Add to ORKGMemristors have been compared to neurons (usually specifically the synapses) since 1976 but no experimental evidence has been offered for support for this position. Here we highlight that memristors naturally form fast-response, highly reproducible and repeatable current spikes which can be used in voltage-driven neuromorphic architecture. Ease of fitting current spikes with memristor theories both suggests that the spikes are part of the memristive effect and provides modeling capability for the design of neuromorphic circuits
Memristive devices have found application in both random access memory and neuromorphic circuits. In...
Memristors have emerged as promising, area-efficient, nano-scale devices for implementing models of ...
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...
Memristors have been compared to neurons (usually specifically the synapses) since 1976 but no exper...
Abstract—Memristors have been suggested as neuromorphic computing elements. Spike-time dependent pla...
Novel devices are being investigated as artificial synapse candidates for neuromorphic computing. Th...
Second order memristors have shown to be able to mimic some specific features of neuron synapses, sp...
Memristors have found application in neuromorphic circuits and it has been shown that, under certain...
Memristor, the fourth passive circuit element, has attracted increased attention from various areas ...
The advancements in the field of Artificial Intelligence (AI) and technology has led to an evolution...
Memristors have uses as artificial synapses and perform well in this role in simulations with artifi...
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
© 2014 Elsevier Ltd. All rights reserved. Memristors have uses as artificial synapses and perform we...
International audienceNeuromorphic computing is an efficient way to handle complex tasks such as ima...
The distinctive switching spikes seen in single memristors are suppressed in networks of memristors....
Memristive devices have found application in both random access memory and neuromorphic circuits. In...
Memristors have emerged as promising, area-efficient, nano-scale devices for implementing models of ...
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...
Memristors have been compared to neurons (usually specifically the synapses) since 1976 but no exper...
Abstract—Memristors have been suggested as neuromorphic computing elements. Spike-time dependent pla...
Novel devices are being investigated as artificial synapse candidates for neuromorphic computing. Th...
Second order memristors have shown to be able to mimic some specific features of neuron synapses, sp...
Memristors have found application in neuromorphic circuits and it has been shown that, under certain...
Memristor, the fourth passive circuit element, has attracted increased attention from various areas ...
The advancements in the field of Artificial Intelligence (AI) and technology has led to an evolution...
Memristors have uses as artificial synapses and perform well in this role in simulations with artifi...
Neuromorphic computing describes the use of electrical circuits to mimic biological architecture pre...
© 2014 Elsevier Ltd. All rights reserved. Memristors have uses as artificial synapses and perform we...
International audienceNeuromorphic computing is an efficient way to handle complex tasks such as ima...
The distinctive switching spikes seen in single memristors are suppressed in networks of memristors....
Memristive devices have found application in both random access memory and neuromorphic circuits. In...
Memristors have emerged as promising, area-efficient, nano-scale devices for implementing models of ...
International audienceSince memristor came out in 2008, neuromorphic designers investigated the poss...