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Terrence J. Sejnowski

  1. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
    1995/11/01 by Anthony J. Bell, Terrence J. Sejnowski · 52 citations
    Chemistry · Computer Science · #Blind Source Separation Techniques #Neural Networks and Applications #Spectroscopy and Chemometric Analyses
  2. Slow Feature Analysis: Unsupervised Learning of Invariances
    2002/04/01 by Laurenz Wiskott, Terrence J. Sejnowski · 49 citations
    Computer Science · Neuroscience · Chemistry · #Blind Source Separation Techniques #Neural dynamics and brain function #Spectroscopy and Chemometric Analyses
  3. The “independent components” of natural scenes are edge filters
    1997/12/01 by Anthony J. Bell, Terrence J. Sejnowski, T. J. Sejnowski · 36 citations
    Neuroscience · Computer Science · #Neural dynamics and brain function #Blind Source Separation Techniques #Visual perception and processing mechanisms
  4. Predicting the secondary structure of globular proteins using neural network models
    1988/08/01 by Ning Qian, Terrence J. Sejnowski · 16 citations
    Biochemistry, Genetics and Molecular Biology · #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
  5. Gradient Descent for Spiking Neural Networks
    2017/06/14 by Dongsung Huh, Huh, Dongsung, Terrence J. Sejnowski +1 · 1 voice · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #cs.LG #cs.NE #q-bio.NC #stat.ML
  6. Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
    1999/02/01 by Te-Won Lee, Mark Girolami, Terrence J. Sejnowski · 10 citations
    Computer Science · Neuroscience · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #Neural dynamics and brain function
  7. Large Language Models and the Reverse Turing Test
    2022/07/28 by Terrence J. Sejnowski, Terrence Sejnowski · 1 voice · 6 citations
    Computer Science · Social Sciences · #Language and cultural evolution #Reinforcement Learning in Robotics #Topic Modeling #cs.AI #cs.CL #cs.LG
  8. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, G. Sean Escola, Zador, Anthony +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
  9. The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI
    2025/05/03 by Barbara Oakley, Michael Johnston, Oakley, Barbara +7 · 6 voices
    #cs.CY #cs.AI #cs.HC #q-bio.NC
  10. A learning algorithm for boltzmann machines
    1985/03/01 by David H. Ackley, Geoffrey E. Hinton, Terrence J. Sejnowski · 1 voice · 2 citations
    Computer Science · Materials Science · #Machine Learning and Algorithms #Machine Learning in Materials Science #Neural Networks and Applications
  11. Diversity-enabled sweet spots in layered architectures and\n speed-accuracy trade-offs in sensorimotor control
    2019/09/18 by Yorie Nakahira, Quanying Liu, Nakahira, Yorie +5 · 3 citations
    Neuroscience · #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neural Engineering #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
  12. Complex independent component analysis of frequency-domain electroencephalographic data
    2003/10/25 by Jörn Anemüller, Jorn Anemuller, Terrence J. Sejnowski +1 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · Physics and Astronomy · #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #Neural dynamics and brain function #cs.CE #physics.data-an #q-bio.NC #q-bio.QM
  13. Traveling Waves Encode the Recent Past and Enhance Sequence Learning
    2023/09/03 by T. Anderson Keller, Keller, T. Anderson, Lyle Muller +5 · 6 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  14. Replay in Deep Learning: Current Approaches and Missing Biological Elements
    2021/04/01 by Tyler L. Hayes, Hayes, Tyler L., Giri P. Krishnan +9 · 3 citations
    Neuroscience · Psychology · #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC) #Sleep and Wakefulness Research #Sleep and related disorders
  15. A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
    2024/09/20 by T. Anderson Keller, Lyle Muller, Keller, T. Anderson +5 · 2 voices · 4 citations
    Computer Science · #Cellular Automata and Applications #Neural Networks and Applications #Computability, Logic, AI Algorithms
  16. Neuronal Tuning: To Sharpen or Broaden?
    1999/01/01 by Kechen Zhang, Terrence J. Sejnowski · 1 citation
  17. Internal feedback in the cortical perception-action loop enables fast and accurate behavior
    2022/11/10 by Jing Shuang Li, Li, Jing Shuang, Anish A. Sarma +5 · 1 citation
    Neuroscience · Computer Science · #Neural dynamics and brain function #Neural Networks and Applications #Visual perception and processing mechanisms
  18. Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
    2025/12/17 by Terrence J. Sejnowski, Sejnowski, Terrence J. · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #cs.AI #q-bio.NC
  19. Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
    2024/02/15 by Arjun Karuvally, Karuvally, Arjun, Terrence J. Sejnowski +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)