activity
20072019
most citedPredicting criticality and dynamic range in complex networks: effects of topology

201 citations · 554 across the 13 of their papers we have counts for

collaborators

13 papers

q-bio.NC2019★ 8 cited

Control of excitable systems is optimal near criticality

Kathleen Finlinson, Woodrow L. Shew, Daniel B. Larremore +1

Experiments suggest that cerebral cortex gains several functional advantages by operating in a dynamical regime near the critical point of a phase transition. However, a long-stand…

q-bio.NC2018★ 17 cited

Robust entropy requires strong and balanced excitatory and inhibitory synapses

Vidit Agrawal, Andrew B. Cowley, Qusay Alfaori +3

It is widely appreciated that well-balanced excitation and inhibition are necessary for proper function in neural networks. However, in principle, such balance could be achieved by…

cond-mat.dis-nn2018★ 5 cited

Dynamic regulation of resource transport induces criticality in interdependent networks of excitable units

Yogesh S. Virkar, Juan G. Restrepo, Woodrow L. Shew +1

Various functions of a network of excitable units can be enhanced if the network is in the `critical regime', where excitations are, on average, neither damped nor amplified. An im…

q-bio.NC2017★ 21 cited

A Theoretical Framework for Analyzing Coupled Neuronal Networks: Application to the Olfactory System

Andrea K. Barreiro, Shree Hari Gautam, Woodrow L. Shew +1

Determining how synaptic coupling within and between regions is modulated during sensory processing is an important topic in neuroscience. Electrophysiological recordings provide d…

q-bio.NC2016★ 28 cited

Metabolite transport through glial networks stabilizes the dynamics of learning

Yogesh S. Virkar, Woodrow L. Shew, Juan G. Restrepo +1

Learning and memory are acquired through long-lasting changes in synapses. In the simplest models, such synaptic potentiation typically leads to runaway excitation, but in reality…

q-bio.NC2013★ 97 cited

Inhibition causes ceaseless dynamics in networks of excitable nodes

Daniel B. Larremore, Woodrow L. Shew, Edward Ott +2

The collective dynamics of a network of excitable nodes changes dramatically when inhibitory nodes are introduced. We consider inhibitory nodes which may be activated just like exc…