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

2 Citations (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/Territory	Italy
City	Turin
Period	29/08/12 → 31/08/12

Access to Document

10.1109/CNNA.2012.6331414

Cite this

@inproceedings{e1fc34e71033425bbee66a302339f9fc,

title = "CNN cell with memcapacitive synapses and threshold control circuit",

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",

note = "Project code: 70824; <br/>13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012, CNNA 2012 ; Conference date: 29-08-2012 Through 31-08-2012",

year = "2012",

doi = "10.1109/CNNA.2012.6331414",

language = "English",

isbn = "978-1-4673-0287-6",

booktitle = "Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

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

TY - GEN

T1 - CNN cell with memcapacitive synapses and threshold control circuit

AU - Flak, Jacek

N1 - Project code: 70824

PY - 2012

Y1 - 2012

N2 - 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

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

U2 - 10.1109/CNNA.2012.6331414

DO - 10.1109/CNNA.2012.6331414

M3 - Conference article in proceedings

SN - 978-1-4673-0287-6

BT - Proceedings

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - <br/>13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012

Y2 - 29 August 2012 through 31 August 2012

ER -

CNN cell with memcapacitive synapses and threshold control circuit

Abstract

Conference

Access to Document

Fingerprint

Cite this