@article {68936, title = {Multi-day neuron tracking in high-density electrophysiology recordings using earth mover{\textquoteright}s distance}, journal = {eLife}, year = {2024}, month = {2024-07-10}, abstract = {

Accurate tracking of the same neurons across multiple days is crucial for studying changes in neuronal activity during learning and adaptation. Advances in high-density extracellular electrophysiology recording probes, such as Neuropixels, provide a promising avenue to accomplish this goal. Identifying the same neurons in multiple recordings is, however, complicated by non-rigid movement of the tissue relative to the recording sites (drift) and loss of signal from some neurons. Here, we propose a neuron tracking method that can identify the same cells independent of firing statistics, that are used by most existing methods. Our method is based on between-day non-rigid alignment of spike-sorted clusters. We verified the same cell identity in mice using measured visual receptive fields. This method succeeds on datasets separated from 1 to 47 days, with an 84\% average recovery rate.

}, doi = {10.7554/eLife.92495.3}, url = {https://doi.org/10.7554/eLife.92495.3}, author = {Augustine Xiaoran Yuan and Jennifer Colonell and Anna Lebedeva and Adam Charles and Timothy Harris} } @article {68647, title = {Brain-wide neural activity underlying memory-guided movement}, journal = {bioRxiv}, year = {2023}, month = {2023 Mar 02}, abstract = {

Behavior requires neural activity across the brain, but most experiments probe neurons in a single area at a time. Here we used multiple Neuropixels probes to record neural activity simultaneously in brain-wide circuits, in mice performing a memory-guided directional licking task. We targeted brain areas that form multi-regional loops with anterior lateral motor cortex (ALM), a key circuit node mediating the behavior. Neurons encoding sensory stimuli, choice, and actions were distributed across the brain. However, in addition to ALM, coding of choice was concentrated in subcortical areas receiving input from ALM, in an ALM-dependent manner. Choice signals were first detected in ALM and the midbrain, followed by the thalamus, and other brain areas. At the time of movement initiation, choice-selective activity collapsed across the brain, followed by new activity patterns driving specific actions. Our experiments provide the foundation for neural circuit models of decision-making and movement initiation.

}, doi = {10.1101/2023.03.01.530520}, url = {https://doi.org/10.1101/2023.03.01.530520}, author = {Susu Chen and Yi Liu and Ziyue Wang and Jennifer Colonell and Liu D. Liu and Han Hou and Nai-Wen Tien and Tim Wang and Timothy Harris and Shaul Druckmann and Nuo Li and Karel Svoboda} } @article {68607, title = {Large-scale brain-wide neural recording in nonhuman primates}, journal = {bioRxiv}, year = {2023}, month = {2023 Feb 04}, abstract = {

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.

}, 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} }