Energy-Efficient Sparse Neural Processing: Rank Order Coding in a 40,000-Neuron Optical Network
We present a photonic spiking neural network (SNN) with 40,000 neurons using commercial optical components. This proof-of-concept work establishes a foundation for efficient photonic neuromorphic systems, achieving high MNIST accuracy by leveraging latency en coding and sparsity.
Authors
- Daniel Brunner (ORCID: https://orcid.org/0000-0002-4003-3056)
- Anas Skalli (ORCID: https://orcid.org/0000-0002-7039-926X)
- Ria Talukder (ORCID: https://orcid.org/0000-0001-5103-3003)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jsy120_1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00