STEPHEN GROSSBERG

 

Wang Professor of Cognitive and Neural Systems

Professor of Mathematics, Psychology, and Biomedical Engineering

Chairman, Department of Cognitive and Neural Systems

Director, Center for Adaptive Systems

Boston University

677 Beacon Street

Boston, MA 02215

(617) 353-7857

(617) 353-7755

steve@bu.edu

www.cns.bu.edu/Profiles/Grossberg

 

 

HIGH SCHOOL:

Stuyvesant High School, Manhattan

First in Class of 1957

 

COLLEGE:

Dartmouth College, B.A.

First in Class of 1961

A.P. Sloan National Scholar

Phi Beta Kappa Prize

NSF Undergraduate Research Fellow

 

GRADUATE WORK:

Stanford University, M.S., 1961-1964

NSF Graduate Fellowship

Woodrow Wilson Graduate Fellowship

 

Rockefeller University, Ph.D., 1964-1967

Rockefeller University 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 England, 1969.

 

    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, Boston University, 1975-.

 

    7.     Invited lectures in Australia, Austria, Belgium, Canada, Denmark, England, Finland, France, Germany, Greece, Israel, Italy, Japan, The Netherlands, Scotland, Singapore, Sweden, and throughout the United States.

 

    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 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, Boston University, 1981-.

 

13.     Principal Investigator, Boston Consortium for Behavioral and Neural Studies (Congressional Center of Excellence), 1986-1993.

 

14.     Wang Professor of Cognitive and Neural Systems, Boston University, 1989-.

 

15.     Founder and Chairman, Department of Cognitive and Neural Systems, Boston University, 1991-2007.

 

16.     IEEE Neural Networks Pioneer Award, 1991.

 

17.     Boston Computer Society Thinking Technology Award, 1992.

 

18.     INNS Leadership Award, 1992.

 

19.     Fellow, American Psychological Association (APA), 1994.

 

20.     Principal Investigator, Center for Automated Vision and Sensing Systems (Congressional Center of Excellence), 1995-2000.

 

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 Center of Excellence), 2001-2007.

 

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, Psychonomic Society, Schizophrenia International Research Society, Sigma Xi, Society for Artificial Neural Networks in Medicine and Biology, 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 Director, CELEST: Center of Excellence for Learning in Education, Science, and Technology (an NSF Science of Learning Center), 2004-.

 

29.     IEEE Fellow, 2005.

 

 

PATENTS

 

1. Carpenter, G.A. and Grossberg, S., U.S. Patent #5,142,590: Pattern recognition system. Filed: November 27, 1985. Issued: August 25, 1992. European Patent #0244483; Issued: July 15, 1992.

 

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: June 19, 1987. Issued: April 3, 1990 and July 21, 1992.

 

3. Carpenter, G.A. and Grossberg, S., U.S. Patent #5,311,601: Pattern recognition system with variable selection weights. Filed: January 12, 1990. Issued: May 10, 1994.

 

4. Carpenter, G.A., Grossberg, S., and Reynolds, J.H., U.S. Patent #5,214,715: Predictive self-organizing neural network. Filed: January 31, 1991. Issued: May 25, 1993.

 

5. Carpenter, G.A., Grossberg, S., and Rosen, D.B., U.S. Patent #5,157,738: Rapid category learning and recognition system. Filed: December 19, 1990. Issued: October 20, 1992.

 

6. Grossberg, S. and Cohen, M.A., U.S. Patent #5,040,214: Pattern learning and recognition apparatus in a computer system. Filed: March 8, 1989.  Issued: August 13, 1991.

 

7. Grossberg, S. and Mingolla, E., U.S. Patent #4,803,736: Neural networks for machine vision. Filed: July 23, 1987. Issued: February 7, 1989.

 

 

LIST OF PUBLICATIONS

BOOKS

 

    1.     Editor, Mathematical psychology and psychophysiology. Providence, RI: American Mathematical Society, 1981 (co-distributed by Erlbaum Associates).

 

    2.     Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control. Norwell, MA: Kluwer Academic Publishers, 1982.

 

    3.     Neural dynamics of adaptive sensory-motor control: Ballistic eye movements (with M. Kuperstein). Amsterdam: North-Holland, 1986.

 

    4.     The adaptive brain, I: Cognition, learning, reinforcement, and rhythm. Amsterdam: North-Holland, 1987.

 

    5.     The adaptive brain, II: Vision, speech, language, and motor control. Amsterdam: North-Holland, 1987.

 

    6.     Neural networks and natural intelligence. Cambridge, MA: MIT Press, 1988.

 

    7.     Neural dynamics of adaptive sensory-motor control: Expanded edition (with M. Kuperstein). Elmsford, NY: Pergamon Press, 1989.

 

    8.     Neural network models of conditioning and action (with M. Commons and J. Staddon). Hillsdale, NJ: Erlbaum, 1991.

 

    9.     Pattern recognition by self-organizing neural networks (with G.A. Carpenter). Cambridge, MA: MIT Press, 1991.

 

10.     Neural networks for vision and image processing (with G.A. Carpenter). Cambridge, MA: MIT Press, 1992.

 

11.     Models of neurodynamics and behavior (with J.G. Taylor). Tarrytown, NY: Elsevier Science Inc., 1994. Special Issue of Neural Networks.

 

12.     Neural networks for automatic target recognition (with H. Hawkins and A. Waxman). Tarrytown, NY: Elsevier Science Inc., 1995. Special Issue of Neural Networks.

 

13.     Neural control and robotics: Biology and technology (with R. Brooks and L. Optican). Oxford, UK: Elsevier Science Ltd., 1998. Special Issue of Neural Networks.

 

14.     Spiking neurons in neuroscience and technology (with W. Maass and H. Markram). Exeter, UK: Elsevier Science Ltd., 2001. Special Issue of Neural Networks.

 

15.     Vision and brain (with D. Field and L. Finkel). Exeter, UK: Elsevier Science Ltd., 2004. Special Issue of Neural Networks.

 

 

ARTICLES

 

    1.     Nonlinear difference-differential equations in prediction and learning theory. Proceedings of the National Academy of Sciences, 1967, 58, 1329-1334.

 

    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, I. Bulletin of the American Mathematical Society, 1968, 74, 93-100.

 

    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 National Academy of Sciences, 1968, 59, 368-372.

 

    7.     Some physiological and biochemical consequences of psychological postulates. Proceedings of the National Academy of Sciences, 1968, 60, 758-765.

 

    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, I. Journal of Mathematics and Mechanics, 1969, 19, 53-91.

 

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. Philadelphia: SIAM, 1969, pp.64-70.

 

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. Berlin: Springer-Verlag, 1971, pp.147-150.

 

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 National Academy of Sciences, 1971, 68, 828-831.

 

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. New York: Academic Press, 1972, pp.121-160.

 

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. New York: Academic Press, 1974, pp.217-257.

 

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 E. Donchin, K. Squires, and N. Squires). Journal of Experimental Psychology, 1977, 3, 299-315.

 

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. New York: Academic Press, 1978, pp.233-374.

 

43.     Communication, memory, and development. In R. Rosen and F. Snell (Eds.), Progress in theoretical biology, Volume 5. New York: Academic Press, 1978, pp.183-232.

 

44.     A theory of visual coding, memory, and development. In E. Leeuwenberg and H. Buffart (Eds.), Formal theories of visual perception. New York: Wiley Press, 1978.

 

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. New York: Halstead Press, 1978, pp.375-383.

 

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 National Academy of Sciences, 1980, 77, 2338-2342.

 

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.