STEPHEN GROSSBERG
Wang Professor of Cognitive and Neural
Systems
Professor of Mathematics, Psychology, and
Biomedical Engineering
Director, Center for Adaptive Systems
(617) 353-7857
(617)
353-7755
http://cns.bu.edu/~steve
HIGH
SCHOOL:
First in
Class of 1957
COLLEGE:
First in
Class of 1961
A.P. Sloan
National Scholar
Phi Beta
Kappa Prize
NSF
Undergraduate Research Fellow
GRADUATE WORK:
NSF Graduate
Fellowship
Woodrow
Wilson Graduate Fellowship
POST-GRADUATE ACTIVITIES:
1. Assistant Professor of Applied
Mathematics, M.I.T., 1967-1969.
2. Senior Visiting Fellow of the Science
Research Council of
3. Norbert Wiener Medal for Cybernetics,
1969.
4. A.P. Sloan Research Fellow, 1969-1971.
5. Associate Professor of Applied
Mathematics, M.I.T., 1969-1975.
6. Professor of Mathematics, Psychology, and
Biomedical Engineering,
7. Invited lectures in
8. Editor of the journals Adaptive
Behavior; Applied Intelligence; Behavioral and Brain Sciences
(Associate Editor for Computational
Neuroscience); Behavioural Processes; Brains, Minds, and Media; Cognition and Brain Theory; Cognitive
Brain Research; Cognitive Computation,
Cognitive Neurodynamics; Cognitive
Processing; Cognitive Science; Current
Opinions in Cognitive Neurodynamics; IEEE Expert; IEEE Transactions
on Neural Networks; Information Sciences; International Journal
of Cognitive Science; International Journal
of Humanoid Robotics; International Journal
of Hybrid Intelligent Systems; International Journal of Neural Systems; International Journal of Uncertainty,
Fuzziness, and Knowledge-Based Systems; Journal of Cognitive
Neuroscience; Journal of Experimental
Neuroscience, Journal of Mathematical Psychology; Journal of
Theoretical Neurobiology; Mathematical Biosciences; Mind and
Society; Neural Computation; Nonlinear Analysis.
9. Editorial board member of the book series
Advanced Information and Knowledge Processing, Springer-Verlag; Mathematical
Modeling: Theory and Applications, Kluwer.
10.
Founding
editor-in-chief of the journal Neural Networks.
11.
Founder
and First President of the International Neural Network Society and member of
founding governing board of the Society.
12.
Founder
and Director, Center for Adaptive Systems,
13.
Principal
Investigator,
14.
Wang
Professor of Cognitive and Neural Systems,
15.
Founder
and Chairman, Department of Cognitive and Neural Systems, Boston University,
1991-2007.
16.
IEEE
Neural Networks Pioneer Award, 1991.
17.
18.
INNS
Leadership Award, 1992.
19.
Fellow,
American Psychological Association (APA), 1994.
20.
Principal
Investigator, Center for Automated Vision and Sensing Systems (Congressional
21.
Fellow,
Society of Experimental Psychologists (SEP), 1996.
22.
Information
Sciences Award, Association for Intelligent Machinery, 2000.
23.
Principal
Investigator, Center for Intelligent Biomimetic Image Processing and
Classification (Congressional
24.
Charles
River Laboratories prize, Society for Behavioral Toxicology, 2002.
25.
Fellow,
American Psychological Society (APS), 2002.
26.
Membership
in Acoustical Society of America, American Association for the Advancement of
Science, American Mathematical Society, American Psychological Association, American
Society for Engineering Education, Association for Behavior Analysis, Association
for Psychological Science, Association for Research in Vision and
Ophthalmology, Association for the Advancement of Artificial Intelligence, Cognitive
Neuroscience Society, Cognitive Science Society, European Neural Network
Society, International Neural Network Society, Memory Disorders Research
Society, New York Academy of Sciences, Optical Society of America, Organization
for Computational Neuroscience, Psychonomic Society, Schizophrenia
International Research Society, Sigma Xi, Society for Artificial Neural
Networks in Medicine and Biology, Society for Computational Modeling of
Associative Learning, Society for Industrial and Applied Mathematics, Society
for Mathematical Biology, Society for Mathematical Psychology, Society for
Neuroscience, SPIE, Vision Sciences Society.
