Brain-inspired neural networks reveal insights into biological basis of relational learning by Ingrid Fadelli, Phys.org Editors' notes ...

Researchers at the Technical University of Munich (TUM) have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system ...

Jan 22, 2024 Artificial neural network hardware based on stacked neuron-synapse-neuron structural blocks (Nanowerk News) With the emergence of new industries such as artificial intelligence, the ...

11/10/2005 15:35 UTC How frontotemporal dementia, the syndrome affecting Bruce Willis, changes the brain Some of the same genetic mutations can lead to FTD, ALS or symptoms of both 02/26/2023 13 ...

Engineers at the University of Liège have taken a major step forward in the architecture of artificial neural networks by creating a new type of spiking neuron. Called the Spiking Recurrent Cell ...

Researchers have developed a new artificial neuron device, which could reduce the computing power and hardware needed in the training of neural networks to perform tasks. The device can run neural ...

They found that their neural networks could solve these tasks, and also consistently attained similar behaviors to those achieved by humans and some animals as documented in previous studies.

Researchers at TUM have now shown that artificial neural networks - which mimic the function of the brain - can also benefit from this kind of pre-training. Read the full story here.