21 citations · 73 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
Practical Approximation Method for Firing Rate Models of Coupled Neural Networks with Correlated Inputs
Andrea K. Barreiro, Cheng Ly
Rapid experimental advances now enable simultaneous electrophysiological recording of neural activity at single-cell resolution across large regions of the nervous system. Models o…
When do Correlations Increase with Firing Rate?
Andrea K. Barreiro, Cheng Ly
A central question in neuroscience is to understand how noisy firing patterns are used to transmit information. Because neural spiking is noisy, spiking patterns are often quantifi…
Variable Synaptic Strengths Controls the Firing Rate Distribution in Feedforward Neural Networks
Cheng Ly, Gary Marsat
Heterogeneity of firing rate statistics is known to have severe consequences on neural coding. Recent experimental recordings in weakly electric fish indicate that the distribution…
Firing Rate Dynamics in Recurrent Spiking Neural Networks with Intrinsic and Network Heterogeneity
Cheng Ly
Heterogeneity of neural attributes has recently gained a lot of attention and is increasing recognized as a crucial feature in neural processing. Despite its importance, this physi…
One-Dimensional Population Density Approaches to Recurrently Coupled Networks of Neurons with Noise
Wilten Nicola, Cheng Ly, Sue Ann Campbell
Mean-field systems have been previously derived for networks of coupled, two-dimensional, integrate-and-fire neurons such as the Izhikevich, adapting exponential (AdEx) and quartic…