5 citations · 5 across the 2 of their papers we have counts for
2 papers
q-bio.NC2022
Efficient multi-scale representation of visual objects using a biologically plausible spike-latency code and winner-take-all inhibition
Melani Sanchez-Garcia, Tushar Chauhan, Benoit R. Cottereau +1
Deep neural networks have surpassed human performance in key visual challenges such as object recognition, but require a large amount of energy, computation, and memory. In contras…
q-bio.NC2022★ 5 cited
Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses
Jacob Granley, Alexander Riedel, Michael Beyeler
Cortical prostheses are devices implanted in the visual cortex that attempt to restore lost vision by electrically stimulating neurons. Currently, the vision provided by these devi…