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 ...

Researchers from the Department of Physics have managed to experimentally develop a new magnetic state: a magneto-ionic ...

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

According to estimates, 2.5 quintillion bytes of data is generated every day, indicating the need for highly efficient data ...

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 ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

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 ...