Title:
IMPROVED SPIKING NEURAL NETWORK APPARATUS
Document Type and Number:
WIPO Patent Application WO/2024/018231
Kind Code:
A3
Abstract:
A spiking neural network is described that comprises a plurality of neurons in a first layer connected to at least one neuron in a second layer, each neuron in the first layer being connected to the at least one neuron in the second layer via a respective variable delay path. The at least one neuron in the second layer comprises one or more logic components configured to generate an output signal in dependence upon signals received along the variable delay paths from the plurality of neurons in the first layer. A timing component is configured to determine a timing value in response to receiving the output signal from the one or more logic components, and an accumulate component is configured to accumulate a value based timing values from the timing component. A neuron fires in a case that a value accumulated at the accumulate component reaches a threshold value.
Inventors:
MBOU EYOLE (GB)
Application Number:
PCT/GB2023/051934
Publication Date:
February 29, 2024
Filing Date:
July 21, 2023
Export Citation:
Assignee:
ADVANCED RISC MACH LTD (GB)
International Classes:
G06N3/065; G06N3/049; G06N3/09
Foreign References:
| US20170221558A1 | 2017-08-03 | |||
| US20210366542A1 | 2021-11-25 | |||
| JP2020149340A | 2020-09-17 | |||
| US20150074028A1 | 2015-03-12 |
Other References:
H. NAIR ET AL.: "A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks", 2021 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI), 7 July 2021 (2021-07-07), pages 266 - 271, XP033963415, DOI: 10.1109/ISVLSI51109.2021.00056
X. ZHANG ET AL.: "A 0.11-0.38 pJ/cycle Differential Ring Oscillator in 65 nm CMOS for Robust Neurocomputing", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS, vol. 68, no. 2, 16 November 2020 (2020-11-16), pages 617 - 630, XP011831589, ISSN: 1549-8328, [retrieved on 20210115], DOI: 10.1109/TCSI.2020.3036454
J. SONG ET AL.: "Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons", 2022 IEEE 4TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS), 13 June 2022 (2022-06-13), pages 5 - 8, XP034179954, DOI: 10.1109/AICAS54282.2022.9870009
X. ZHANG ET AL.: "A 0.11-0.38 pJ/cycle Differential Ring Oscillator in 65 nm CMOS for Robust Neurocomputing", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I: REGULAR PAPERS, vol. 68, no. 2, 16 November 2020 (2020-11-16), pages 617 - 630, XP011831589, ISSN: 1549-8328, [retrieved on 20210115], DOI: 10.1109/TCSI.2020.3036454
J. SONG ET AL.: "Energy-Efficient High-Accuracy Spiking Neural Network Inference Using Time-Domain Neurons", 2022 IEEE 4TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS), 13 June 2022 (2022-06-13), pages 5 - 8, XP034179954, DOI: 10.1109/AICAS54282.2022.9870009
Attorney, Agent or Firm:
EIP (GB)
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