Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.
TL;DR: A system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal–oxide–semiconductor high-density microelectrode array (MEA) to provide a “knob” to tune information processing in the network.
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Abstract: We present a system to artificially correlate the spike timing between sets of arbitrary neurons that was interfaced to a complementary metal oxide semiconductor (CMOS) high‐density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatiotemporal patterns of recorded action potentials and is capable of delivering sub‐millisecond closed‐loop feedback of electrical stimulation upon trigger events in real‐time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a “knob” to tune information processing in the network.
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Citations
Revealing neuronal function through microelectrode array recordings
Marie Engelene J. Obien,Kosmas Deligkaris,Kosmas Deligkaris,Torsten Bullmann,Douglas J. Bakkum,Urs Frey,Urs Frey,Urs Frey +7 more
TL;DR: The ongoing advancements in microelectrode technology are introduced, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry.
Tools for probing local circuits: High-density silicon probes combined with optogenetics
György Buzsáki,Eran Stark,Antal Berényi,Dion Khodagholy,Daryl R. Kipke,Euisik Yoon,Kensall D. Wise +6 more
TL;DR: The current state-of-the-art in electrophysiological recording methods, combined with optogenetic perturbation of identified individual neurons, are highlighted and topics where near-term improvements are possible and needed are discussed.
354
Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses
Shanna L. Resendez,Josh H Jennings,Randall L. Ung,Vijay Mohan K. Namboodiri,Zhe Charles Zhou,James M. Otis,Hiroshi Nomura,Jenna A. McHenry,Oksana Kosyk,Garret D. Stuber +9 more
TL;DR: These limitations can be circumvented by using miniature, integrated microscopes in conjunction with an implantable microendoscopic lens to guide light into and out of the brain, thus permitting optical access to deep brain (or superficial) neural ensembles during naturalistic behaviors.
High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
Jan Müller,Marco Ballini,Paolo Livi,Yihui Chen,Milos Radivojevic,Amir Shadmani,Vijay Viswam,Ian L. Jones,Michele Fiscella,Roland Diggelmann,Alexander Stettler,Urs Frey,Douglas J. Bakkum,Andreas Hierlemann +13 more
TL;DR: A CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks, and is demonstrated for large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.
Parameters for burst detection
Douglas J. Bakkum,Milos Radivojevic,Urs Frey,Felix Franke,Andreas Hierlemann,Hirokazu Takahashi +5 more
TL;DR: This work broadly catalogs existing approaches and presents a new approach requiring the selection of only a single parameter: the number of spikes N comprising the smallest burst to consider, allowing identification and analysis of a greater range of neuronal and network dynamics.
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