Brain-Inspired In-Memory Data Pruning and Computing with TaO_x Mem-Selectors.

ABSTRACT: The selective attention mechanisms inherent in the human visual system provide a promising framework for developing edge systems that can simultaneously prune and process critical information from visual input. However, conventional complementary metal-oxide-semiconductor-based edge vision systems rely on complex digital logic for data pruning, alongside the physical separation of pruning, memory, and processing. This increases both power consumption and latency. Herein, a Mem-Selector (M-S) device that features reconfigurable non-volatile resistive memory and volatile threshold switching in a Ta/TaO_x/Ta₂O₅ stack is presented. For the first time, using transmission electron microscopy, the formation and rupture of conductive oxygen vacancy filaments are obs

SUBMITTER: Li Y 

PROVIDER: S-EPMC12574655 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature