Visual perception emerges from a cascade of neural transformations that begin with photoreceptors in the retina and proceed via the lateral geniculate nucleus to primary visual cortex (V1), thereafter ...

Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance. However, in new research I have used a phenomenon called “quantum tunnelling” to ...

Howard Hughes Medical Institute-led research has uncovered three neural circuit mechanisms that enable female fruit flies to modify their visual processing during aggressive interactions. Neuronal ...

Google has unveiled an experimental feature for its Gemini AI assistant that enables the system to analyze the surrounding ...

Evoked responses to the congruent and incongruent target words 'cheap' or 'expensive' in the price judgment task (A–C) and the semantic task (D). The graph shows responses to the target words ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...