Zobrazeno 1 - 10
of 210
pro vyhledávání: '"D. Schuman"'
Autor:
Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Erbin Qiu, Amelie L. Nagle, Ivan K. Schuller, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract CMOS-RRAM integration holds great promise for low energy and high throughput neuromorphic computing. However, most RRAM technologies relying on filamentary switching suffer from variations and noise, leading to computational accuracy loss, i
Externí odkaz:
https://doaj.org/article/e06bf38281154f59bfcf421cf1e74b46
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 2, p 024010 (2024)
In neuromorphic computing, different learning mechanisms are being widely adopted to improve the performance of a specific application. Among these techniques, spike-timing-dependent plasticity (STDP) stands out as one of the most favored. STDP is si
Externí odkaz:
https://doaj.org/article/efbaf3b4d8524b73bf4382e24a438a02
Publikováno v:
IEEE Transactions on Control Systems Technology. 30:2433-2449
Autor:
William T. McClintic, Haden L. Scott, Nick Moore, Mustafa Farahat, Mikayla Maxwell, Catherine D. Schuman, Dima Bolmatov, Francisco N. Barrera, John Katsaras, C. Patrick Collier
Publikováno v:
MRS Bulletin. 48:13-21
Abstract In biology, heterosynaptic plasticity maintains homeostasis in synaptic inputs during associative learning and memory, and initiates long-term changes in synaptic strengths that nonspecifically modulate different synapse types. In bioinspire
Autor:
Ari D. Schuman, Adam R. Szymanowski
Publikováno v:
Operative Techniques in Otolaryngology-Head and Neck Surgery.
Autor:
Karan P. Patel, Catherine D. Schuman
Publikováno v:
Neuro-Inspired Computational Elements Conference.
Autor:
Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 18:1-20
This work addresses how to naturally adopt the l 2 -norm cosine similarity in the neuromemristive system and studies the unsupervised learning performance on handwritten digit image recognition. Proposed architecture is a two-layer fully connected ne
Publikováno v:
Journal of Homosexuality. 70:1411-1439
The current study explored whether affiliating with an LGBT peer crowd on a college campus differentially predicts college adjustment (including loneliness, college belongingness, academic well-being, and stress), as opposed to affiliating with a non
Autor:
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Publikováno v:
Nature Computational Science. 2:10-19
Publikováno v:
2022 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK).