. 307
48
Model of the Peristaltic Reflex, AJ). Coop and SJ. Redman
.313
Section
7:
Cortex, Cerebellum, and Spinal Cord
.321
49
Simulation of the Muscle Stretch Reflex by
a
Neuronal
Network, Bruce P.
Graham and Stephen J. Redman
. 323
50
Modeling and Simulation of Compartmental Cerebellar Networks for
Conditioning of Rabbit Ey
ebünk
Response,
P.M.
Khademi, E.K: Blum, P.K. Leung,
D.G. Lavond, RJ>. Thompson,
DJ.
Krupa
and
J.
Tracy
.331
51
Recurrent Backpropagation Models of the Vestibulo-Ocular Reflex Provide
Experimentally Testable Predictions, Thomas J.
Anastasio
.337
52
Prolonged Activation with Brief Synaptic Inputs in the Purkinje Cell: Intracellular
Recording and Compartmental Modeling, Dieter Jaeger, Erik
De Schutter,
and James
M. Bower
. 343
їх
53
Electrophysiological Dissection
of the Excitatory Inputs to Purkinje Cells, John
H. Thompson and James M. Bower
. 349
54
Integration of Synaptic Inputs in a Model of the Purkinje Cell, Erik
De Schutter
and James M. Bower
. 355
55
Unsupervised Learning of Simple Speech Production Based on Soft Competitive
Learning,
Georg
Dorfjher and Thomas
Schönauer
. 363
56
Dopaminergic Modulation and Neural Fatigue in Discrete Time Sigmoidal
Networks,
Nur
Arad,
Eytan Ruppin and Yehezkel Yeshurun
.369
Part IV
-
Cerebral Cortex
Section
8:
Development and Map Formation
.375
57
Volume Learning: Signaling Covariance Through Neural Tissue, P. R. Montague,
P. Dayan, and TJ. Sejnowski
.377
58
Hebbian Learning in Feedback Networks: Development Within Visual Cortex,
Dawei W. Dong
.383
59
The Role of Subplate Feedback in the Development of Ocular Dominance
Columns, Harmon S. Nine and KJ3. Unnikrishnan
.389
60
A Comparison of Models of Visual Cortical Map Formation, Edgar
Erwin,
Klaus
Obermayer, and Klaus
Schulten. 395
61
Field Discontinuities and Islands in a Model of Cortical Map Formation, F. Wolf,
H.-U. Bauer, and T.
Geisel.403
62
Orientation Columns from First Principles, Ernst Niebur and
Florentin
Wörgötter. 409
63
A Model of the Combined Effects of Chemical and Activity-Dependent
Mechanisms in Topographic Map Formation, Martha J.
Hiller.415
Section
9:
Associative Memory and Learning
.423
64
NMD A-Activated Conductances Provide Short-Tenn Memory for Dendritic Spine
Logic Computations, R.V. Jensen and Gordon M. Shepherd
.425
65
A Model of Cortical Associative Memory Based on Hebbian Cell Assemblies,
Erik Fransen,
Anders Lansner and Hans
Liljenström
.431
66
Self-Teaching Through Correlated Input, Virginia R.
de Sa
and Dana H.
Bailará
. 437
67
Multi-Layer Bidirectional Auto-Associators, Dimitrios Bairaktaris
. 443
68
A Neural Model for a Randomized Frequency-Spatial Transformation, Yossi
Matías
and Eytan Ruppin
.449
69
Outline of a Theory of
Isocortex, Mark
James and Doan Hoang
.455
70
A Network for Semantic and Episodic Associations Showing Disturbances Due
to Neural Loss, Michael Herrmann, Eytan Ruppin and Marius Usher
.461
71
Synaptic Deletion and Compensation in Alzheimer's Disease: A Neural Model,
David Horn, Eytan Ruppin, Marius Usher and Michael Herrmann
.467
Section
10:
Cortical Dynamics
.473
72
Effects of Input Synchrony on the Response of a Model Neuron, Venkatesh
N.
Murthy and
Eberhard
E.
Fetz. 475
73
Analysis and Simulation of Synchronization in Oscillatory Neural Networks, Xin
Wang, E.K.
Blum and P.K. Leung
. 481
74
Alternating Predictable and Unpredictable States in Data from Cat Visual Cortex,
K. Pawelzik, H.-U. Bauer, and T.
Geisel. 487
75
Temporal Structure of Spike Trains from MT Neurons in the Awake Monkey,
Wyeth Bair,
Christof
Koch, William Newsome, and Kenneth Britten
.495
76
Temporal Structure Can Solve the Binding Problem for Multiple Feature
Domains, Thomas B.
Schillen
and Peter
König. 503
77
Assembly Formation and Segregation by a Self-Organizing
Neuronal
Oscillator
Model, Peter
König, Bernd Janosch,
and Thomas B.
Schillen
.509
78
Inter-area Synchronization in Macaque Neocortex During a Visual Pattern
Discrimination Task, Steven L. Bressler and Richard Nakamura
.515
79
Acety lcholine and Cortical Oscillatory Dynamics, Hans
Liljenström
and Michael
E. Hasselmo
.523
80
Dissipative Structures and Self-Organizing Criticality in Neural Networks with
Spatially Localized Connectivity, Robert W. Kentridge
. 531
Index
.537 |
| any_adam_object | 1 |
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| callnumber-sort | QP 3363.3 |
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| classification_rvk | WW 2200 |
| classification_tum | DAT 717f MED 606f |
| ctrlnum | (OCoLC)28017957 (DE-599)BVBBV009523823 |
| dewey-full | 591.1/88 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 591 - Specific topics in natural history of animals |
| dewey-raw | 591.1/88 |
| dewey-search | 591.1/88 |
| dewey-sort | 3591.1 288 |
| dewey-tens | 590 - Animals |
| discipline | Biologie Informatik Medizin |
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| spelling | Computation and neural systems edited by: Frank H. Eeckman ... Boston, Mass. [u.a.] Kluwer Acad. Publ. 1993 XII, 539 Seiten Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Models, Neurological Congresses Nerve Net Congresses Neural Networks (Computer) Congresses Neural networks (Computer science) Congresses Neural networks (Neurobiology) Congresses Neuronales Netz (DE-588)4226127-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Neuronales Netz (DE-588)4226127-2 s DE-604 Eeckman, Frank H. edt Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006288743&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Computation and neural systems Models, Neurological Congresses Nerve Net Congresses Neural Networks (Computer) Congresses Neural networks (Computer science) Congresses Neural networks (Neurobiology) Congresses Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)1071861417 |
| title | Computation and neural systems |
| title_auth | Computation and neural systems |
| title_exact_search | Computation and neural systems |
| title_full | Computation and neural systems edited by: Frank H. Eeckman ... |
| title_fullStr | Computation and neural systems edited by: Frank H. Eeckman ... |
| title_full_unstemmed | Computation and neural systems edited by: Frank H. Eeckman ... |
| title_short | Computation and neural systems |
| title_sort | computation and neural systems |
| topic | Models, Neurological Congresses Nerve Net Congresses Neural Networks (Computer) Congresses Neural networks (Computer science) Congresses Neural networks (Neurobiology) Congresses Neuronales Netz (DE-588)4226127-2 gnd |
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