Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each ...

In that sense, like a biological neuron, they fire or they don’t. But that’s about as far as the similarities go. What made the perceptron remarkable compared with prior computers was that it could ...

While neural networks solve all kinds of calculations, what can a single neuron do? Models in use for over fifty years estimate that its capabilities remain limited, and it's on this model that ...

“At the time, he was right,” Ksendzovsky admitted. Since then, improvements in electrode technology, computational tools, and neuron longevity have made biological computing viable.

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the Flatiron ...

Nearly all the neural networks that power modern artificial intelligence tools such as ChatGPT are based on a 1960s-era computational model of a living neuron. A new model developed at the ...

Researchers at the University of Liège innovate with a new type of artificial neuron, the Spiking Recurrent Cell (SRC). Closer to biological neurons, this new model aims to mimic their behavior ...

“Somehow, each neuron has to decode these combinatorial signals that are coming through these different chemical messengers,” Schafer says. Decoding the new signaling diagram, he says, is an ...

Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into ...