Latest and greatest advances for the NEF
Posted by Natarajan Vaidyanathan on June 1, 2021
This is our latest ‘overview’ paper. This one is targeted at the neuromorphics community, but also can be seen as a recent update to the latest NEF theoretical advances.
It covers how any linear synapse can be used in a network, and the ‘delay network’, a recent advance that not only explains time cells in the brain, but is setting state-of-the-art records in a wide variety of machine learning contexts.
This is coming out in the 2021 Springer Handbook for Neuromorphics.