Zobrazeno 1 - 10
of 346
pro vyhledávání: '"Etienne‑Cummings, Ralph"'
The promise of increasing channel counts in high density ($> 10^4$) neural Microelectrode Arrays (MEAs) for high resolution recording comes with the curse of developing faster characterization strategies for concurrent acquisition of multichannel ele
Externí odkaz:
http://arxiv.org/abs/2403.07758
Accurately capturing dynamic scenes with wide-ranging motion and light intensity is crucial for many vision applications. However, acquiring high-speed high dynamic range (HDR) video is challenging because the camera's frame rate restricts its dynami
Externí odkaz:
http://arxiv.org/abs/2310.16139
Autor:
Chen, Zhaoqi, Etienne-Cummings, Ralph
A neuromorphic SLAM system shows potential for more efficient implementation than its traditional counterpart. We demonstrate a mixed-mode implementation for spatial encoding neurons including theta cells, vector cells, and place cells. Together, the
Externí odkaz:
http://arxiv.org/abs/2310.10790
Autor:
De Silva, Ashwin, Ramesh, Rahul, Ungar, Lyle, Shuler, Marshall Hussain, Cowan, Noah J., Platt, Michael, Li, Chen, Isik, Leyla, Roh, Seung-Eon, Charles, Adam, Venkataraman, Archana, Caffo, Brian, How, Javier J., Kebschull, Justus M, Krakauer, John W., Bichuch, Maxim, Kinfu, Kaleab Alemayehu, Yezerets, Eva, Jayaraman, Dinesh, Shin, Jong M., Villar, Soledad, Phillips, Ian, Priebe, Carey E., Hartung, Thomas, Miller, Michael I., Dey, Jayanta, Ningyuan, Huang, Eaton, Eric, Etienne-Cummings, Ralph, Ogburn, Elizabeth L., Burns, Randal, Osuagwu, Onyema, Mensh, Brett, Muotri, Alysson R., Brown, Julia, White, Chris, Yang, Weiwei, Rusu, Andrei A., Verstynen, Timothy, Kording, Konrad P., Chaudhari, Pratik, Vogelstein, Joshua T.
Learning is a process which can update decision rules, based on past experience, such that future performance improves. Traditionally, machine learning is often evaluated under the assumption that the future will be identical to the past in distribut
Externí odkaz:
http://arxiv.org/abs/2201.07372
The ability to attend to salient regions of a visual scene is an innate and necessary preprocessing step for both biological and engineered systems performing high-level visual tasks (e.g. object detection, tracking, and classification). Computationa
Externí odkaz:
http://arxiv.org/abs/2002.11898
Publikováno v:
In Vision Research November 2023 212
Autor:
Jie, Zhang, Newman, Jonathan P., Wang, Xiao, Thakur, Chetan Singh, Rattray, John, Etienne-Cummings, Ralph, Wilson, Matthew A.
We demonstrated a CMOS imaging system that adapts each pixel's exposure and sampling rate to capture high dynamic range (HDR) videos. The system consist of a custom designed image sensor with pixel-wise exposure configurability and a real-time pixel
Externí odkaz:
http://arxiv.org/abs/1906.10045
Autor:
Thakur, Chetan Singh, Molin, Jamal, Cauwenberghs, Gert, Indiveri, Giacomo, Kumar, Kundan, Qiao, Ning, Schemmel, Johannes, Wang, Runchun, Chicca, Elisabetta, Hasler, Jennifer Olson, Seo, Jae-sun, Yu, Shimeng, Cao, Yu, van Schaik, André, Etienne-Cummings, Ralph
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evo
Externí odkaz:
http://arxiv.org/abs/1805.08932
Akademický článek
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Publikováno v:
Neural Networks and Learning Systems, IEEE Transactions on, vol.24, no.8, pp.1239-1252, 2013
Recognition of objects in still images has traditionally been regarded as a difficult computational problem. Although modern automated methods for visual object recognition have achieved steadily increasing recognition accuracy, even the most advance
Externí odkaz:
http://arxiv.org/abs/1511.00100