27. INNS Helmholtz Award, 2003.
28. Principal Investigator
and Founding Director, CELEST:
29. IEEE Fellow, 2005.
30. American Educational
Research Association (AERA) Inaugural Fellow, 2008.
31. Advisory Board member
for the new Springer journal Cognitive
Computation, 2009.
PATENTS
1. Carpenter, G.A. and Grossberg, S., U.S. Patent #5,142,590:
Pattern recognition system. Filed:
2. Carpenter, G.A. and Grossberg, S., U.S. Patent #4,914,708 and
#5,133,021: System for self- organization of stable category recognition codes
for analog patterns. Filed:
3. Carpenter, G.A. and Grossberg, S., U.S. Patent #5,311,601:
Pattern recognition system with variable selection weights. Filed:
4. Carpenter, G.A., Grossberg, S., and Reynolds,
5. Carpenter, G.A., Grossberg, S., and Rosen,
6. Grossberg, S. and Cohen,
7. Grossberg, S. and Mingolla, E., U.S. Patent #4,803,736: Neural
networks for machine vision. Filed:
LIST OF PUBLICATIONS
BOOKS
1. Editor, Mathematical psychology and
psychophysiology.
2. Studies of mind and brain: Neural
principles of learning, perception, development, cognition, and motor control.
3. Neural dynamics of adaptive sensory-motor
control: Ballistic eye movements (with M. Kuperstein).
4. The adaptive brain, I: Cognition,
learning, reinforcement, and rhythm.
5. The adaptive brain, II: Vision, speech, language, and motor
control.
6. Neural networks (with G.A. Carpenter).
Optical Society of
7. Neural networks and natural intelligence.
8. Neural dynamics of adaptive sensory-motor
control: Expanded edition
(with M. Kuperstein).
9. Neural network models of conditioning and
action (with M.
Commons and J. Staddon).
10.
Pattern
recognition by self-organizing neural networks (with G.A. Carpenter).
11.
Neural
networks for vision and image processing (with G.A. Carpenter).
12.
Models
of neurodynamics and behavior (with J.G. Taylor).
13.
Neural
networks for automatic target recognition (with H. Hawkins and A. Waxman).
14.
Neural
control and robotics: Biology and technology (with R. Brooks and L. Optican).
15.
Spiking
neurons in neuroscience and technology (with
16.
Vision
and brain (with D. Field and L. Finkel).
17.
Social cognition: From babies to robots (with A. Meltzoff, J. Movellan, and
ARTICLES
1. Nonlinear difference-differential
equations in prediction and learning theory. Proceedings of the
2. A prediction theory for some nonlinear
functional-differential equations, I: Learning of lists. Journal of Mathematical
Analysis and Applications, 1968, 21, 643-694.
3. A prediction theory for some nonlinear
functional-differential equations, II: Learning of patterns. Journal of
Mathematical Analysis and Applications, 1968, 22, 490-522.
4. Global ratio limit theorems for some
nonlinear functional differential equations,
5. Global ratio limit theorems for some
nonlinear functional differential equations, II. Bulletin of the American
Mathematical Society, 1968, 74, 101-105.
6. Some nonlinear networks capable of
learning a spatial pattern of arbitrary complexity. Proceedings of the
7. Some physiological and biochemical
consequences of psychological postulates. Proceedings of the
8. On the global limits and oscillations of a
system of nonlinear differential equations describing a flow of a probabilistic
network. Journal of Differential Equations, 1969, 5, 531-563.
9. On variational systems of some nonlinear
difference-differential equations. Journal of Differential Equations,
1969, 6, 544-577.
10.
Embedding
fields: A theory of learning with physiological implications. Journal of
Mathematical Psychology, 1969, 6, 209-239.
11.
On learning,
information, lateral inhibition, and transmitters. Mathematical Biosciences,
1969, 4, 255-310.
12.
On
the production and release of chemical transmitters and related topics in
cellular control. Journal of Theoretical Biology, 1969, 22,
325-364.
13.
On the
serial learning of lists. Mathematical Biosciences, 1969, 4,
201-253.
14.
Some
networks that can learn, remember, and reproduce any number of complicated
space-time patterns,
15.
On
learning of spatiotemporal patterns by networks with ordered sensory and motor
components, I: Excitatory components of the cerebellum. Studies in Applied Mathematics, 1969, 48,
105-132.
16.
On
learning and energy-entropy dependence in recurrent and nonrecurrent signed
networks. Journal of Statistical Physics, 1969, 1, 319-350.
17.
A
global prediction (or learning) theory for some nonlinear
functional-differential equations. In J.A. Nohel (Ed.), Studies in applied
mathematics, advances in differential and integral equations, Vol. 5.
18.
Learning
and energy-entropy dependence in some nonlinear functional-differential
systems. Bulletin of the American Mathematical Society, 1969, 75,
1238-1242.
19.
Some
networks that can learn, remember, and reproduce any number of complicated
space-time patterns, II. Studies in Applied Mathematics, 1970, 49,
135-166.
20.
Neural
pattern discrimination. Journal of Theoretical Biology, 1970, 27,
291-337.
21.
Schizophrenia:
Possible dependence of associational span, bowing, and primacy vs. recency on
spiking threshold (with J. Pepe). Behavioral Science, 1970, 15,
359-362.
22.
Embedding
fields: Underlying philosophy, mathematics, and applications to psychology,
physiology, and anatomy. Journal of Cybernetics, 1971, 1, 28-50.
23.
Spiking
threshold and overarousal effects in serial learning (with J. Pepe). Journal
of Statistical Physics, 1971, 3, 95-125.
24.
Functional-differential
systems and pattern learning. In D. Chillingsworth (Ed.), Lecture notes in
mathematics, Vol. 206.
25.
On
the dynamics of operant conditioning. Journal of Theoretical Biology,
1971, 33, 225-255.
26.
Pavlovian
pattern learning by nonlinear neural networks. Proceedings of the
27.
Neural
expectation: Cerebellar and retinal analogs of cells fired by learnable or
unlearned pattern classes. Kybernetik, 1972, 10, 49-57.
28.
A
neural theory of punishment and avoidance, I: Qualitative theory. Mathematical
Biosciences, 1972, 15, 39-67.
29.
A
neural theory of punishment and avoidance, II: Quantitative theory. Mathematical
Biosciences, 1972, 15, 253-285.
30.
Pattern
learning by functional-differential neural networks with arbitrary path
weights. In K. Schmitt (Ed.), Delay and functional-differential equations and
their applications.
31.
Contour
enhancement, short-term memory, and constancies in reverberating neural
networks. Studies in Applied Mathematics, 1973, 52, 217-257.
32.
Classical
and instrumental learning by neural networks. In R. Rosen and F. Snell (Eds.), Progress
in theoretical biology.
33.
A
neural model of attention, reinforcement, and discrimination learning. International
Review of Neurobiology, 1975, 18, 263-327.
34.
Some
developmental and attentional biases in the contrast enhancement and short-term
memory of recurrent neural networks (with D. Levine). Journal of Theoretical
Biology, 1975, 53, 341-380.
35.
Pattern
formation, contrast control, and oscillations in the short-term memory of
shunting on-center off-surround networks (with S.A. Ellias). Biological
Cybernetics, 1975, 20, 69-98.
36.
On
the development of feature detectors in the visual cortex with applications to
learning and reaction-diffusion systems. Biological Cybernetics, 1976, 21,
145-159.
37.
On
visual illusions in neural networks: Line neutralization, tilt aftereffect, and
angle expansion (with D. Levine). Journal of Theoretical Biology, 1976, 61,
477-504.
38.
Adaptive
pattern classification and universal recoding, I: Parallel development and
coding of neural feature detectors. Biological Cybernetics, 1976, 23,
121-134.
39.
Adaptive
pattern classification and universal recoding, II: Feedback, expectation,
olfaction, and illusions. Biological Cybernetics, 1976, 23,
187-202.
40.
Redundant
information in auditory and visual modalities: Inferring decision-related
processes from the P300 component (with
41.
Pattern
formation by the global limits of a nonlinear competitive interaction in n
dimensions. Journal of Mathematical Biology, 1977, 4, 237-256.
42.
A
theory of human memory: Self-organization and performance of sensory-motor
codes, maps, and plans. In R. Rosen and F. Snell (Eds.), Progress in
theoretical biology, Volume 5.
43.
Communication,
memory, and development. In R. Rosen and F. Snell (Eds.), Progress in
theoretical biology, Volume 5.
44.
A
theory of visual coding, memory, and development. In E. Leeuwenberg and H.
Buffart (Eds.), Formal theories of visual perception.
45.
Behavioral
contrast in short-term memory: Serial binary memory models or parallel
continuous memory models? Journal of Mathematical Psychology, 1978, 3,
199-219.
46.
Competition,
decision, and consensus. Journal of Mathematical Analysis and Applications,
1978, 66, 470-493.
47.
Do
all neural models really look alike? Psychological Review, 1978, 85,
592-596.
48.
Decisions,
patterns, and oscillations in nonlinear competitive systems with applications
to Volterra-Lotka systems. Journal of Theoretical Biology, 1978, 73,
101-130.
49.
Adaptive
pattern classification and universal recoding: Parallel development and coding
of neural feature detectors. In R. Trappl (Ed.), Third European conference
on cybernetics and systems research.
50.
How
does a brain build a cognitive code? Psychological Review, 1980, 87,
1-51.
51.
Biological
competition: Decision rules, pattern formation, and oscillations. Proceedings
of the
52.
Intracellular
mechanisms of adaptation and self-regulation in self-organizing networks: The
role of chemical transducers. Bulletin of Mathematical Biology, 1980, 42,
365-396.
53.
Human
and computer rules and representations are not equivalent. Behavioral and
Brain Sciences, 1980, 3, 136-138.
54.
Direct
perception or adaptive resonance? Behavioral and Brain Sciences, 1980, 3,
385.
55.
Adaptive
resonance in development, perception, and cognition. In
56.
Psychophysiological
substrates of schedule interactions and behavioral contrast. In
57.
Adaptation
and transmitter gating in vertebrate photoreceptors (with G.A. Carpenter). Journal
of Theoretical Neurobiology, 1981, 1, 1-42.
58.
Processing
of expected and unexpected events during conditioning and attention: A
psychophysiological theory. Psychological Review, 1982, 89,
529-572.
59.
Associative
and competitive principles of learning and development: The temporal unfolding
and stability of STM and LTM patterns. In S.I. Amari and M. Arbib (Eds.), Competition
and cooperation in neural networks.
60.
Why
do cells compete? Some examples from visual perception. The UMAP Journal,
1982, 3, 103-121.
61.
A
psychophysiological theory of reinforcement, drive, motivation, and attention. Journal
of Theoretical Neurobiology, 1982, 1, 286-369.
62.
The
quantized geometry of visual space: The coherent computation of depth, form,
and lightness. Behavioral and Brain Sciences, 1983, 6, 625-657.
63.
Reply
to commentators on “The quantized geometry of visual space: The coherent
computation of depth, form, and lightness”. Behavioral and Brain Sciences,
1983, 6, 676-692.
64.
Absolute
stability of global pattern formation and parallel memory storage by
competitive neural networks (with M.A. Cohen). Transactions IEEE, 1983, SMC-13,
815-826.
65.
Dynamic
models of neural systems: Propagated signals, photoreceptor transduction, and
circadian rhythms (with G.A. Carpenter). In J.P.E. Hodgson (Ed.), Oscillations
in mathematical biology.
66.
A
neural theory of circadian rhythms: The gated pacemaker (with G.A. Carpenter). Biological
Cybernetics, 1983, 48, 35-59.
67.
Neural
substrates of binocular form perception: Filtering, matching, diffusion, and
resonance. In
68.
Adaptation
and gain normalization: A comment on Ullman and Schechtman (1982). Proceedings
of the Royal Society of
69.
Some
global properties of binocular resonances: Disparity matching, filling-in, and
figure-ground synthesis (with M.A. Cohen). In P. Dodwell and T. Caelli (Eds.), Figural
synthesis.
70.
Some
normal and abnormal behavioral syndromes due to transmitter gating of opponent
processes. Biological Psychiatry, 1984, 19, 1075-1118.
71.
Some
psychophysiological and pharmacological correlates of a developmental,
cognitive, and motivational theory. In R. Karrer, J. Cohen, and P. Tueting
(Eds.), Brain and information: Event related potentials.
72.
A
neural theory of circadian rhythms: Aschoff's rule in diurnal and nocturnal
mammals (with G.A. Carpenter). American Journal of Physiology (Regulatory,
Integrative, and Comparative Physiology), 1984, 247, R1067-R1082.
73.
Outline
of a theory of brightness, color, and form perception. In E. Degreef and J. van
Buggenhaut (Eds.), Trends in mathematical psychology.
74.
Absolute
stability of pattern processing and parallel memory storage by competitive
neural networks (with M.A. Cohen). In Proceedings of the 1984 IEEE
international conference on systems, man, and cybernetics, 1984.
75.
The
microscopic analysis of behavior: Towards a synthesis of instrumental,
perceptual, and cognitive ideas. Behavioral and Brain Sciences, 1984, 7,
594-595.
76.
Unitization,
automaticity, temporal order, and word recognition. Cognition and Brain
Theory, 1984, 7, 263-283.
77.
Neural
dynamics of brightness perception: Features, boundaries, diffusion, and
resonance (with M.A. Cohen). Perception and Psychophysics, 1984, 36,
428-456.
78.
Neuroethology
and theoretical neurobiology. Behavioral and Brain Sciences, 1984, 7,
388-390.
79.
The
role of learning in sensory-motor control. Behavioral and Brain Sciences,
1985, 8, 155-157.
80.
Neural
dynamics of form perception: Boundary completion, illusory figures, and neon
color spreading (with
81.
A
neural theory of circadian rhythms: Split rhythms, after-effects, and
motivational interactions (with G.A. Carpenter). Journal of Theoretical
Biology, 1985, 113, 163-223.
82.
The
hypothalamic control of eating and circadian rhythms: Opponent processes and
their chemical modulators. In N. Jaeger and L. Rensing (Eds.), Temporal
order.
83.
Neural
dynamics of circadian rhythms: The mammalian hypothalamic pacemaker (with G.A.
Carpenter). In J. Eisenfeld and C. DeLisi (Eds.), Mathematics and computers
in biomedical applications.
84.
Neural
dynamics of perceptual grouping: Textures, boundaries, and emergent
segmentations (with
85.
Category
learning and adaptive pattern recognition: A neural network model (with G.A.
Carpenter). In Proceedings of the third Army conference on applied
mathematics and computing, 1985.
86.
Nonlinear
neural dynamics of visual segmentation (with
87.
Four
frames do not suffice. Behavioral and Brain Sciences, 1985, 8,
294-295.
88.
Cognitive
self-organization and neural modularity. Behavioral and Brain Sciences,
1985, 8, 18-19.
89.
Brain
metaphors, theories, and facts. Behavioral and Brain Sciences, 1986, 9,
97-98.
90.
Statistical
mechanics of visual form perception: The resolution of uncertainty. In S.
Diner, D. Farque, and G. Lochak (Eds.), Dynamical systems: A renewal of
mechanism.
91.
Adaptive
compensation to changes in the oculomotor plant. In E. Keller and D. Zee
(Eds.), Adaptive processes in visual and oculomotor systems.
92.
The
adaptive self-organization of serial order in behavior: Speech, language, and
motor control. In E.C. Schwab and H.C. Nusbaum (Eds.), Pattern recognition
by humans and machines, Vol. 1: Speech perception.
93.
Neural
dynamics of word recognition and recall: Attentional priming, learning, and
resonance (with G.O. Stone). Psychological Review, 1986, 93,
46-74.
94.
Neural
dynamics of speech and language coding: Developmental programs, perceptual
grouping, and competition for short-term memory (with M.A. Cohen). Human
Neurobiology, 1986, 5, 1-22.
95.
Neural
dynamics of attention switching and temporal order information in short-term
memory (with G.O. Stone). Memory and Cognition, 1986, 14,
451-468.
96.
Conditioning,
expectancy, attention, and rhythm: The role of gated dipoles. In R. Campan and
R. Zayan (Eds.), Relevance of models and theories in ethology. Privat,
I.E.C.,
97.
Adaptive
resonance theory: Stable self-organization of neural recognition codes in
response to arbitrary lists of input patterns (with G.A. Carpenter). Proceedings
of the Cognitive Science Society, 1986.
98.
Absolutely
stable learning of recognition codes by a self-organizing neural network (with
G.A. Carpenter). In J.S. Denker (Ed.), Neural networks for computing,
Snowbird Conference Proceedings.
99.
Computer
simulation of neural networks for perceptual psychology (with
100.
Cooperative
self-organization of multiple neural systems during adaptive sensory-motor
control. In D.M. Guthrie (Ed.), Aims and methods in neuroethology.
101.
Neural
dynamics of attentionally modulated Pavlovian conditioning: Blocking,
inter-stimulus interval, and secondary reinforcement (with D.S. Levine). Applied
Optics, 1987, 26, 5015-5030.
102.
Associative
learning, adaptive pattern recognition, and cooperative-competitive decision
making by neural networks (with G.A. Carpenter). In H. Szu (Ed.), Optical
and hybrid computing. SPIE Proceedings, 1987.
103.
The
role of illusory figures in visual segmentation (with
104.
Discovering
order in chaos: Stable self-organization of neural recognition codes (with G.A.
Carpenter). In S.H. Koslow, A.J. Mandell, and M.F. Shlesinger (Eds.), Conference
on perspectives in biological dynamics and theoretical medicine, Annals of
the New York Academy of Sciences, 1987.
105.
Probing
cognitive processes through the structure of event-related potentials during
learning: An experimental and theoretical analysis (with J. P. Banquet). Applied
Optics, 1987, 26, 4931-4946.
106.
Cortical
dynamics of three-dimensional form, color, and brightness perception, I:
Monocular theory. Perception and Psychophysics, 1987, 41, 87-116.
107.
Cortical
dynamics of three-dimensional form, color, and brightness perception, II:
Binocular theory. Perception and Psychophysics, 1987, 41,
117-158.
108.
A
massively parallel architecture for a self-organizing neural pattern
recognition machine (with G.A. Carpenter). Computer Vision, Graphics, and
Image Processing, 1987, 37, 54-115.
109.
Neural
dynamics of surface perception: Boundary webs, illuminants, and
shape-from-shading (with
110.
Masking
fields: A massively parallel neural architecture for learning, recognizing, and
predicting multiple groupings of patterned data (with M.A. Cohen). Applied
Optics, 1987, 26, 1866-1891.
111.
Competitive
learning: From interactive activation to adaptive resonance. Cognitive
Science, 1987, 11, 23-63.
112.
Stable
self-organization of sensory recognition codes: Is chaos necessary? Behavioral
and Brain Sciences, 1987.
113.
Neural
dynamics of decision making under risk: Affective balance and
cognitive-emotional interactions (with
114.
Computing
with neural networks: The role of symmetry (with G.A. Carpenter and M.A.
Cohen). Science, 1987, 235, 1226-1227.
115.
A
neural theory of preattentive visual information processing: Emergent
segmentation, cooperative-competitive computation, and parallel memory storage
(with
116.
Neural
dynamics of attentionally-modulated Pavlovian conditioning: Conditioned
reinforcement, inhibition, and opponent processing (with N.A. Schmajuk). Psychobiology,
1987, 15, 195-240.
117.
A
neural network architecture for automatic trajectory formation and coordination
of multiple effectors during variable-speed arm movements (with D. Bullock). In
M. Caudill and C. Butler (Eds.), Proceedings of the IEEE international
conference on neural networks, 1987, IV, 559-566.
118.
ART
2: Self-organization of stable category recognition codes for analog input
patterns (with G.A. Carpenter). In M. Caudill and C. Butler (Eds.), Proceedings
of the IEEE international conference on neural networks, 1987, II,
727-736.
119.
Invariant
pattern recognition and recall by an attentive self-organizing ART architecture
in a nonstationary world (with G.A. Carpenter). In M. Caudill and C. Butler
(Eds.), Proceedings of the IEEE international conference on neural networks,
1987, II, 737-746.
