Searched for: subject%3A%22compression%22
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Yan, Pumiao (author), Akhoundi, A. (author), Shah, Nishal P. (author), Tandon, Pulkit (author), Muratore, D.G. (author), Chichilnisky, E. J. (author), Murmann, Boris (author)
Future high-density and high channel count neural interfaces that enable simultaneous recording of tens of thousands of neurons will provide a gateway to study, restore and augment neural functions. However, building such technology within the bit-rate limit and power budget of a fully implantable device is challenging. The wired-OR...
journal article 2023
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Jang, Moon Hyung (author), Yu, Wei-Han (author), Lee, Changuk (author), Hays, Maddy (author), Wang, Pingyu (author), Vitale, Nick (author), Tandon, Pulkit (author), Chae, Youngcheol (author), Muratore, D.G. (author)
This paper presents a neural recording IC featuring lossy compression during digitization, thus preventing data deluge and enabling a compact active digital pixel design. The wired-OR-based compression discards unwanted baseline samples while allowing the reconstruction of spike samples. The IC features a 32x32 MEA with 36 μ m pixel pitch and...
conference paper 2023
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Yan, Pumiao (author), Shah, Nishal P. (author), Muratore, D.G. (author), Tandon, Pulkit (author), Chichilnisky, E.J. (author), Murmann, Boris (author)
This paper investigates the efficacy of a wired-OR compressive readout architecture for neural recording, which enables simultaneous data compression of action potential signals for high channel count electrode arrays. We consider a range of wiring configurations to assess the trade-offs between compression ratio and various task-specific signal...
conference paper 2022