CNN cell with memcapacitive synapses and threshold control circuit

Jacek Flak

doi:10.1109/CNNA.2012.6331414

CNN cell with memcapacitive synapses and threshold control circuit

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values

Original language	English
Title of host publication	Proceedings
Subtitle of host publication	13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
Publisher	IEEE Institute of Electrical and Electronic Engineers
Number of pages	5
ISBN (Electronic)	978-1-4673-0289-0
ISBN (Print)	978-1-4673-0287-6
DOIs	https://doi.org/10.1109/CNNA.2012.6331414
Publication status	Published - 2012
MoE publication type	A4 Article in a conference publication
Event	13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 - Turin, Italy Duration: 29 Aug 2012 → 31 Aug 2012

Conference

Conference	13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
Abbreviated title	CNNA 2012
Country	Italy
City	Turin
Period	29/08/12 → 31/08/12

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Flak, J. (2012). CNN cell with memcapacitive synapses and threshold control circuit. In Proceedings: 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 [6331414] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/CNNA.2012.6331414

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abstract = "This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values",

author = "Jacek Flak",

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Flak, J 2012, CNN cell with memcapacitive synapses and threshold control circuit. in Proceedings: 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012., 6331414, IEEE Institute of Electrical and Electronic Engineers ,
13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012, Turin, Italy, 29/08/12. https://doi.org/10.1109/CNNA.2012.6331414

CNN cell with memcapacitive synapses and threshold control circuit. / Flak, Jacek.

Proceedings: 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012. IEEE Institute of Electrical and Electronic Engineers , 2012. 6331414.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AB - This paper presents a concept of a solid-state memcapacitor based on a combination of memristor and capacitor, as well as its applications to cellular nanoscale networks. In addition to ultra-dense memories, memcapacitors can also be used for synaptic connections and threshold control in arrays with capacitively coupled processing units. In principle, the proposed CNN cell structure implements the basic McCulloch-Pitts neuron model. Although the cell relies on the binary programmability scheme with single-bit template coefficients, the proposed memcapacitive synapses allow for asynchronous processing of tasks, for which the traditional cloning templates contain both positive and negative values

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Access to Document

10.1109/CNNA.2012.6331414