363 citations · 433 across the 11 of their papers we have counts for
11 papers
Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing
Md Mazharul Islam, Shamiul Alam, Mohammad Adnan Jahangir +5
Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense am…
Functional Specification of the RAVENS Neuroprocessor
Adam Z. Foshie, James S. Plank, Garrett S. Rose +1
RAVENS is a neuroprocessor that has been developed by the TENNLab research group at the University of Tennessee. Its main focus has been as a vehicle for chip design with memristiv…
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks
Hritom Das, Nishith N. Chakraborty, Catherine Schuman +1
Synapse is a key element of any neuromorphic computing system which is mostly constructed with memristor devices. A memristor is a two-terminal analog memory device. Memristive syn…
An Efficient and Accurate Memristive Memory for Array-based Spiking Neural Networks
Hritom Das, Rocco D. Febbo, SNB Tushar +4
Memristors provide a tempting solution for weighted synapse connections in neuromorphic computing due to their size and non-volatile nature. However, memristors are unreliable in t…
Optimizations for a Current-Controlled Memristor-based Neuromorphic Synapse Design
Hritom Das, Rocco D. Febbo, Charlie P. Rizzo +3
The synapse is a key element of neuromorphic computing in terms of efficiency and accuracy. In this paper, an optimized current-controlled memristive synapse circuit is proposed. O…
Disclosure of a Neuromorphic Starter Kit
James S. Plank, Bryson Gullett, Adam Z. Foshie +2
This paper presents a Neuromorphic Starter Kit, which has been designed to help a variety of research groups perform research, exploration and real-world demonstrations of brain-ba…