Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gert Cauwenbergh"'
Autor:
Shivani Shukla, Joshua L. Schwartz, Callum Walsh, Wen Mai Wong, Vrund Patel, Yu-Peng Hsieh, Chichi Onwuasoanya, Shaoming Chen, Andreas Offenhäusser, Gert Cauwenberghs, Francesca Santoro, Alysson R. Muotri, Gene W. Yeo, Sreekanth H. Chalasani, Zeinab Jahed
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract The brain integrates activity across networks of interconnected neurons to generate behavioral outputs. Several physiological and imaging-based approaches have been previously used to monitor responses of individual neurons. While these tech
Externí odkaz:
https://doaj.org/article/b8bc8123d45b4d64a93b9b91cebbb8d5
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
Autor:
Yuhong Zhang, Qin Li, Sujal Nahata, Tasnia Jamal, Shih-Kuen Cheng, Gert Cauwenberghs, Tzyy-Ping Jung
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3465-3475 (2024)
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning. This shift calls for inter
Externí odkaz:
https://doaj.org/article/bbc9b3caf2ef4f74bbe900818e0c7dc7
Publikováno v:
EMBC
In neural electrophysiology, spike sorting allows to separate different neurons from extracellularly measured recordings. It is an essential processing step in order to understand neural activity and it is an unsupervised problem in nature, since no
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2545-2551 (2023)
Visual stimuli design plays an important role in brain-computer interfaces (BCIs) based on visual evoked potentials (VEPs). Variations in stimulus parameters have been shown to affect both decoding accuracy and subjective perception experience, imply
Externí odkaz:
https://doaj.org/article/0cc876fa2cfc4486b893777294310bdb
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Neuromorphic cognitive computing offers a bio-inspired means to approach the natural intelligence of biological neural systems in silicon integrated circuits. Typically, such circuits either reproduce biophysical neuronal dynamics in great detail as
Externí odkaz:
https://doaj.org/article/3b6f5474c7ee4bbe90a9224397903855
Autor:
Gert Cauwenbergh, Khatia S. Purim, Gisele Bordignon, Rosángela P. Lameira, Jan Van Cutsem, Flavio Queiroz-Telles, Jose N. Fillus
Publikováno v:
International Journal of Dermatology. 31:805-812
The efficacy and tolerability of itraconazole in chromoblastomycosis due to Fonsecaea pedrosoi were evaluated in a non-comparative open clinical trial in 19 Brazilian patients with histopathologically and mycologically proven active chromoblastomycos
Publikováno v:
Frontiers in Electronics, Vol 2 (2022)
With the rising need for on-body biometric sensing, the development of wearable electrophysiological sensors has been faster than ever. Surface electrodes placed on the skin need to be robust in order to measure biopotentials from the body reliably a
Externí odkaz:
https://doaj.org/article/004cac3c84494232b4364db3c2d2d734
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
We present an efficient and scalable partitioning method for mapping large-scale neural network models with locally dense and globally sparse connectivity onto reconfigurable neuromorphic hardware. Scalability in computational efficiency, i.e., amoun
Externí odkaz:
https://doaj.org/article/c7aaee9dbb7541f9807dfe2ecb0311a4
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Progress in computational neuroscience toward understanding brain function is challenged both by the complexity of molecular-scale electrochemical interactions at the level of individual neurons and synapses and the dimensionality of network dynamics
Externí odkaz:
https://doaj.org/article/64f8a1ae88d44d1f841ddbe9526d616e