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Frontiers in Neuroscience
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July 7, 2017
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Emre O Neftci, Charles Augustine, Somnath Paul, et al.
IEEE Transactions on Biomedical Circuits and Systems
|
August 30, 2024
NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing
Maryam Sadeghi, Yasser Rezaeiyan, Dario Fernandez Khatiboun, et al.
Frontiers in Neuroscience
|
September 14, 2018
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis, Sadique Sheik, Charles Augustine, et al.
Frontiers in Neuroscience
|
May 22, 2019
Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
Bruno U Pedroni, Siddharth Joshi, Stephen R Deiss, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Frontiers in Neuroscience
|
July 7, 2017
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Emre O Neftci, Charles Augustine, Somnath Paul, et al.
IEEE Transactions on Biomedical Circuits and Systems
|
August 30, 2024
NEXUS: A 28nm 3.3pJ/SOP 16-Core Spiking Neural Network With a Diamond Topology for Real-Time Data Processing
Maryam Sadeghi, Yasser Rezaeiyan, Dario Fernandez Khatiboun, et al.
Frontiers in Neuroscience
|
September 14, 2018
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis, Sadique Sheik, Charles Augustine, et al.
Frontiers in Neuroscience
|
May 22, 2019
Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity
Bruno U Pedroni, Siddharth Joshi, Stephen R Deiss, et al.
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of 1