310 citations · 1.3k across the 14 of their papers we have counts for
Showing cond-mat.dis-nnShow all
2 papers · 1 filter
cond-mat.dis-nn2018★ 50 cited
Training dynamically balanced excitatory-inhibitory networks
Alessandro Ingrosso, L. F. Abbott
The construction of biologically plausible models of neural circuits is crucial for understanding the computational properties of the nervous system. Constructing functional networ…
cond-mat.dis-nn2014★ 108 cited
Dynamics of Random Neural Networks with Bistable Units
Merav Stern, Haim Sompolinsky, L. F. Abbott
We construct and analyze a rate-based neural network model in which self-interacting units represent clusters of neurons with strong local connectivity and random inter-unit connec…