The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

How efficiently can we mimic biological spiking process of neurons and synapses, and is CMOS a good choice for neural networks? Artificial neural networks have found a variety of commercial ...

At the neuron level, the inhibiting autapse is incorporated into the leaky integrate-and-fire neuron model, resulting in a highly parameterized microcircuit with memory ability. At the learning level, ...

Spiking neural networks (SNNs) are a type of neural network based around changes to an existing state. Spike-based approaches seek to more closely model the dynamics of learning in biological brains, ...

Researchers at the Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at the Texas Children’s Hospital have uncovered a new cell type in the human brain. The team ...

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial neuron could boost high-speed computing and artificial intelligence (AI), ...

Research has shown for the first time that a computer model can replicate and explain a unique property displayed by a crucial brain cell. Their findings shed light on how groups of neurons can ...