Course
Information
WebCT
(Forums, Calendar, etc.)
Essay: Computation in Nervous Systems G. Werner
General resources for indpendent study or selected assignments:
M.A. Arbib et al: The Handbook of Brain Theory and Neural
Networks
(Reserve in Life Sci)
M. Arbib, P Erdi &J. Szentagothai: Structure, Function and
Dynamics:
an integrated approach to Neural Organization,
(1997)
(Reserve in Life Sci)
Theoretical
Neuroscience
: Abbot & Dayan
Neuro
science Glossary
An Online
course in dynamics: Sprott
Nonlinear Dynamics FAQ
What
is Connectionism: Berkeley
A Brief History of Connectionism: Medler (Good info; broken diagrams
& equations)
A primer on
Information
Theory
An
Online Course in Information Theory
Algorithmic
Information
Theory: Szabo
Section I: Fundamental Concepts in Neuroscience, Computation, and Dynamics. Timelines in Neuroscience, Neural Computation, Psychology
Aug 31 Course Overview; History; Space and
Time Scales in the Brain
Slides (.pdf) Scale
Issues in Brain Science Roots
of the Digital Brain
Readings Group 1
P.A. Getting: Emerging principles governing the
operations of neural networks, Ann. Rev. Neurosci. 12:185-204, 1989
Knudsen et al. Computational Maps in the
Brain,
Ann. Rev. of Neurosci., 10:41-65, 1987
Serra, R. and Zanarini, G. Complex Systems
and Cognitive Processes Ch. 2
Sept 5 Fundamentals of Neuroscience Review with
Pictures
Slides (.pdf) Intro
Neuroscience This is a list of the contents of Dr.
Werner's slides, not the actual slides. We may scan selected
slides.
Sept 7 Computational Maps; Neural Networks
Intro
Discussion of Knudsen et. al.
Sept 9 Neural Networks and Rate Coding; Attractors; Entropy
Slides Neural
Networks Overview Entropy:
Classical Information Theory
Sept 12 Mapping in the Brain
Discussion of Knudsen
Sept 14 Biological Complexity: Principles governing
biological
neural networks
Discussion of Getting; some ideas of
emergent
function
Sept 19 Contrasting dynamical and symbolic approaches to
cognition;
Neural Code
Serra and Zanarini continued; begin Abott Sejnowski
Readings Group 2
Abbott, L. and Sejnowski, T.J. Introduction: Neural Codes
and Distributed Representations, MIT Press 1999
Miller, K.D. Models of activity dependent neural development, in van
Pelt, J., Corner, M.A. Uylings, H.B.M, lopes da Silva F.H. (eds.)
Progress in Brain Research v. 102, Elsevier
Science, 1994
Nicolis G. Physics of far-from-equilibrium systems and self
organization.
in Davies, P. The New Physics, 1988
van Gelder, T. and Port, R. It's About Time: An overview of the
dynamical approach to cognition Introduction to Mind as Motion,
Cambridge: MIT Press 1995
Clark A. The Dynamical Challenge Cognitive Science 21:
461-481, 1997
Rueger, A. and Sharp, W. D. Simple Theories of a Messy
World: Truth and Explanatory Power in Nonlinear Dynamics,
Brit.
J. Phil. Sci. 47, 93-112, 1996
Sept 21 Neural Code; Relevance of Shannon Information Theory
concepts
Abbot & Sejnowski;
Sept 26 Development of neural maps; Nonequilibrium
Systems
Miller; begin Nicolis
Sept 28 Nonlinear Dynamics and Pattern Formation
Finish Nicolis: Pattern Formation
Demos
Oct 3 Dynamical Psychology
Clark , Van Gelder and Port
Oct 5
Slides (.pdf) Psychology
Timeline Related
Links
Oct 10 Dynamical Psychology and some philosophical
issues
Van Gelder and Port, Rueger, and
Sharp
Readings Group 3
Aertsen, A. Erb, M. Palm, G. Dynamics of functional coupling in the
cerebral cortex: an attempt at model based interpretation
Phsica D 75: 103-128
Freeman, W. J. .Qualitative overview of population
neurodynamics.
in Neural Networks and Neural Modeling.
F. Ventriglia. New York, Pergamon: 185-216,
1994
Skarda C., Freeman, W. J. How brains make chaos in order to
make
sense of the world, Behavioral
and Brain Sciences 10, pp. 161-195, 1987
Miyashita, Y. and Chang, H. S. Neuronal correlate of
pictorial
short-term memory in the primate temporal cortex,
Nature 331, 68-70, 1988
Miyashita, Y. Neuronal correlate of visual associative
long-term
memory in the primate cortex, Nature 335, 817-920, 1988
Sakai, K. and Miyashita, Y. Neural Organization for the
long-term
memory of paired associates,. Nature 354, 152-155, 1991
Griniasty, M., Tsodyks, M.V., and Amit, D. J. Conversion fo
Temporal
Correlations Between Stimuli to Spatial Correlations Between
Attractors,
Neural Computation 5, 1-17, 1993
Fuji, H., J. Ito, et al. Dynamical Cell Assembly
Hypothesis:
Theoretical Possibility of Spatio-temporal Coding in the Cortex.
Neural Networks 9: 1303-1350, 1996
Gochin, P. M., M. Colombo, et al. Neural ensemble coding in
inferior
temporal cortex. Journal of Neurophysiology 71:
2325-2337.
