Researchers identify a neural "fingerprint" in the brain that predicts how accurately we can size up the intentions and strategies of others.
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Photonic chips advance real-time learning in spiking neural systems
Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
How does the brain process the complex flood of visual inputs? A new study at the University of Konstanz on larval zebrafish gives answers, combining behavioural experiments, advanced brain imaging ...
A recent study identified beta frequency neural activity in the anterior cingulate cortex (ACC) of the brain's frontal lobe as the key neural signature underlying processes associated with recognizing ...
“I just can’t make it tonight. You have fun without me.” Across much of the animal kingdom, when infection strikes, social contact shuts down. A study headed by researchers at The Picower Institute ...
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 ...
Cedars-Sinai investigators working to optimize a cell-based treatment for retinitis pigmentosa have uncovered how ...
A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.
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Brain oscillations reveal dynamic shifts in creative thought during metaphor generation
When people generate creative metaphors for scientific ideas, their brains shift through distinct patterns of neural activity over time. A new study published in Psychophysiology used ...
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