3 citations · 3 across the 2 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cond-mat.dis-nn2018
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…
cs.NE2018
Feedback alignment in deep convolutional networks
Theodore H. Moskovitz, Ashok Litwin-Kumar, L. F. Abbott
Ongoing studies have identified similarities between neural representations in biological networks and in deep artificial neural networks. This has led to renewed interest in devel…