21 citations · 43 across the 3 of their papers we have counts for
3 papers
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…
Cellular Memristive-Output Reservoir (CMOR)
Wilkie Olin-Ammentorp, Karsten Beckmann, Nathaniel C. Cady
Reservoir computing is a subfield of machine learning in which a complex system, or 'reservoir,' uses complex internal dynamics to non-linearly project an input into a higher-dimen…
Stochasticity and Robustness in Spiking Neural Networks
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman +2
Artificial neural networks normally require precise weights to operate, despite their origins in biological systems, which can be highly variable and noisy. When implementing artif…