[HTML][HTML] A general integrative neurocognitive modeling framework to jointly describe EEG and decision-making on single trials
Despite advances in techniques for exploring reciprocity in brain-behavior relations, few
studies focus on building neurocognitive models that describe both human EEG and …
studies focus on building neurocognitive models that describe both human EEG and …
Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making
Visual perceptual decision-making involves multiple components including visual encoding,
attention, accumulation of evidence, and motor execution. Recent research suggests that …
attention, accumulation of evidence, and motor execution. Recent research suggests that …
[HTML][HTML] Deep latent variable joint cognitive modeling of neural signals and human behavior
As the field of computational cognitive neuroscience continues to expand and generate new
theories, there is a growing need for more advanced methods to test the hypothesis of brain …
theories, there is a growing need for more advanced methods to test the hypothesis of brain …
Deep Latent Variable Modeling of Physiological Signals
K Vo - arXiv preprint arXiv:2405.19277, 2024 - arxiv.org
A deep latent variable model is a powerful method for capturing complex distributions.
These models assume that underlying structures, but unobserved, are present within the …
These models assume that underlying structures, but unobserved, are present within the …
Cognitive models of decision-making with identifiable parameters: Diffusion Decision Models with within-trial noise
Abstract Diffusion Decision Models (DDMs) are a widely used class of models that assume
an accumulation of evidence during a quick decision. These models are often used as …
an accumulation of evidence during a quick decision. These models are often used as …