Gail Carpenter

Gail Alexandra Carpenter
Alma materUniversity of Wisconsin–Madison
University of Colorado-Boulder
Known forAdaptive Resonance Theory (ART), neural network models and applications
Spouse(s)Stephen Grossberg
(m. 1979–)
AwardsIEEE Neural Networks Pioneer (2008)
Scientific career
FieldsMathematics, Neuroscience
InstitutionsBoston University, Northeastern University, MIT
ThesisTraveling wave solutions of nerve impulse equations
Academic advisorsCharles C. Conley

Gail Alexandra Carpenter is an American cognitive scientist, neuroscientist and mathematician, known for her work with Stephen Grossberg developing adaptive resonance theory, a theory of how the human brain processes information, and for her work on the Hodgkin–Huxley model of how neurons operate.[1]

She is a professor emerita of mathematics and statistics at Boston University,[2] where she was also a professor of cognitive and neural systems.[1]

Education and career

Carpenter attended the International School of Geneva[2] then went to the University of Colorado.[1] She completed her Ph.D. in mathematics in 1975 at the University of Wisconsin–Madison, with the dissertation Traveling Wave Solutions of Nerve Impulse Equations supervised by Charles C. Conley.[3]

Carpenter was a faculty member at the Massachusetts Institute of Technology and at Northeastern University before joining Boston University.[4]

Recognition

Carpenter was the first woman to receive the Institute of Electrical and Electronics Engineers (IEEE) Neural Networks Pioneer Award in 2008.[5][4] She received the International Neural Network Society (INNS) Gabor Award in 1999.[6]

She is a Fellow of the INNS,[7] and was named as an IEEE Fellow in 2013.[1]

Personal life

Carpenter married Stephen Grossberg in 1979.[8]

Selected publications

  • Carpenter, G. A. (2019). Looking to the future: Learning from experience, averting catastrophe. Neural Networks.
  • Carpenter, G. A., & Grossberg, S. (1987). A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics and Image Processing, 37(1), 54–115. https://doi.org/10.1016/S0734-189X(87)80014-2
  • Carpenter, G. A., Grossberg, S., Markuzon, N., Reynolds, J. H., & Rosen, D. B. (1992). Fuzzy ARTMAP: A Neural Network Architecture for Incremental Supervised Learning of Analog Multidimensional Maps. IEEE Transactions on Neural Networks, 3(5), 698–713. https://doi.org/10.1109/72.159059
  • Carpenter, G. A., Grossberg, S., & Reynolds, J. H. (1991). ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network. Neural Networks, 4(5), 565–588. https://doi.org/10.1016/0893-6080(91)90012-T
  • Carpenter, G. A., Grossberg, S., & Rosen, D. B. (1991). Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks, 4(6), 759–771. https://doi.org/10.1016/0893-6080(91)90056-B

References

  1. ^ a b c d Laskowski, Amy (January 29, 2013). "Gail Carpenter Named IEEE Fellow". BU Today. Boston University. Retrieved 2025-06-21.
  2. ^ a b "Les Scientifiques". Echo magazine. International School of Geneva. Summer 2022. Retrieved 2025-06-21 – via Issuu.
  3. ^ Gail Carpenter at the Mathematics Genealogy Project
  4. ^ a b Rusipini, Enrique (February 2008). "Society Briefs: 2008 CIS Awards". IEEE Computational Intelligence Magazine. p. 4.
  5. ^ "Past recipients: Neural Networks Pioneer Award". IEEE. Retrieved 2025-06-21.
  6. ^ "INNS Award Recipients". International Neural Network Society. Retrieved 2025-06-21.
  7. ^ "Fellows and senior members". International Neural Network Society. Retrieved 2025-06-21.
  8. ^ "Carpenter wed". The Jackson Hole Guide. June 21, 1979. Retrieved 2025-06-21 – via Newspapers.com.