120.
Masking
fields: A massively parallel architecture for learning, recognizing, and
predicting multiple groupings of patterned data (with M.A. Cohen). In M.
Caudill and C. Butler (Eds.), Proceedings of the IEEE international
conference on neural networks, 1987, II, 787-794.
121.
Recent
developments in a neural model of real-time speech analysis and synthesis (with
M.A. Cohen and D. Stork). In M. Caudill and C. Butler (Eds.), Proceedings of
the IEEE international conference on neural networks, 1987, IV,
443-454.
122.
Neural
dynamics of decision making under risk: Affective balance theory (with
123.
A
computational model of how cortical complex cells multiplex information about
position, contrast, orientation, spatial frequency, and disparity (with J.
Marshall). In M. Caudill and C. Butler (Eds.), Proceedings of the IEEE
international conference on neural networks, 1987, IV, 203-214.
124.
A
neural network architecture for preattentive vision: Multiple scale
segmentation and regularization (with
125.
A
neural network architecture for attentionally-modulated Pavlovian conditioning:
Conditioned reinforcement, inhibition, and opponent processing (with N.A.
Schmajuk). In M. Caudill and C. Butler (Eds.), Proceedings of the IEEE
international conference on neural networks, 1987, II, 795-804.
126.
A
neural network architecture for brightness perception under constant and
variable illumination conditions (with D. Todorovic). In M. Caudill and C.
Butler (Eds.), Proceedings of the IEEE international conference on neural
networks, 1987, IV, 185-192.
127.
ART
2: Stable self-organization of pattern recognition codes for analog input
patterns (with G.A. Carpenter). Applied Optics, 1987, 26,
4919-4930.
128.
Guest
editor (with G.A. Carpenter) of Applied Optics special issue on Neural
Networks, December, 1987.
129.
Neural
dynamics of category learning and recognition: Attention, memory consolidation,
and amnesia (with G.A. Carpenter). In J. Davis, W.
130.
The
ART of adaptive pattern recognition by a self-organizing neural network (with
G.A. Carpenter). Computer, 1988, 21, 77-88.
131.
Predictive
regulation of associative learning in a neural network by reinforcement and
attentive feedback (with D. Levine and N.A. Schmajuk). International Journal
of Neurology, 1988, 21/22, 83-104.
132.
Neural
dynamics of planned arm movements: Emergent invariants and speed-accuracy
properties during trajectory formation. (with D. Bullock). Psychological
Review, 1988, 95, 49-90.
133.
Neural
dynamics of 1-D and 2-D brightness perception: A unified model of classical and
recent phenomena (with D. Todorovic). Perception and Psychophysics,
1988, 43, 241-277.
134.
Nonlinear
neural networks: Principles, mechanisms, and architectures. Neural Networks, 1988, 1,
17-61.
135.
Self-organizing
neural network architectures for real-time adaptive pattern recognition (with
G.A. Carpenter). In H. Haken (Ed.), Neural and synergetic computers.
136.
Self-organizing
neural architectures for eye movements, arm movements, and eye-arm coordination
(with D. Bullock). In H. Haken (Ed.), Neural and synergetic computers.
137.
Speech
perception and production by a self-organizing neural network (with M.A. Cohen
and D.G. Stork). In Y.C. Lee (Ed.), Evolution, learning, cognition, and
advanced architectures.
138.
The
VITE model: A neural command circuit for generating arm and articulator
trajectories (with D. Bullock). In J.A.S. Kelso, A.J. Mandell, and M.F.
Shlesinger (Eds.), Dynamic patterns in complex systems.
139.
A
neural network architecture for preattentive vision (with
140.
A
model cortical architecture for the preattentive perception of 3-D form. In
E.L. Schwartz (Ed.), Computational neuroscience.
141.
Content-addressable
memory storage by neural networks: A general model and global Liapunov method.
In E.L. Schwartz (Ed.), Computational neuroscience.
142.
Stereo
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Cortical
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347.
Self-organization
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Texture
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Neural
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Figure-ground
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A neural
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374.
A
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Brain
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How
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The
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Frequency-dependent
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SOVREIGN: A self-organizing vision,
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Space,
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