R
Rikky Muller
Researcher at University of California, Berkeley
Publications - 64
Citations - 1920
Rikky Muller is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 15, co-authored 52 publications receiving 1341 citations. Previous affiliations of Rikky Muller include University of Melbourne & University of California, San Francisco.
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Journal ArticleDOI
A Minimally Invasive 64-Channel Wireless μECoG Implant
Rikky Muller,Hanh-Phuc Le,Wen Li,Peter Ledochowitsch,Simone Gambini,Toni Bjorninen,Aaron C. Koralek,Jose M. Carmena,Michel M. Maharbiz,Elad Alon,Jan M. Rabaey +10 more
TL;DR: A microsystem based on electrocorticography (ECoG) that overcomes difficulties, enabling chronic recording and wireless transmission of neural signals from the surface of the cerebral cortex and a simultaneous 3× improvement in power efficiency over the state of the art.
Journal ArticleDOI
A wireless millimetre-scale implantable neural stimulator with ultrasonically powered bidirectional communication.
David K. Piech,David K. Piech,Benjamin C. Johnson,Benjamin C. Johnson,Konlin Shen,Konlin Shen,Mohammad Meraj Ghanbari,Ka Yiu Li,Ryan Neely,Kay Joshua,Jose M. Carmena,Michel M. Maharbiz,Rikky Muller +12 more
TL;DR: A wireless, leadless and battery-free implantable neural stimulator that is 1.7-mm 3 and that incorporates a piezoceramic transducer, an energy-storage capacitor and an integrated circuit that allows for repeatable stimulation across a range of physiological responses is described.
Journal ArticleDOI
A 0.013 ${\hbox {mm}}^{2}$ , 5 $\mu\hbox{W}$ , DC-Coupled Neural Signal Acquisition IC With 0.5 V Supply
TL;DR: An area-efficient neural signal-acquisition system that uses a digitally intensive architecture to reduce system area and enable operation from a 0.5 V supply, alleviating system-level complexity is presented.
Proceedings ArticleDOI
A 0.013mm 2 5μW DC-coupled neural signal acquisition IC with 0.5V supply
TL;DR: This work presents a neural interface in 65nm CMOS and operating at a 0.5V supply that obtains performance comparable or superior to state-of-the-art systems in a silicon area over 3× smaller by using a scalable architecture that avoids on-chip passives and takes advantage of high-density logic.
Journal ArticleDOI
A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates
Andy Zhou,Samantha R Santacruz,Samantha R Santacruz,Benjamin C. Johnson,George Alexandrov,Ali Moin,Fred Burghardt,Jan M. Rabaey,Jose M. Carmena,Jose M. Carmena,Rikky Muller +10 more
TL;DR: An artefact-free wireless neuromodulation device that enables research applications requiring high-throughput data streaming, low-latency biosignal processing, and simultaneous sensing and stimulation and may help advance neuroscientific discovery and preclinical investigations of stimulation-based therapeutic interventions.