2 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.NC2025★ 1 cited
Learning continually with representational drift
Suzanne van der Veldt, Gido M. van de Ven, Sanne Moorman +1
Deep artificial neural networks famously struggle to learn from non-stationary streams of data. Without dedicated mitigation strategies, continual learning is associated with conti…
q-bio.NC2025
The brain as a blueprint: a survey of brain-inspired approaches to learning in artificial intelligence
Guillaume Etter
Inspired by key neuroscience principles, deep learning has driven exponential breakthroughs in developing functional models of perception and other cognitive processes. A key to th…
q-bio.NC2023★ 2 cited
Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites
Nizar Islah, Guillaume Etter, Mashbayar Tugsbayar +3
One of the hallmark features of neocortical anatomy is the presence of extensive top-down projections into primary sensory areas, with many impinging on the distal apical dendrites…