Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in perception.

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This study used pupillometry to provide an objective assessment of a form of synesthesia in which people see additional color when reading numbers. It provides convincing evidence that subjective ...

The Ateneo Laboratory for Intelligent Visual Environments (ALIVE) is eager to co-develop machine learning solutions with ...

Researchers challenge the long-standing "neural independence" theory, showing that learning actually makes neurons more coordinated.

Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

By Dr. Priyom Bose, Ph.D. From alpha brain waves to amygdala activity, scientists map how forests, wetlands, and even ...

Following CES, 2026 is emerging as a pivotal year for Physical AI as robots and unmanned vehicles move toward scalable ...

BIOPIX, a retina-inspired biohybrid image sensor combining biological liquid environments with organic electronics to ...

From a purely physical standpoint, the nose takes up a noticeable part of each eye’s visual field. Positioned directly ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...