48 citations · 110 across the 6 of their papers we have counts for
6 papers
Connectivity structure and dynamics of nonlinear recurrent neural networks
David G. Clark, Owen Marschall, Alexander van Meegen +1
Studies of the dynamics of nonlinear recurrent neural networks often assume independent and identically distributed couplings, but large-scale connectomics data indicate that biolo…
Dimension of activity in random neural networks
David G. Clark, L. F. Abbott, Ashok Litwin-Kumar
Neural networks are high-dimensional nonlinear dynamical systems that process information through the coordinated activity of many connected units. Understanding how biological and…
Action-modulated midbrain dopamine activity arises from distributed control policies
Jack Lindsey, Ashok Litwin-Kumar
Animal behavior is driven by multiple brain regions working in parallel with distinct control policies. We present a biologically plausible model of off-policy reinforcement learni…
Learning to Learn with Feedback and Local Plasticity
Jack Lindsey, Ashok Litwin-Kumar
Interest in biologically inspired alternatives to backpropagation is driven by the desire to both advance connections between deep learning and neuroscience and address backpropaga…
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…
Self-organization of microcircuits in networks of neurons with plastic synapses
Gabriel Koch Ocker, Ashok Litwin-Kumar, Brent Doiron
The synaptic connectivity of cortical networks features an overrepresentation of certain wiring motifs compared to simple random-network models. This structure is shaped, in part,…