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Stephen Grossberg

Stephen Grossberg

Award Badge
Computer Science
USA
2026

D-Index & Metrics

Neuroscience

D-Index
133
Citations
69558
World Ranking
249
National Ranking
155

Computer Science

D-Index
132
Citations
79155
World Ranking
97
National Ranking
60

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2017 - IEEE Frank Rosenblatt Award
  • 2008 - Fellow of the American Educational Research Association
  • 1994 - Fellow of the American Psychological Association (APA)
  • 1991 - Neural Networks Pioneer Award, IEEE Computational Intelligence Society
  • 1969 - Fellow of Alfred P. Sloan Foundation

Overview

Stephen Grossberg is a researcher affiliated with Boston University in the United States, whose work has primarily concentrated in the field of neuroscience. Their research intersects several specialized areas, including cognitive neuroscience, artificial intelligence, signal processing, cellular and molecular neuroscience, as well as experimental and cognitive psychology.

The scientist has contributed to the understanding of neural dynamics and brain function, with a particular focus on memory and neural mechanisms, visual perception and processing mechanisms, neural networks and applications, cognitive science and education research, time series analysis and forecasting, and neuroscience and neuropharmacology research.

Grossberg's publication record includes recent papers that highlight various aspects of neural and cognitive systems:

  • "A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action," 2020, Frontiers in Neurorobotics
  • "A Neural Model of Intrinsic and Extrinsic Hippocampal Theta Rhythms: Anatomy, Neurophysiology, and Function," 2021, Frontiers in Systems Neuroscience
  • "Toward Understanding the Brain Dynamics of Music: Learning and Conscious Performance of Lyrics and Melodies With Variable Rhythms and Beats," 2022, Frontiers in Systems Neuroscience
  • "Toward Autonomous Adaptive Intelligence: Building Upon Neural Models of How Brains Make Minds," 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • "A Canonical Laminar Neocortical Circuit Whose Bottom-Up, Horizontal, and Top-Down Pathways Control Attention, Learning, and Prediction," 2021, Frontiers in Systems Neuroscience

Their work has been frequently published in venues such as Frontiers in Systems Neuroscience, Frontiers in Neurorobotics, IEEE Transactions on Systems Man and Cybernetics Systems, Cognitive Neuroscience, and Frontiers in Neuroinformatics.

Grossberg has collaborated with several researchers, including Cesare Alippi, David G. Brown, Maurizio Campolo, Yoonsuck Choe, and Nigel Duffy.

In addition to papers, Stephen Grossberg has authored books, including "Conscious Mind, Resonant Brain," published by Oxford University Press in 2021.

Their contributions have been recognized with various awards and honors. These include the IEEE Frank Rosenblatt Award in 2017, fellowship in the American Educational Research Association awarded in 2008, fellowship of the American Psychological Association since 1994, the Neural Networks Pioneer Award from the IEEE Computational Intelligence Society in 1991, and fellowship of the Alfred P. Sloan Foundation since 1969.

Best Publications

  • A massively parallel architecture for a self-organizing neural pattern recognition machine

    G. A. Carpenter;S. Grossberg

  • Absolute stability of global pattern formation and parallel memory storage by competitive neural networks

    Michael A. Cohen;Stephen Grossberg

  • Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps

    G.A. Carpenter;S. Grossberg;N. Markuzon;J.H. Reynolds

  • System for self-organization of stable category recognition codes for analog input patterns

    Gail A. Carpenter;Stephen Grossberg

  • Adaptive pattern classification and universal recoding. I.: parallel development and coding of neural feature detectors

    S. Grossberg

  • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system

    Gail A. Carpenter;Stephen Grossberg;David B. Rosen

  • Nonlinear neural networks: Principles, mechanisms, and architectures

    Stephen Grossberg

  • Competitive learning: from interactive activation to adaptive resonance

    Stephen Grossberg

  • The ART of adaptive pattern recognition by a self-organizing neural network

    Gail A. Carpenter;Stephen Grossberg

  • ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network

    Gail A. Carpenter;Stephen Grossberg;John H. Reynolds

  • Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading.

    Stephen Grossberg;Ennio Mingolla

  • How does the brain build a cognitive code

    Stephen Grossberg

  • Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions

    Stephen Grossberg

  • Neural Networks and Natural Intelligence

    Stephen Grossberg

  • Neural dynamics of perceptual grouping: textures, boundaries, and emergent segmentations.

    Stephen Grossberg;Ennio Mingolla

  • Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation

    D. Bullock;S. Grossberg

  • Neural Dynamics of Perceptual Grouping: Textures, Boundaries, And Emergent Segmentations

    Stephen Grossberg;Ennio Mingolla

  • Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks

    Stephen Grossberg

  • Pattern Recognition by Self-Organizing Neural Networks

    Gail A. Carpenter;Stephen Grossberg

  • ART 3: Hierarchical Search Using Chemical Transmitters in Self-Organizing Pattern Recognition Architectures

    Gail A. Carpenter;Stephen Grossberg

  • Recurrent neural networks

    Stephen Grossberg

  • The ART of Adaptive Pattern Recognition Self-organizing by a Neu Network

    Gail A. Carpenter;Stephen Grossberg

Frequent Co-Authors

Gail A. Carpenter
Gail A. Carpenter Boston University
Ennio Mingolla
Ennio Mingolla Northeastern University
Gary Bradski
Gary Bradski Stanford University
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Frank H. Guenther
Frank H. Guenther Boston University
Aaron R. Seitz
Aaron R. Seitz University of California, Riverside
Eric Granger
Eric Granger École de Technologie Supérieure
Douglas N. Greve
Douglas N. Greve Harvard University
Jose L. Contreras-Vidal
Jose L. Contreras-Vidal University of Houston
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology

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