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Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.

C. Bennett, S. Barbera, A. Vincent, J. Klein, F. Alibart, and D. Querlioz. IJCNN, page 947-954. IEEE, (2016)

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Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture.A. Velasquez, C. Bennett, N. Hassan, W. Brigner, O. Akinola, J. Incorvia, M. Marinella, and J. Friedman. CoRR, (2020)An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.T. Xiao, B. Feinberg, C. Bennett, V. Agrawal, P. Saxena, V. Prabhakar, K. Ramkumar, H. Medu, V. Raghavan, R. Chettuvetty and 2 other author(s). IEEE Trans. Circuits Syst. I Regul. Pap., 69 (4): 1480-1493 (2022)Magnetic skyrmions and domain walls for logical and neuromorphic computing.X. Hu, C. Cui, S. Liu, F. García-Sánchez, W. Brigner, B. Walker, A. Edwards, T. Xiao, C. Bennett, N. Hassan and 3 other author(s). Neuromorph. Comput. Eng., 3 (2): 22003 (June 2023)An Analog Preconditioner for Solving Linear Systems.B. Feinberg, R. Wong, T. Xiao, C. Bennett, J. Rohan, E. Boman, M. Marinella, S. Agarwal, and E. Ipek. HPCA, page 761-774. IEEE, (2021)Purely Spintronic Leaky Integrate-and-Fire Neurons.W. Brigner, N. Hassan, X. Hu, C. Bennett, F. García-Sánchez, M. Marinella, J. Incorvia, and J. Friedman. ISCAS, page 1189-1193. IEEE, (2022)CMOS-Free Magnetic Domain Wall Leaky Integrate-and-Fire Neurons with Intrinsic Lateral Inhibition.N. Hassan, W. Brigner, X. Hu, O. Akinola, C. Bennett, M. Marinella, F. García-Sánchez, J. Incorvia, and J. Friedman. ISCAS, page 1-5. IEEE, (2020)Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning.C. Bennett, T. Xiao, C. Cui, N. Hassan, O. Akinola, J. Incorvia, A. Velasquez, J. Friedman, and M. Marinella. ISCAS, page 1-5. IEEE, (2020)Supervised learning with organic memristor devices and prospects for neural crossbar arrays.C. Bennett, D. Chabi, T. Cabaret, B. Jousselme, V. Derycke, D. Querlioz, and J. Klein. NANOARCH, page 181-186. IEEE Computer Society, (2015)Spatio-temporal learning with arrays of analog nanosynapses.C. Bennett, D. Querlioz, and J. Klein. NANOARCH, page 125-130. IEEE, (2017)Multiscaled Simulation Methodology for Neuro-Inspired Circuits Demonstrated with an Organic Memristor.C. Bennett, J. Lorival, F. Marc, T. Cabaret, B. Jousselme, V. Derycke, J. Klein, and C. Maneux. IEEE Trans. Multi Scale Comput. Syst., 4 (4): 822-832 (2018)

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Disambiguation of "Bennett, Christopher H."

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Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.

Please choose a person to relate this publication to

Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bennett, Christopher H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.

Please choose a person to relate this publication to

Christopher H Müller

Loris Bennett

Brandon Bennett

Erin Bennett

James Bennett

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.