Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions-Reference-Cited by-同舟云学术

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Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions

Published:2022-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Custom Integrated Circuits Conference (CICC)
language:
Short-container-title:

Author:

Basu Arindam¹,Deng Lei²,Frenkel Charlotte³,Zhang Xueyong⁴

Affiliation:

1. City University of Hong Kong,Hong Kong

2. Tsinghua University and Chinese Institute for Brain Research,Center for Brain Inspired Computing Research (CBICR),Beijing,China

3. Institute of Neuroinformatics,UZH and ETH Zurich,Switzerland

4. Nanyang Technological University,Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9772767/9772730/09772783.pdf?arnumber=9772783

Reference75 articles.

1. Benchmarks for progress in neuromorphic computing

2. A deadlock-free physical mapping method on the many-core neural network chip

3. Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores

4. Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker

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1. An Application-Driven Survey on Event-Based Neuromorphic Computer Vision;Information;2024-08-09

2. Toward Efficient System-on-Module for Design-Space Exploration of Analog Spiking Neural Networks;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-08

3. A tunable multi-timescale Indium-Gallium-Zinc-Oxide thin-film transistor neuron towards hybrid solutions for spiking neuromorphic applications;Communications Engineering;2024-07-23

4. An Analog and Time-Discrete Neuron with Charge-Injection for Use in Ultra-Low Power Spiking Neural Networks;2024 19th Conference on Ph.D Research in Microelectronics and Electronics (PRIME);2024-06-09

5. Brain-Inspired Computing: A Systematic Survey and Future Trends;Proceedings of the IEEE;2024-06

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