Jaan Aru

This paper reviews electrophysiological studies on psychedelics, showing complex effects on neuronal excitability and synaptic transmission, challenging the idea of uniform cortical excitation.

The paper compares a generative search model with human performance on a visual problem-solving task involving ambiguous star constellation data, examining accuracy, reaction time, and solution overlap.

This paper constructs a biophysical model of perceptual awareness in mice that explains neural and behavioral signatures and predicts electrophysiological responses.

The paper introduces a tool for simultaneous optical recording and optogenetic stimulation in two cortical layers of mice.

This study uses machine learning to identify spectral signatures in human brain activity that correlate with perceptual categorization of visual stimuli.

The paper presents a Bayesian model of BAC firing in pyramidal neurons to show how apical inputs can amplify basal responses without corrupting the signal, suggesting a new framework for understanding cortical function.

The paper examines individual differences in reliance on priors during perception across multiple tasks and finds no single factor explains variance, instead supporting a two-factor model of perceptual processing hierarchy.

The paper shows that self-generated hand movements reduce perceived visual contrast and affect first-order sensitivity but not metacognitive confidence judgments.

The paper investigates the alignment between gamma band activity in the human visual cortex and feature transformations in deep convolutional neural networks (DCNNs) along the ventral visual pathway.

VREX is an open-source Unity toolbox that enables researchers to create 3D virtual reality experiments for psychology and neuroscience, offering procedural room generation and experiment management.

The paper identifies N200 and P300 as reliable markers of conscious visual perception with onset latencies around 200 ms, but notes significant variability in their timing across different data subsets.

This study investigates change blindness in 3D virtual reality environments, finding that changes in the background are less detectable than those in the foreground.