This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

In a landmark move for the decentralized AI ecosystem, BlockMesh has officially merged into Perceptron Network, uniting two ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

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

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