How can we characterize the dynamics of neural networks with recurrent connections? How do the time-varying activities of populations of neurons represent things? How are synapse strengths ...

In a development for artificial intelligence, researchers have unveiled a 28×28 synaptic device array that promises to ...

A neuroanatomical minimal network model was revisited to elucidate the mechanism of salt concentration memory-dependent chemotaxis observed in Caenorhabditis elegans. C. elegans memorizes the salt ...

Still, Roberts is convinced that there is more than one way to form a neural network. He suggests that basic networks like the tadpole swimming network might form as neurons synapse based on their ...

In a research paper published by Optica, the researchers behind the system revealed it combines artificial intelligence (AI) ...

Researchers have mapped over 70,000 synaptic connections in rat neurons using a silicon chip with 4,096 microhole electrodes, significantly advancing neuronal recording technology.

In the preceding two decades, theorists had shown that a recurrent neural network could possess multiple stable states, which could be stored in the network by Hebbian synapses. These stable ...

Optical encryption involves securing data at the optical transport level of a network, which avoids slowing the overall system with additional hardware at the non-optical levels instead. This approach ...

We came up with the idea of training neural networks to recognize the incredibly fine details of the scrambled light patterns. By creating billions of complex connections, or synapses, within the ...