A new peer-reviewed study led by scientists at the Perception Dynamics Institute and the University of California San Diego ...

This repository provides a Python implementation of VisNet and several biologically-inspired extensions designed to improve feature selectivity, robustness, and cortical plausibility. VisNet was ...

The models were trained on a dataset of synthetic images like the ones pictured, with objects such as tea kettles or calculators superimposed on different backgrounds. Researchers trained the model to ...

CAMBRIDGE, MA -- When visual information enters the brain, it travels through two pathways that process different aspects of the input. For decades, scientists have hypothesized that one of these ...

Visual hallucinations are a significant issue for many patients with Parkinson’s disease. A recent study published in the journal Brain reveals that these hallucinations are associated with a marked ...

Version of Record: This is the final version of the article. The dominant paradigm in the past decade for modeling the ventral visual stream's response to images has been to train deep neural networks ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

New research reveals that observing different visual stimuli can significantly distort the human perception of time. In findings published in Nature Human Behaviour, research psychologists from George ...

Abstract: Object recognition and object identification are multifaceted cognitive operations that require various brain regions to synthesize and process information. Prior research has evidenced the ...