A generative model of electrophysiological brain responses to stimulation.

ABSTRACT: Each brain response to a stimulus is, to a large extent, unique. However this variability, our perceptual experience feels stable. Standard decoding models, which utilise information across several areas to tap into stimuli representation and processing, are fundamentally based on averages. Therefore, they can focus precisely on the features that are most stable across stimulus presentations. But which are these features exactly is difficult to address in the absence of a generative model of the signal. Here, I introduce genephys, a generative model of brain responses to stimulation publicly available as a Python package that, when confronted with a decoding algorithm, can reproduce the structured patterns of decoding accuracy that we observe in real data. Using this approach, I cha

SUBMITTER: Vidaurre D 

PROVIDER: S-EPMC10945576 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature