1 citations · 1 across the 2 of their papers we have counts for
3 papers
cond-mat.dis-nn2026
Latent kinetic Ising models of neural spike trains
Davide Ghio, David Saad
Inferring directed effective interactions from neuronal spike trains is a central inverse problem in statistical physics and computational neuroscience. Kinetic Ising models provid…
cond-mat.stat-mech2024
Viral Load Inference in Non-Adaptive Pooled Testing
Mansoor Sheikh, David Saad
Medical diagnostic testing can be made significantly more efficient using pooled testing protocols. These typically require a sparse infection signal and use either binary or real-…
physics.soc-ph2024★ 1 cited
Inferring Structure of Cortical Neuronal Networks from Firing Data: A Statistical Physics Approach
Ho Fai Po, Akke Mats Houben, Anna-Christina Haeb +5
Understanding the relation between cortical neuronal network structure and neuronal activity is a fundamental unresolved question in neuroscience, with implications to our understa…