Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Carolina Mora-Lopez"'
Autor:
Horacio Londoño‐Ramírez, Xiaohua Huang, Jordi Cools, Anna Chrzanowska, Clément Brunner, Marco Ballini, Luis Hoffman, Soeren Steudel, Cédric Rolin, Carolina Mora Lopez, Jan Genoe, Sebastian Haesler
Publikováno v:
Advanced Science, Vol 11, Iss 10, Pp n/a-n/a (2024)
Abstract Electrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial res
Externí odkaz:
https://doaj.org/article/bace9af9de7a4a26960ea58505828373
Autor:
Shiwei Wang, Marco Ballini, Xiaolin Yang, Chutham Sawigun, Jan-Willem Weijers, Dwaipayan Biswas, Nick Van Helleputte, Carolina Mora Lopez
Publikováno v:
IEEE Open Journal of the Solid-State Circuits Society, Vol 1, Pp 67-78 (2021)
This paper presents a scalable neural recording analog front-end architecture enabling simultaneous acquisition of action potentials, local field potentials, electrode DC offsets and stimulation artifacts without saturation. By combining a DC-coupled
Externí odkaz:
https://doaj.org/article/c040d51951d74eada46343f1d78310df
Autor:
Xiaolin Yang, Marco Ballini, Chutham Sawigun, Wen-Yang Hsu, Jan-Willem Weijers, Jan Putzeys, Carolina Mora Lopez
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:949-960
Autor:
Xiaohua Huang, Horacio Londono-Ramirez, Marco Ballini, Chris Van Hoof, Jan Genoe, Sebastian Haesler, Georges Gielen, Nick Van Helleputte, Carolina Mora Lopez
Publikováno v:
IEEE Journal of Solid-State Circuits. 57:3312-3323
Autor:
Eric M. Trautmann, Janis K. Hesse, Gabriel M. Stine, Ruobing Xia, Shude Zhu, Daniel J. O’Shea, Bill Karsh, Jennifer Colonell, Frank F. Lanfranchi, Saurabh Vyas, Andrew Zimnik, Natalie A. Steinmann, Daniel A. Wagenaar, Alexandru Andrei, Carolina Mora Lopez, John O’Callaghan, Jan Putzeys, Bogdan C. Raducanu, Marleen Welkenhuysen, Mark Churchland, Tirin Moore, Michael Shadlen, Krishna Shenoy, Doris Tsao, Barundeb Dutta, Timothy Harris
Publikováno v:
bioRxiv
High-density, integrated silicon electrodes have begun to transform systems neuroscience, by enabling large-scale neural population recordings with single cell resolution. Existing technologies, however, have provided limited functionality in nonhuma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c820776a5e2d93755b71e61e83e933d9
https://europepmc.org/articles/PMC10187172/
https://europepmc.org/articles/PMC10187172/
Autor:
Beatrice Miccoli, Carolina Mora Lopez, Erkuden Goikoetxea, Jan Putzeys, Makrina Sekeri, Olga Krylychkina, Shuo-Wen Chang, Andrea Firrincieli, Alexandru Andrei, Veerle Reumers, Dries Braeken
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Multi-electrode arrays, both active or passive, emerged as ideal technologies to unveil intricated electrophysiological dynamics of cells and tissues. Active MEAs, designed using complementary metal oxide semiconductor technology (CMOS), stand over p
Externí odkaz:
https://doaj.org/article/d123c1db94ce45b08491589c29fd9eb4
Autor:
Yingping Chen, Bernardo Tacca, Yunzhu Chen, Dwaipayan Biswas, Georges Gielen, Francky Catthoor, Marian Verhelst, Carolina Mora Lopez
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Autor:
Chris Van Hoof, Georges Gielen, Jan Craninckx, Beatrice Miccoli, Xiaohua Huang, Carolina Mora Lopez, Marco Ballini, Nick Van Helleputte, Shiwei Wang
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:804-808
An ultra-small-area, low-power analog front-end (AFE) for high-density neural recording is presented in this paper. It features an 11-bit incremental delta-sigma analog-to-digital converter (σ ADC) enhanced with an offset-rejecting event-driven inpu
Publikováno v:
2022 IEEE Asian Solid-State Circuits Conference (A-SSCC).
Autor:
Hosung Chun, Xiaolin Yang, Chris Van Hoof, Menglian Zhao, Xiaobo Wu, Carolina Mora Lopez, Nick Van Helleputte, Marco Ballini, Jiawei Xu
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 15:199-209
The recording of biopotential signals using techniques such as electroencephalography (EEG) and electrocardiography (ECG) poses important challenges to the design of the front-end readout circuits in terms of noise, electrode DC offset cancellation a