17 citations · 32 across the 2 of their papers we have counts for
5 papers
End-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction
Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi
Neuromorphic systems that learn and predict from streaming inputs hold significant promise in pervasive edge computing and its applications. In this paper, a neuromorphic system th…
Metaplasticity in Multistate Memristor Synaptic Networks
Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures +1
Recent studies have shown that metaplastic synapses can retain information longer than simple binary synapses and are beneficial for continual learning. In this paper, we explore t…
Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis
Abdullah M. Zyarah, Dhireesha Kudithipudi
Hierarchical temporal memory (HTM) is a biomimetic sequence memory algorithm that holds promise for invariant representations of spatial and spatiotemporal inputs. This paper prese…
Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator
Abdullah M. Zyarah, Dhireesha Kudithipudi
On-device intelligence is gaining significant attention recently as it offers local data processing and low power consumption. In this research, an on-device training circuitry for…
Neuromorphic Architecture for the Hierarchical Temporal Memory
Abdullah M. Zyarah, Dhireesha Kudithipudi
A biomimetic machine intelligence algorithm, that holds promise in creating invariant representations of spatiotemporal input streams is the hierarchical temporal memory (HTM). Thi…