Matches in SemOpenAlex for { <https://semopenalex.org/work/W2334564994> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2334564994 endingPage "1160" @default.
- W2334564994 startingPage "1152" @default.
- W2334564994 abstract "Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neuromorphic architectures have either focused on solely mimicking the neuron, or the synapse functionality. While memristive devices have been proposed to emulate biological synapses, spintronic devices have proved to be efficient at performing the thresholding operation of the neuron at ultra-low currents. In this work, we propose an All-Spin Artificial Neural Network where a single spintronic device acts as the basic building block of the system. The device offers a direct mapping to synapse and neuron functionalities in the brain while inter-layer network communication is accomplished via CMOS transistors. To the best of our knowledge, this is the first demonstration of a neural architecture where a single nanoelectronic device is able to mimic both neurons and synapses. The ultra-low voltage operation of low resistance magneto-metallic neurons enables the low-voltage operation of the array of spintronic synapses, thereby leading to ultra-low power neural architectures. Device-level simulations, calibrated to experimental results, was used to drive the circuit and system level simulations of the neural network for a standard pattern recognition problem. Simulation studies indicate energy savings by ~ 100x in comparison to a corresponding digital/ analog CMOS neuron implementation." @default.
- W2334564994 created "2016-06-24" @default.
- W2334564994 creator A5015362699 @default.
- W2334564994 creator A5031161187 @default.
- W2334564994 creator A5032635465 @default.
- W2334564994 date "2016-12-01" @default.
- W2334564994 modified "2023-10-17" @default.
- W2334564994 title "Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets" @default.
- W2334564994 cites W1542981317 @default.
- W2334564994 cites W1967111356 @default.
- W2334564994 cites W1982449228 @default.
- W2334564994 cites W1991813033 @default.
- W2334564994 cites W1996092882 @default.
- W2334564994 cites W2009295681 @default.
- W2334564994 cites W2016922062 @default.
- W2334564994 cites W2029479992 @default.
- W2334564994 cites W2039375332 @default.
- W2334564994 cites W2060969833 @default.
- W2334564994 cites W2063219138 @default.
- W2334564994 cites W2072790036 @default.
- W2334564994 cites W2076063813 @default.
- W2334564994 cites W2076358957 @default.
- W2334564994 cites W2077586448 @default.
- W2334564994 cites W2088797290 @default.
- W2334564994 cites W2093320793 @default.
- W2334564994 cites W2096199318 @default.
- W2334564994 cites W2142805504 @default.
- W2334564994 cites W2171394417 @default.
- W2334564994 cites W2334364695 @default.
- W2334564994 cites W3100511017 @default.
- W2334564994 cites W3102217464 @default.
- W2334564994 cites W3103973606 @default.
- W2334564994 doi "https://doi.org/10.1109/tbcas.2016.2525823" @default.
- W2334564994 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27214912" @default.
- W2334564994 hasPublicationYear "2016" @default.
- W2334564994 type Work @default.
- W2334564994 sameAs 2334564994 @default.
- W2334564994 citedByCount "132" @default.
- W2334564994 countsByYear W23345649942016 @default.
- W2334564994 countsByYear W23345649942017 @default.
- W2334564994 countsByYear W23345649942018 @default.
- W2334564994 countsByYear W23345649942019 @default.
- W2334564994 countsByYear W23345649942020 @default.
- W2334564994 countsByYear W23345649942021 @default.
- W2334564994 countsByYear W23345649942022 @default.
- W2334564994 countsByYear W23345649942023 @default.
- W2334564994 crossrefType "journal-article" @default.
- W2334564994 hasAuthorship W2334564994A5015362699 @default.
- W2334564994 hasAuthorship W2334564994A5031161187 @default.
- W2334564994 hasAuthorship W2334564994A5032635465 @default.
- W2334564994 hasBestOaLocation W23345649941 @default.
- W2334564994 hasConcept C119599485 @default.
- W2334564994 hasConcept C127413603 @default.
- W2334564994 hasConcept C127445978 @default.
- W2334564994 hasConcept C151927369 @default.
- W2334564994 hasConcept C154945302 @default.
- W2334564994 hasConcept C169760540 @default.
- W2334564994 hasConcept C24326235 @default.
- W2334564994 hasConcept C41008148 @default.
- W2334564994 hasConcept C46362747 @default.
- W2334564994 hasConcept C50644808 @default.
- W2334564994 hasConcept C86803240 @default.
- W2334564994 hasConceptScore W2334564994C119599485 @default.
- W2334564994 hasConceptScore W2334564994C127413603 @default.
- W2334564994 hasConceptScore W2334564994C127445978 @default.
- W2334564994 hasConceptScore W2334564994C151927369 @default.
- W2334564994 hasConceptScore W2334564994C154945302 @default.
- W2334564994 hasConceptScore W2334564994C169760540 @default.
- W2334564994 hasConceptScore W2334564994C24326235 @default.
- W2334564994 hasConceptScore W2334564994C41008148 @default.
- W2334564994 hasConceptScore W2334564994C46362747 @default.
- W2334564994 hasConceptScore W2334564994C50644808 @default.
- W2334564994 hasConceptScore W2334564994C86803240 @default.
- W2334564994 hasFunder F4320306076 @default.
- W2334564994 hasFunder F4320306087 @default.
- W2334564994 hasIssue "6" @default.
- W2334564994 hasLocation W23345649941 @default.
- W2334564994 hasLocation W23345649942 @default.
- W2334564994 hasLocation W23345649943 @default.
- W2334564994 hasOpenAccess W2334564994 @default.
- W2334564994 hasPrimaryLocation W23345649941 @default.
- W2334564994 hasRelatedWork W2071524226 @default.
- W2334564994 hasRelatedWork W2114399999 @default.
- W2334564994 hasRelatedWork W2145015417 @default.
- W2334564994 hasRelatedWork W2386387936 @default.
- W2334564994 hasRelatedWork W2559613310 @default.
- W2334564994 hasRelatedWork W2748952813 @default.
- W2334564994 hasRelatedWork W2886514389 @default.
- W2334564994 hasRelatedWork W2899084033 @default.
- W2334564994 hasRelatedWork W2946103847 @default.
- W2334564994 hasRelatedWork W3115178215 @default.
- W2334564994 hasVolume "10" @default.
- W2334564994 isParatext "false" @default.
- W2334564994 isRetracted "false" @default.
- W2334564994 magId "2334564994" @default.
- W2334564994 workType "article" @default.