Abstract
Original language | English |
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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 | |
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 |
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Abbreviated title | CNNA 2012 |
Country | Italy |
City | Turin |
Period | 29/08/12 → 31/08/12 |
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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
ER -