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Jonathan Appavoo. My interests are in pursuing future programmable smart machines that practically combine programmable logic based computation with neural inspired mechanisms. Combining my experience in traditional computer architecture and operating systems, and an interest in machine learning and neural mechanisms, my work seeks to explore if it is possible to construct a system that exploits the general ability to learn through the counting, correlating, and memorizing of occurrences of events, to fast-forward a programmable computer. |
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Schuyler Eldridge. I am a PhD candidate in the Electrical and Computer Engineering Department at Boston University. I'm working jointly with the Cognitive and Neural Sciences department to develop high-speed implementations of optic flow algorithms in Field Programmable Gate Arrays and silicon hardware. |
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Timothy Gardner. I study how neural systems learn to produce and to perceive temporal patterns. Using minimally invasive electrodes, I track neural codes in songbirds as they change in the process of song learning. In conjunction I am working to develop a time frequency analysis inspired by neural auditory processing. This method employs adaptive filters to emphasize a long-range coherence and simplicity of form that is useful for various technological applications. |
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Isao Hayashi. I am a Professor in the Faculty of Informatics, Kansai University, Takatsuki, Osaka 569-1095, JAPAN. My research interests include visual models, neural networks, fuzzy systems, neuro-hybrid robot, and brain-computer interface. |
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Ajay Joshi. My research focuses on developing high-performance and low-power hardware designs based on neuromorphic computing paradigms. In particular, I am exploring the use learning-based computation models to improve the performance and power of current and future VLSI system. I am investigating both digital/analog CMOS design techniques in above and sub-threshold regimes. |
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Jeffrey Markowitz. I am a PhD candidate in Cognitive and Neural Systems working in the Laboratory of Neural Circuit Formation under the supervision of Timothy Gardner. Using computational and experimental techniques developed in the lab, I am studying the neural substrate of vocal learning in songbirds.
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Mahmoud Zangeneh. I am a PhD candidate at the Department of Electrical and Computer Engineering, Boston University. My research interests include ultra-low power sub-threshold design techniques, reliability challenges in CMOS design, adaptive body biasing for evolvable hardwares and neuromorphic applications, low voltage and low power switched-capacitor circuits and analog/RFIC design for wireless communications. |