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Neural Computation|July 31, 2023
Learning Intention-Aware Policies in Deep Reinforcement LearningT Zhao, S Wu, G Li, et al.Neural Computation|October 16, 2023
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data ModificationsHiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, et al.Neural Computation|October 16, 2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical EvaluationUmais Zahid, Qinghai Guo, Zafeirios FountasNeural Computation|September 19, 2023
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNsMikail Khona, Sarthak Chandra, Joy J Ma, et al.Neural Computation|September 19, 2023
Optimal Feedback Control for the Proportion of Energy Cost in the Upper-Arm Reaching MovementYoshiaki TaniaiNeural Computation|July 11, 2023
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I NetworksTakashi Kanamaru, Takao K Hensch, Kazuyuki AiharaNeural Computation|July 12, 2023
A Noise-Based Novel Strategy for Faster SNN TrainingChunming Jiang, Yilei ZhangNeural Computation|March 7, 2003
A stochastic method to predict the consequence of arbitrary forms of spike-timing-dependent plasticityHideyuki Câteau, Tomoki FukaiNeural Computation|October 25, 2002
Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: the development of topographyTerry Elliott, Jörg KramerPageof 299