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David Sussillo

  1. Computation Through Neural Population Dynamics
    2020/07/08 by Saurabh Vyas, Matthew D. Golub, David Sussillo +1 · 1 voice · 51 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Receptor Mechanisms and Signaling
  2. Capacity and Trainability in Recurrent Neural Networks
    2016/11/29 by Jasmine Collins, Jascha Sohl‐Dickstein, Jascha Sohl-Dickstein +4 · 1 voice · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Neural Networks and Applications #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG #cs.NE #stat.ML
  3. Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
    2013/03/01 by David Sussillo, Omri Barak · 14 citations
  4. Universality and individuality in neural dynamics across large populations of recurrent networks
    2019/07/19 by Niru Maheswaranathan, Maheswaranathan, Niru, Alex H. Williams +7 · 13 citations
    Neuroscience · Computer Science · #Functional Brain Connectivity Studies #Neural dynamics and brain function #Neural Networks and Applications
  5. Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
    2022/10/15 by Anthony M. Zador, Zador, Anthony, G. Sean Escola +51 · 15 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
  6. Random Walk Initialization for Training Very Deep Feedforward Networks
    2014/12/19 by David Sussillo, L. F. Abbott, Sussillo, David +1 · 6 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
  7. Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
    2021/11/01 by Jimmy T. H. Smith, Scott W. Linderman, Smith, Jimmy T. H. +3 · 5 citations
    Neuroscience · Computer Science · Physics and Astronomy · #Neural dynamics and brain function #Neural Networks and Applications #Model Reduction and Neural Networks
  8. Individual variability of neural computations underlying flexible decisions
    2024/11/28 by Marino Pagan, V. Tang, Mikio Aoi +4 · 1 voice · 4 citations
    Neuroscience · #EEG and Brain-Computer Interfaces #Neural and Behavioral Psychology Studies #Neural dynamics and brain function
  9. Reverse engineering learned optimizers reveals known and novel\n mechanisms
    2020/11/04 by Niru Maheswaranathan, Maheswaranathan, Niru, David Sussillo +7 · 2 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques
  10. How recurrent networks implement contextual processing in sentiment\n analysis
    2020/04/16 by Niru Maheswaranathan, Maheswaranathan, Niru, David Sussillo +1 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling
  11. The geometry of integration in text classification RNNs
    2020/10/28 by Kyle Aitken, Aitken, Kyle, Vinay Ramasesh +9 · 1 citation
    Computer Science · Neuroscience · #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural dynamics and brain function
  12. Analyzing Populations of Neural Networks via Dynamical Model Embedding
    2023/02/27 by Jordan Cotler, Kai Sheng Tai, Cotler, Jordan +7 · 1 citation
    Computer Science · Physics and Astronomy · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  13. Are task representations gated in macaque prefrontal cortex?
    2023/06/29 by Timo Flesch, Flesch, Timo, Valerio Mante +9 · 1 citation
    Neuroscience · Psychology · #Neural and Behavioral Psychology Studies #Child and Animal Learning Development #Memory and Neural Mechanisms