activity
20162023
collaborators

6 papers

stat.AP2023

Estimating the correlation between operational risk loss categories over different time horizons

Maurice L. Brown, Cheng Ly

Operational risk is challenging to quantify because of the broad range of categories (fraud, technological issues, natural disasters) and the heavy-tailed nature of realized losses…

q-bio.CB2018

Analysis of Heterogeneous Cardiac Pacemaker Tissue Models and Traveling Wave Dynamics

Cheng Ly, Seth H. Weinberg

The sinoatrial-node (SAN) is a complex heterogeneous tissue that generates a stable rhythm in healthy hearts, yet a general mechanistic explanation for when and how this tissue rem…

q-bio.NC2017

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.NC2017

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…

q-bio.NC2016

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…

q-bio.NC2016

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…