Using deep neural network models, researchers at Columbia Engineering have made a breakthrough in auditory attention decoding (AAD) methods and are coming closer to making cognitively controlled hearing aids a reality. (sciencedaily.com)
Olshausen and his research team recently used neural network models of higher layers of the visual cortex to show how brains are able to create stable perceptions of visual inputs in spite of image motion. (scientificamerican.com)
Recurrent neural network models trained to perform the task revealed that temporal scaling emerges from nonlinearities in the network and that the degree of scaling is controlled by the strength of external input. (csne-erc.org)