Efficient Spike-Driven Learning With Dendritic Event-Based Processing
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Title
Efficient Spike-Driven Learning With Dendritic Event-Based Processing
Authors
Keywords
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Journal
Frontiers in Neuroscience
Volume 15, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2021-02-21
DOI
10.3389/fnins.2021.601109
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- (2018) Pierre Baldi et al. ARTIFICIAL INTELLIGENCE
- Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
- (2018) Mike Davies et al. IEEE MICRO
- SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks
- (2018) Friedemann Zenke et al. NEURAL COMPUTATION
- Real-Time Neuromorphic System for Large-Scale Conductance-Based Spiking Neural Networks
- (2018) Shuangming Yang et al. IEEE Transactions on Cybernetics
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- (2018) Blake A Richards et al. CURRENT OPINION IN NEUROBIOLOGY
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- (2017) Jacopo Bono et al. Nature Communications
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- (2017) Jordan Guerguiev et al. eLife
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- (2017) Emre O. Neftci et al. Frontiers in Neuroscience
- Convolutional networks for fast, energy-efficient neuromorphic computing
- (2016) Steven K. Esser et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons
- (2016) Katharina A. Wilmes et al. PLoS Computational Biology
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
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- (2015) Yann LeCun et al. NATURE
- Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons
- (2015) Katie C Bittner et al. NATURE NEUROSCIENCE
- Cost-efficient FPGA implementation of basal ganglia and their Parkinsonian analysis
- (2015) Shuangming Yang et al. NEURAL NETWORKS
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- (2015) Jaldert O. Rombouts et al. PLoS Computational Biology
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- (2014) Robert Urbanczik et al. NEURON
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- (2014) P. A. Merolla et al. SCIENCE
- Synthesizing cognition in neuromorphic electronic systems
- (2013) E. Neftci et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex
- (2012) Matthew Larkum TRENDS IN NEUROSCIENCES
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- (2008) Timothée Masquelier et al. PLoS One
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