LCA
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
The Locally Competitive Algorithm (LCA) is a dynamical sparse solver that uses only local computations, allowing for massively parallel implementations on compatible neuromorphic architectures such as Intel's Loihi research chip. In this invention, we show how unsupervised dictionary learning with spiking LCA can be implemented on GPUs and Intel's Loihi research chip.
- Site Accession Number:
- Battelle IPID 32667-E
- Software Type:
- Scientific
- License(s):
- BSD 2-clause "Simplified" License
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- code-103196
- Country of Origin:
- United States
Similar Records
Dictionary Learning with Accumulator Neurons
LCA-PyTorch
NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v
Conference
·
Mon Aug 01 00:00:00 EDT 2022
·
OSTI ID:1893845
LCA-PyTorch
Software
·
Thu Jun 22 20:00:00 EDT 2023
·
OSTI ID:code-110613
NeuralRW-Loihi: Spiking Discrete Time Markov Chain Simulator for Intel Loihi v
Software
·
Thu Nov 09 19:00:00 EST 2023
·
OSTI ID:code-125284