相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle
Zhenshan Bing et al.
NEURAL NETWORKS (2020)
Learning dexterous in-hand manipulation
Marcin Andrychowicz et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2020)
A solution to the learning dilemma for recurrent networks of spiking neurons
Guillaume Bellec et al.
NATURE COMMUNICATIONS (2020)
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
Timo Wunderlich et al.
FRONTIERS IN NEUROSCIENCE (2019)
All-optical spiking neurosynaptic networks with self-learning capabilities
J. Feldmann et al.
NATURE (2019)
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
Milad Mozafari et al.
FRONTIERS IN NEUROSCIENCE (2019)
Embodied Synaptic Plasticity With Online Reinforcement Learning
Jacques Kaiser et al.
FRONTIERS IN NEUROROBOTICS (2019)
A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks
Zhenshan Bing et al.
FRONTIERS IN NEUROROBOTICS (2018)
Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules
Wulfram Gerstner et al.
FRONTIERS IN NEURAL CIRCUITS (2018)
Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain
Chetan Singh Thakur et al.
FRONTIERS IN NEUROSCIENCE (2018)
A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning
David Kappel et al.
ENEURO (2018)
Place field assembly distribution encodes preferred locations
Omar Mamad et al.
PLOS BIOLOGY (2017)
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Nicolas Fremaux et al.
FRONTIERS IN NEURAL CIRCUITS (2016)
Robots that can adapt like animals
Antoine Cully et al.
NATURE (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
A Spiking Neural Network Model of Model-Free Reinforcement Learning with High-Dimensional Sensory Input and Perceptual Ambiguity
Takashi Nakano et al.
PLOS ONE (2015)
Design principles of the sparse coding network and the role of sister cells in the olfactory system of Drosophila
Danke Zhang et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2013)
Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons
Nicolas Fremaux et al.
PLOS COMPUTATIONAL BIOLOGY (2013)
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning
Wiebke Potjans et al.
PLOS COMPUTATIONAL BIOLOGY (2011)
A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
Robert Legenstein et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
Solving the distal reward problem through linkage of STDP and dopamine signaling
Eugene M. Izhikevich
CEREBRAL CORTEX (2007)
Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity
Razvan V. Florian
NEURAL COMPUTATION (2007)