4 papers
Learning to See via Epiretinal Implant Stimulation in silico with Model-Based Deep Reinforcement Learning
Jacob Lavoie, Marwan Besrour, William Lemaire +3
Objective: Diseases such as age-related macular degeneration and retinitis pigmentosa cause the degradation of the photoreceptor layer. One approach to restore vision is to electri…
Adaptive Central Frequencies Locally Competitive Algorithm for Speech
Soufiyan Bahadi, Eric Plourde, Jean Rouat
Neuromorphic computing, inspired by nervous systems, revolutionizes information processing with its focus on efficiency and low power consumption. Using sparse coding, this paradig…
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…
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…