A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems

Pedretti G, Mannocci P, Hashemkhani S, Milo V, Melnic O, Chicca E, Ielmini D (2020)
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits: 1-1.

Zeitschriftenaufsatz | E-Veröff. vor dem Druck | Englisch
 
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Autor*in
Pedretti, Giacomo; Mannocci, Piergiulio; Hashemkhani, Shahin; Milo, Valerio; Melnic, Octavian; Chicca, ElisabettaUniBi ; Ielmini, Daniele
Erscheinungsjahr
2020
Zeitschriftentitel
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Seite(n)
1-1
eISSN
2329-9231
Page URI
https://pub.uni-bielefeld.de/record/2943346

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Pedretti G, Mannocci P, Hashemkhani S, et al. A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 2020:1-1.
Pedretti, G., Mannocci, P., Hashemkhani, S., Milo, V., Melnic, O., Chicca, E., & Ielmini, D. (2020). A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 1-1. doi:10.1109/jxcdc.2020.2992691
Pedretti, G., Mannocci, P., Hashemkhani, S., Milo, V., Melnic, O., Chicca, E., and Ielmini, D. (2020). A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 1-1.
Pedretti, G., et al., 2020. A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, , p 1-1.
G. Pedretti, et al., “A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems”, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2020, pp. 1-1.
Pedretti, G., Mannocci, P., Hashemkhani, S., Milo, V., Melnic, O., Chicca, E., Ielmini, D.: A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 1-1 (2020).
Pedretti, Giacomo, Mannocci, Piergiulio, Hashemkhani, Shahin, Milo, Valerio, Melnic, Octavian, Chicca, Elisabetta, and Ielmini, Daniele. “A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems”. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (2020): 1-1.

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