74 citations · 82 across the 5 of their papers we have counts for
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q-bio.NC2021★ 2 cited
A learning rule balancing energy consumption and information maximization in a feed-forward neuronal network
Dmytro Grytskyy, Renaud B. Jolivet
Information measures are often used to assess the efficacy of neural networks, and learning rules can be derived through optimization procedures on such measures. In biological neu…
q-bio.NC2013★ 74 cited
A unified view on weakly correlated recurrent networks
Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann +1
The diversity of neuron models used in contemporary theoretical neuroscience to investigate specific properties of covariances raises the question how these models relate to each o…