An Analog and Time-Discrete Neuron with Charge-Injection for Use in Ultra-Low Power Spiking Neural Networks
Author:
Affiliation:
1. Technical University of Munich (TUM),Chair for Circuit Design
Funder
Deutsche Forschungsgemeinschaft (DFG)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10559643/10559661/10559725.pdf?arnumber=10559725
Reference10 articles.
1. Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions
2. A 0.086-mm $^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
3. Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence
4. A Low-Power Spiking Neural Network Chip Based on a Compact LIF Neuron and Binary Exponential Charge Injector Synapse Circuits
5. A Neuromorphic Cortical-Layer Microchip for Spike-Based Event Processing Vision Systems
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