If you want to read more about the JAST algorithm:
Some of the more standout lines for me were:
"The model is attractive for applications because it is simple enough to allow the simulation of very large numbers of cortical neurons in real time."
"An ability to detect patterns of sensory activity that repeat could be a critical feature of all perceptual systems."
"The algorithm is very “hardware friendly” and an implementation on a single FPGA can process millions of spikes per second."
"The efficiency of the algorithm and the simplicity of the neurons means that real time processing with millions of neurons will be feasible in the near future."
"The algorithm has two pending patents and an exclusive license for commercial applications has been signed with BrainChip Inc."
https://www.researchgate.net/publication/319410728_Unsupervised_learning_of_repeating_patterns_using_a_novel_STDP_based_algorithm
https://www.researchgate.net/profile/Amirreza_Yousefzadeh/publication/319410728_Unsupervised_learning_of_repeating_patterns_using_a_novel_STDP_based_algorithm/links/5b4932cc0f7e9b4637d5e6ba/Unsupervised-learning-of-repeating-patterns-using-a-novel-STDP-based-algorithm.pdf?origin=publication_detail
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