Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array.

ABSTRACT: Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements. Although there has been experimental work that demonstrated the operation of nanoscale synaptic element at the single device level, network level studies have been limited to simulations. In this work, we demonstrate, using experiments, array level associative learning using phase change synaptic devices connected in a grid like configuration similar to the organization of the biological brain. Implementing Hebbian learning with phase change memory cells, the synaptic grid was able to store presented patterns and recall missing patterns in an associative brain-like fashi

SUBMITTER: Eryilmaz SB 

PROVIDER: S-EPMC4106403 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature