R
Rahul Sarpeshkar
Researcher at Dartmouth College
Publications - 171
Citations - 10584
Rahul Sarpeshkar is an academic researcher from Dartmouth College. The author has contributed to research in topics: Electronic circuit & Operational amplifier. The author has an hindex of 44, co-authored 168 publications receiving 9935 citations. Previous affiliations of Rahul Sarpeshkar include California Institute of Technology & Bell Labs.
Papers
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Journal ArticleDOI
Large-scale complementary integrated circuits based on organic transistors
Brian Keith Crone,Ananth Dodabalapur,Y. Y. Lin,Robert William Filas,Zhenan Bao,A. LaDuca,Rahul Sarpeshkar,Rahul Sarpeshkar,Howard E. Katz,Wenjie Li +9 more
TL;DR: It is shown that such an approach can realize much larger scales of integration (in the present case, up to 864 transistors per circuit) and operation speeds of ∼1 kHz in clocked sequential complementary circuits.
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Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
Richard H. R. Hahnloser,Rahul Sarpeshkar,Rahul Sarpeshkar,Misha Mahowald,Rodney J. Douglas,Hyunjune Sebastian Seung +5 more
TL;DR: The model of cortical processing is presented as an electronic circuit that emulates this hybrid operation, and so is able to perform computations that are similar to stimulus selection, gain modulation and spatiotemporal pattern generation in the neocortex.
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Analog versus digital: extrapolating from electronics to neurobiology
TL;DR: The results suggest that it is likely that the brain computes in a hybrid fashion and that an underappreciated and important reason for the efficiency of the human brain, which consumes only 12 W, is the hybrid and distributed nature of its architecture.
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An Energy-Efficient Micropower Neural Recording Amplifier
TL;DR: The amplifier appears to be the lowest power and most energy-efficient neural recording amplifier reported to date and the low-noise design techniques that help the neural amplifier achieve input-referred noise that is near the theoretical limit of any amplifier using a differential pair as an input stage.
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Feedback Analysis and Design of RF Power Links for Low-Power Bionic Systems
M.W. Baker,Rahul Sarpeshkar +1 more
TL;DR: This paper presents a feedback-loop technique for analyzing and designing RF power links for transcutaneous bionic systems, i.e., between an external RF coil and an internal RF coil implanted inside the body, and proposes an optimal loading condition that maximizes the energy efficiency of the link.