@article {68607,
	title = {Large-scale brain-wide neural recording in nonhuman primates},
	journal = {bioRxiv},
	year = {2023},
	month = {2023 Feb 04},
	abstract = {<p>High-density, integrated silicon electrodes have begun to transform systems neuroscience, by enabling large-scale neural population recordings with single cell resolution. Existing technologies, however, have provided limited functionality in nonhuman primate species such as macaques, which offer close models of human cognition and behavior. Here, we report the design, fabrication, and performance of Neuropixels 1.0-NHP, a high channel count linear electrode array designed to enable large-scale simultaneous recording in superficial and deep structures within the macaque or other large animal brain. These devices were fabricated in two versions: 4416 electrodes along a 45 mm shank, and 2496 along a 25 mm shank. For both versions, users can programmably select 384 channels, enabling simultaneous multi-area recording with a single probe. We demonstrate recording from over 3000 single neurons within a session, and simultaneous recordings from over 1000 neurons using multiple probes. This technology represents a significant increase in recording access and scalability relative to existing technologies, and enables new classes of experiments involving fine-grained electrophysiological characterization of brain areas, functional connectivity between cells, and simultaneous brain-wide recording at scale.</p>
},
	doi = {10.1101/2023.02.01.526664},
	url = {https://doi.org/10.1101/2023.02.01.526664},
	author = {Eric M. Trautmann and Janis K. Hesse and Gabriel M. Stine and Ruobing Xia and Shude Zhu and Daniel J. O{\textquoteright}Shea and Bill Karsh and Jennifer Colonell and Frank F. Lanfranchi and Saurabh Vyas and Andrew Zimnik and Natalie A. Steinmann and Daniel A. Wagenaar and Alexandru Andrei and Carolina Mora Lopez and John O{\textquoteright}Callaghan and Jan Putzeys and Bogdan C. Raducanu and Marleen Welkenhuysen and Mark Churchland and Tirin Moore and Michael Shadlen and Krishna Shenoy and Doris Tsao and Barundeb Dutta and Timothy Harris}
}
@article {68917,
	title = {Pinpoint: trajectory planning for multi-probe electrophysiology and injections in an interactive web-based 3D environment},
	journal = {bioRxiv},
	year = {2023},
	month = {2023 Jul 15},
	abstract = {<p>Targeting deep brain structures during electrophysiology and injections requires intensive training and expertise. Even with experience, researchers often can{\textquoteright}t be certain that a probe is placed precisely in a target location and this complexity scales with the number of simultaneous probes used in an experiment. Here, we present Pinpoint, open-source software that allows for interactive exploration of stereotaxic insertion plans. Once an insertion plan is created, Pinpoint allows users to save these online and share them with collaborators. 3D modeling tools allow users to explore their insertions alongside rig and implant hardware and ensure plans are physically possible. Probes in Pinpoint can be linked to electronic micro-manipulators allowing real-time visualization of current brain region targets alongside neural data. In addition, Pinpoint can control manipulators to automate and parallelize the insertion process. Compared to previously available software, Pinpoint{\textquoteright}s easy access through web browsers, extensive features, and real-time experiment integration enable more efficient and reproducible recordings.</p>
},
	doi = {10.1101/2023.07.14.548952},
	url = {https://doi.org/10.1101/2023.07.14.548952},
	author = {Daniel Birman and Kenneth J. Yang and Steven J. West and Bill Karsh and Yoni Browning and the International Brain Laboratory and Joshua H. Siegle and Nicholas A. Steinmetz}
}