1994
Eckhorn, R. Cortical Processing by Fast Synchronization: High
Frequency Rhythmic and Non-rhythmic signals in the
visual cortex point in general principles of
spatiotemporal
coding, in Time and Brain, Miller R. Lausanne, Gordon
and Breach,
169-201, 2000
Lopes da Silva, F. Neural mechanisms underlying brain
waves:
from neural membranes to networks, Electroencephelography
and clinical Neurophysiology, 79, 81-93 1991
Bressler, S. L. Large-scale cortical networks and
cognition.
Brain Research Reviews 20, 288-304, 1995
Amit, D. The Hebbian paradigm reintegrated: Local
reverberations
as internal representation. Behavioral and Brain Sciences 18,
617-657, 1995
Oct 12 Single Cell Recordings in IT cortex during
priming
period and some interpretation
Miyashita 1-3 , Griniasty et. al
Oct 17 Attractor Dynamics and Hebbian
Assembly;
Need for Specific Theory Competition
Amit BBS article and Commentary
Oct 19 Population Neurodynamics and Local Field
Potential
(EEG) Observables in Olfactory System
Freeman Neurodynamics Article; Skarda and Freeman
BBS
Oct 24 Chaos in Local Field Potentials:
spatio-temporal
amplitude patterns as carrier; role of chaos in novel input detection
Skarda and Freeman commentary, Lopes
da Silva
Oct 26 Stimulus Dependent Synchronization and
Coupling:
Experimental Observations
Eckhorn, Aertsen et al. papers
Oct 31 No class: Analysis of Fuji et. al on IT
cortical dynamics Due Nov. 8
Nov 2 Signal Processing in Spike Trains,
EEG
Nov 7 Large Scale Cortical Networks
Bressler
Readings Group 4
Wright, J.J. and Liley, D.T.J. Dynamics of the brain
at global and microscopic scales: Neural networks and the EEG
Wright, J.J., Boureke, P.D., Chapman C.L.
Synchronous
oscillation in the cerebral corex and object coherence: simulation of
basic electrophysiological findings.
Kay, L. Shimoide K. Freeman, W. Comparison
of EEG time series from rat olfactory system with model composed of
nonlinear coupled oscillators
S. Campbell and D. Wang, Synchronization and Desynchronization in a
Network of Locally Coupled
(Wilson-Cowan) Oscillators, IEEE
Transactions
on Neural Networks 7 541-554. (1996)
Ito, J. Kaneko, K. Self -organized hierarchical
structure
in a plastic network of chaotic units
Neural Networks 13 , 275-281, 2000
Tsuda, I. Towards an interpretation of dynamic neural activity
in terms of chaotic dynamical systems, Behavioral and
Brain Sciences, 24:4 (target article online for
commentary)
Wolpert, D. and Ghahramani, Z. Computational Principles of
Movement
Neuroscience
Nature Neuroscience Supplement 3, 2000
http://neurosci.nature.com
Pollack, J.B. The Induction of Dynamical Recognizers, Machine
Learning 7, 227-252 (1991)
Blair, A.D. and Pollack, J.B. Analysis of Dynamical Recognizers
Lloyd, D. Terra Cognita: From functional neuroimaging to
the map of the mind
Brain and Mind 1 93-116, 2000
Uttal, W. On the limits of localization of cognitive
processes
in the brain.
http://cognet.mit.edu, 2000
Farah, M. Neuropsychological inference with an interactive
brain:
a critique of the locality assumption
Bauer, R. and Dicke, P. Fast Cortical Selection: a principle
of neuronal self-organization for perception
Goertzel, B. Delay
Vectors as Perceptual Chunks: Understanding Nonlinear Time Series
Analysis as Self-Organizing Cognition
Dynamical Psychology, 1999
Hegger, R. Kantz, H. Olbrich, E. Problems in the
Reconstruction of High-dimensional Deterministic Dynamics
from Time Series, in Kantz, H. (Ed.),
Nonlinear
analysis of physiological data. Berlin, 1998
Palus, M. Chaotic Measures and Real-World Systems: Deos the
Lyapunov
Exponent Always Measure Chaos?
in Kantz, H. (Ed.), Nonlinear analysis of
physiological data. Berlin, 1998
Nov 9 Wave Models of Neural Activity
Wright and Liley,
Wright
et al.
Nov 14 Chaotic Itinerancy and Neural
Activity
Tsuda
Nov 16 Synchronization in Coupled Oscillators for Cognitive
Systems
synchronization presentation D. DeMaris
Nov 21 Motor Control
Wolpert & Ghahramani, (J. Dunphy leads discussion
)
Nov 28 Dynamical Recognizers
Pollack , Blair and Pollack (T.
Tversky
leads discussion)
Nov 30 Imaging and Locality
Lloyd, Uttal, Farah
(J. Schumake leads discussion)
Dec 5 Delay Embedding in Cognitive Processes ?
Measurement
processes for High Dimensional Systems
&nb
sp;
Goertzel, Hegger et al,
Palus
(S. Moon leads discussion)
Dec 7 Fast Cortical Selection
Dynamics;
Pipelined Hardware Implementation of CML kernel
Bauer and Dicke (W.
Yu leads discussion) ; Young Cho presents coupled map
hardware
Additional Material
Panzeri and
Schultz
: a unified approach
to the study of
temporal, correlational and rate coding
Philosopher Tim Van Gelder' 1994 talk on the Dynamical Approach to Cognition
New Scientist 1997 article on Dynamical Neuroscience J. McCrone
Please mail for problems:
demaris@ece.utexas.edu