A 78.5 hour multimodal dataset of procedural sedation captures 1,129 annotated consciousness transitions with 7,328 depth labels for indicator work.

CBS CoCoNUT: A new interest group that comes together every two weeks to have an informal exchange about cognitive computational neuroscience.

The Algonauts Project 2027 Challenge — how the human brain makes sense of video games. Launching end of 2026. Sign up to stay updated.

Metalheads Can Endure Pain Longer Thanks to the Festival Experience

DOSE-I is a multimodal clinical biosignal dataset recorded during routine gastrointestinal and bronchoscopic endoscopy under propofol sedation. It contains 78.5 hours of data from 171 recordings, with...

CBS CoCoNUT: A new interest group that comes together every two weeks to have an informal exchange about cognitive computational neuroscience.

YouTube video by MIT Consciousness Club

Index and overview of neuroimaging datasets for visual perception reconstruction. - seelikat/neuro-visual-reconstruction-dataset-index

Tracking the intellectual DNA of Computational and Systems Neuroscience through its flagship meeting

Workshop on Philosophical Issues in Neural Computation June 02 – 03, 2026 Ruhr-University Bochum Abstract: The idea that the brain performs computations is widely accepted in cognitive science...

A recent high-profile study by Koide-Majima et al. (2024) claimed a major advance in reconstructing visual imagery from brain activity using a novel variant of a generative AI-based method. However, o...

Visual cortical prostheses offer a promising path to sight restoration, but current systems elicit crude, variable percepts and rely on manual electrode-by-electrode calibration that does not scale. T...

Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...

Extensive work has shown that the visual cortex is reactivated during mental imagery, and that models trained on visual data can predict imagery activity and decode imagined stimuli. These findings ma...

This dataset includes functional magnetic resonance imaging (fMRI) data collected while five subjects extensively listened to 540 music pieces from 10…

What would it take to read someone’s mind? Neil deGrasse Tyson, Chuck Nice, & Gary O’Reilly explore the science of decoding our thoughts w/ Jean-Rémi King.

Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.

Help provide Helen De Cruz's children with a better start in life after her un… Marcus Arvan needs your support for Support Helen's Children After Her Passing

Visual image reconstruction, the decoding of perceptual content from brain activity into images, has advanced significantly with the integration of deep neural networks (DNNs) and generative models. T...

Comparing information structures in between deep neural networks (DNNs) and the human brain has become a key method for exploring their similarities and differences. Recent research has shown better a...

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Learning and memory are so fundamental to us, so enmeshed throughout cognition, that ‘solving’ memory, unpacking its neural mechanisms and being able to conceptualise it fully will, I believe, res…

YouTube video by Alessandro Gifford - Neuroscience Projects