Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dinesh Rajasekharan"'
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:2107-2114
Ferroelectric field-effect transistor-based circuit implementation mimicking FitzHugh-Nagumo neuron is proposed in this work. The proposed circuit is shown to mimic biological neuron properties such as excitation block and anodal break excitation whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0d4060ba1c0e92d7512084318495f81
https://doi.org/10.1109/tcad.2021.3101407
https://doi.org/10.1109/tcad.2021.3101407
Publikováno v:
IEEE Embedded Systems Letters. 14:103-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::193aabfe19c7e126852214001f6a714b
https://doi.org/10.1109/les.2021.3127682
https://doi.org/10.1109/les.2021.3127682
Autor:
Swetaki Chatterjee, Nikhil Rangarajan, Satwik Patnaik, Dinesh Rajasekharan, Ozgur Sinanoglu, Yogesh Singh Chauhan
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::495b2a19f41a53f8ca20cf4ae033e313
https://doi.org/10.1109/tetc.2022.3210401
https://doi.org/10.1109/tetc.2022.3210401
Autor:
Dinesh Rajasekharan, Nikhil Rangarajan, Satwik Patnaik, Ozgur Sinanoglu, Yogesh Singh Chauhan
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Deep neural networks (DNNs) form a critical infrastructure supporting various systems, spanning from the iPhone neural engine to imaging satellites and drones. The design of these neural cores is often proprietary or a military secret. Nevertheless,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fe4396a4d92192400f1f233de10575e
https://doi.org/10.1109/tnnls.2021.3130884
https://doi.org/10.1109/tnnls.2021.3130884
Publikováno v:
2020 5th IEEE International Conference on Emerging Electronics (ICEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9ba84e87d676f6b5c399bd4a6ee4780
https://doi.org/10.1109/icee50728.2020.9777062
https://doi.org/10.1109/icee50728.2020.9777062
Publikováno v:
IEEE Transactions on Nanotechnology. 17:1235-1243
Fully depleted silicon-on-insulator (FDSOI) MOSFET-based inverter is used as a distance computing cell (DCC) for non-Boolean associative processing system. Using back-gate bias in FDSOI transistors, the DCC shows excellent controllability of current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e134c381f748c42969f71eee4d113fb
https://doi.org/10.1109/tnano.2018.2871110
https://doi.org/10.1109/tnano.2018.2871110
Publikováno v:
VLSI Design
Potential of neuromorphic circuits on FDSOI technology for computer vision applications is demonstrated in this paper. Computer vision systems based on conventional Von Neumann architecture consume large area and energy. The FDSOI inverter-based circ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8aad7b19f8b9ce0b829ca136ad6644e
https://doi.org/10.1109/vlsid.2019.00108
https://doi.org/10.1109/vlsid.2019.00108
Publikováno v:
Microelectronics Journal. 104:104877
A novel method for associative processing, using negative capacitance FDSOI (NC-FDSOI) transistors, is presented in this work. Distance computing cell (DCC), that is the basic building block of the associative processing system, is designed using onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e41c51f1697c07e4b302101829e3894
https://doi.org/10.1016/j.mejo.2020.104877
https://doi.org/10.1016/j.mejo.2020.104877
Publikováno v:
2018 IEEE 2nd Electron Devices Technology and Manufacturing Conference (EDTM).
Exploiting the Tunnel FET (TFET) properties such as unidirectional conduction and asymmetric drain and source, we propose for the first time a novel TFET-based circuit design mechanism for spike timing dependent plasticity process. In the proposed ci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::353e9ee878963e3db8f9cd193850935b
https://doi.org/10.1109/edtm.2018.8421527
https://doi.org/10.1109/edtm.2018.8421527
Publikováno v:
2016 3rd International Conference on Emerging Electronics (ICEE).
Tunnel FETs (TFETs) with steep switching slope have emerged as an attractive device for energy-efficient circuit implementations. In this work, we explore Spiking Neural Network (SNN) based on Tunnel FETs. Neuron and binary image edge detection circu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a34da706a84e4e2660412a945eb8fe5
https://doi.org/10.1109/icemelec.2016.8074589
https://doi.org/10.1109/icemelec.2016.8074589