Calibrating Bayesian decoders of neural spiking activity

G Wei, ZT Mansouri, X Wang… - Journal of …, 2024 - Soc Neuroscience
Accurately decoding external variables from observations of neural activity is a major
challenge in systems neuroscience. Bayesian decoders, which provide probabilistic …

A doubly stochastic renewal framework for partitioning spiking variability

C Aghamohammadi, C Chandrasekaran, TA Engel - bioRxiv, 2024 - biorxiv.org
The firing rate is a prevalent concept used to describe neural computations, but estimating
dynamically changing firing rates from irregular spikes is challenging. An inhomogeneous …

Nonparametric Covariance Regression for Massive Neural Data on Restricted Covariates via Graph

G Wei - arXiv preprint arXiv:2409.19717, 2024 - arxiv.org
Modern recording techniques enable neuroscientists to simultaneously study neural activity
across large populations of neurons, with capturing predictor-dependent correlations being …

Framework of Interpretable Biometrics to Assess Internal Psychophysiological States of Distress in Autism and the General Population

M Elsayed - 2024 - search.proquest.com
Studies of human behavior often do not consider underlying physiological processes which
can reveal pertinent information about internal cognitive and emotional states. Assessments …

Bayesian dynamic modeling of neural spiking activity

G Wei - 2023 - search.proquest.com
Neuroscience is now entering an exciting new age. Modern recording technologies, such as
high-density silicon probes and large-scale calcium imaging methods, allow us to measure …

NONPARAMETRIC COVARIANCE REGRESSION FOR MASSIVE NEURAL DATA ON RESTRICTED COVARI

AVIA GRAPH - openreview.net
Modern recording techniques enable neuroscientists to simultaneously study neural activity
across large populations of neurons, with capturing predictor-dependent correlations being …