310 citations · 1.3k across the 14 of their papers we have counts for
7 papers · 1 filter
Theory of coupled neuronal-synaptic dynamics
David G. Clark, L. F. Abbott
In neural circuits, synaptic strengths influence neuronal activity by shaping network dynamics, and neuronal activity influences synaptic strengths through activity-dependent plast…
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…
Credit Assignment Through Broadcasting a Global Error Vector
David G. Clark, L. F. Abbott, SueYeon Chung
Backpropagation (BP) uses detailed, unit-specific feedback to train deep neural networks (DNNs) with remarkable success. That biological neural circuits appear to perform credit as…
Neural population geometry: An approach for understanding biological and artificial neural networks
SueYeon Chung, L. F. Abbott
Advances in experimental neuroscience have transformed our ability to explore the structure and function of neural circuits. At the same time, advances in machine learning have unl…
Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity
Ran Rubin, L. F. Abbott, Haim Sompolinsky
Neurons and networks in the cerebral cortex must operate reliably despite multiple sources of noise. To evaluate the impact of both input and output noise, we determine the robustn…
Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks
L F Abbott, Kanaka Rajan, Haim Sompolinsky
Trial-to-trial variability is an essential feature of neural responses, but its source is a subject of active debate. Response variability (Mast and Victor, 1991; Arieli et al., 19…
Stimulus-Dependent Suppression of Chaos in Recurrent Neural Networks
Kanaka Rajan, L F Abbott, Haim Sompolinsky
Neuronal activity arises from an interaction between ongoing firing generated spontaneously by neural circuits and responses driven by external stimuli. Using mean-field analysis,…