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cs.NE2024
Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat
Neuromorphic applications emulate the processing performed by the brain by using spikes as inputs instead of time-varying analog stimuli. Therefore, these time-varying stimuli have…
eess.AS2024
Efficient Sparse Coding with the Adaptive Locally Competitive Algorithm for Speech Classification
Soufiyan Bahadi, Eric Plourde, Jean Rouat
Researchers are exploring novel computational paradigms such as sparse coding and neuromorphic computing to bridge the efficiency gap between the human brain and conventional compu…