46 citations · 226 across the 18 of their papers we have counts for
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q-bio.NC2020★ 17 cited
Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience
Bruno Golosio, Chiara De Luca, Cristiano Capone +5
The brain exhibits capabilities of fast incremental learning from few noisy examples, as well as the ability to associate similar memories in autonomously-created categories and to…
q-bio.NC2020★ 10 cited
Target spiking patterns enable efficient and biologically plausible learning for complex temporal tasks
Paolo Muratore, Cristiano Capone, Pier Stanislao Paolucci
Recurrent spiking neural networks (RSNN) in the human brain learn to perform a wide range of perceptual, cognitive and motor tasks very efficiently in terms of energy consumption a…