Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Lieuwe B. Leene"'
Autor:
Andrea Mifsud, Alexander Serb, Timothy G. Constandinou, Lieuwe B. Leene, Christos Papavassiliou, Yihan Pan, Sachin Maheshwari, Jiaqi Wang, Themistoklis Prodromakis, Spyros Stathopoulos, Jiawei Shen
\normalsize The capability of in-memory computation, reconfigurability, low power operation as well as multistate operation of the memristive device deems them a suitable candidate for designing electronic circuits with a broad range of applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3a1ba30e3ae7758d2436e5c2ddd5a2
https://eprints.soton.ac.uk/452604/
https://eprints.soton.ac.uk/452604/
Autor:
Themistoklis Prodromakis, Andrea Mifsud, Jiaqi Wang, Spyros Stathopoulos, Timothy G. Constandinou, Sachin Maheshwari, Jiawei Shen, Christos Papavassiliou, Yihan Pan, Lieuwe B. Leene, Alexander Serb
Memristive technology has experienced explosive growth in the last decade, with multiple device structures being developed for a wide range of applications. However, transitioning the technology from the lab into the marketplace requires the developm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9566f7ef07f0c3237a5b242787b9a7ac
https://eprints.soton.ac.uk/452602/
https://eprints.soton.ac.uk/452602/
Publikováno v:
IEEE Journal of Solid-State Circuits. 53:2604-2613
This paper presents a low-power analog-to-time converter (ATC) for integrated bio-sensors. The proposed circuit facilitates the direct conversion of electrode bio-potential recordings into time-encoded digital pulses with high efficiency without prio
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 64:2655-2665
The instrumentation systems for implantable brain–machine interfaces represent one of the most demanding applications for ultra low-power analogue-to-digital-converters (ADC) to date. To address this challenge, this paper proposes a $\Delta \Sigma
Publikováno v:
ISCAS
IEEE International Symposium on Circuits and Systems (IEEE ISCAS)
IEEE International Symposium on Circuits and Systems (IEEE ISCAS)
This paper presents a novel analogue to digital converter using an oscillator-based loop filter for high-dynamic range bio-sensing applications. This is the first third-order feedforward ΔΣ modulator that strictly uses time domain integration for q
Publikováno v:
ISCAS
This paper presents an oscillator based potentiostat with switch-cap feedback for current sensing applications. In this work, a sigma-delta modulator is realized using current as input and charge as the feedback. The current input is integrated at th
Publikováno v:
ISCAS
This paper presents a 17 bit analogue-to-digital converter that incorporates mismatch and quantisation noise-shaping techniques into an energy-saving 10 bit successive approximation quantiser to increase the dynamic range by another 42 dB. We propose
Publikováno v:
BioCAS
IEEE Biomedical Circuits and Systems (BioCAS) Conference 2018
IEEE Biomedical Circuits and Systems (BioCAS) Conference 2018
This paper presents a compact direct digital wavelet synthesizer for extracting phase and amplitude data from cortical recordings using a feed-forward recurrent digital oscillator. These measurements are essential for accurately decoding local- field
Autor:
Katarzyna M. Szostak, Timothy G. Constandinou, Michal Maslik, Peilong Feng, Federico Mazza, Lieuwe B. Leene
Publikováno v:
IEEE International Symposium on Circuits and Systems
ISCAS
ISCAS
Next generation brain machine interfaces fundamentally need to improve the information transfer rate and chronic consistency when observing neural activity over a long period of time. Towards this aim, this paper presents a novel System-on-Chip (SoC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66b5b916695424b4fc00bfe41d6be06
http://hdl.handle.net/10044/1/62091
http://hdl.handle.net/10044/1/62091
Autor:
Lieuwe B. Leene, Michal Maslik, Peilong Feng, Katarzyna M. Szostak, Timothy G. Constandinou, Federico Mazza
Publikováno v:
IEEE Biomedical Circuits and Systems (BioCAS) Conference
BioCAS
BioCAS
This paper proposes a novel method for integrating CMOS microelectronics with microwire-based electrodes for next generation implantable brain machine interfaces. There is strong evidence to suggest that microwire-based electrodes outperform micromac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f81487ddafadae506e674975fbe181
http://hdl.handle.net/10044/1/51921
http://hdl.handle.net/10044/1/51921