Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

As computer programming becomes an increasingly valued skill in the workforce, there is a greater need to understand how people learn to code most effectively. Statistics show that up to 50% of ...

Roberto F. Galán, assistant professor in the Department of Electrical Engineering and Computer Science, and Ken Loparo, the Nord Professor of Engineering, will present “Making Sense Out of Noise in ...

Harvard researchers built a complementary metal-oxide semiconductor (CMOS) chip packed with 4,096 microhole electrode arrays, allowing them to record electrical activity across several neural cells.

Nervous system functions, from motion to perception to cognition, depend on the active zones of neural circuit connections (synapses) sending out the right amount of their chemical signals at the ...

Researchers found that fear conditioning led to learning-specific changes in neuronal-network activity in the dorsal part of the medial prefrontal cortex of mice. This study demonstrates the use of ...