DenRAM: neuromorphic dendritic architecture with RRAM for efficient temporal processing with delays.

ABSTRACT: An increasing number of studies are highlighting the importance of spatial dendritic branching in pyramidal neurons in the neocortex for supporting non-linear computation through localized synaptic integration. In particular, dendritic branches play a key role in temporal signal processing and feature detection. This is accomplished thanks to coincidence detection (CD) mechanisms enabled by the presence of synaptic delays that align temporally disparate inputs for effective integration. Computational studies on spiking neural networks further highlight the significance of delays for achieving spatio-temporal pattern recognition with pure feed-forward neural networks, without the need of resorting to recurrent architectures. In this work, we present "DenRAM", the first realization of a feed

SUBMITTER: D'Agostino S 

PROVIDER: S-EPMC11043378 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature