CNS*2020 Online has ended
Welcome to the Sched instance for CNS*2020 Online! Please read the instruction document on detailed information on CNS*2020.
Back To Schedule
Sunday, July 19 • 7:00pm - 8:00pm
P223: Less is More: Wiring-Economical Modular Networks Support Self-Sustained Firing-Economical Neural Avalanches for Efficient Processing

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.

Join Zoom Meeting
Meeting ID: 825 980 1008

Shengjun Wang
, Junhao Liang, Changsong Zhou

Complex neural network in the brain is remarkably cost-efficient while the basic mechanisms underlying its structure-dynamics economy are not clear. Here we study the intricate interplay between wiring and running cost with modular network topology, self-sustained activity and critical avalanche dynamical mode in biologically plausible excitation-inhibition balanced spatial neuronal network. When rewiring the initially wiring-expensive sparse random network gradually to wiring-economical modular network, its self-sustained dynamics changes from asynchronous spiking to critical avalanches state with strongly reduced firing rate and greatly enhanced response sensitivity to transient stimuli. Thus, the system can counter intuitively achieve much more functional values with much less costs in both wiring and firing. The dynamic mechanism is explained as a proximity to Hopf bifurcation in the macroscopic mean-field in separated modules when increasing the connection density. Our work reveals the generic mechanism underlying the cost-economical structural organization and function-efficient critical dynamics of neural systems, providing insights to brain-inspired efficient computational designs.

This work is supposed to be presented by Changsong Zhou.

avatar for Changsong Zhou

Changsong Zhou

Professor, Physics, Hong Kong Baptist University
Dr. Changsong Zhou, Professor, Department of Physics, Director of Centre for Nonlinear Studies, Hong Kong Baptist University (HKBU). Dr. Zhou’s research interest is dynamical processes on complex systems. His current emphasis is on analysis and modeling connectivity and activity... Read More →

Sunday July 19, 2020 7:00pm - 8:00pm CEST
Slot 05