ArticleNeuron2025
Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.
Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Article
- Article
- Synaptic Organization of the Primate Retina: Toward a Human Foveal Connectome.Annual review of vision science · 2026Review
- High-channel-count neural recording and stimulation platform with 5376 simultaneous recording channels.npj biomedical innovations · 2026Article
- Neuropixels 1536 Channel Quad Base probe reveals brain-wide communication underlying flexible sensorimotor sequences.bioRxiv : the preprint server for biology · 2026Article
- Laminar organization of cellular microcircuits modulating human interictal epileptiform discharges.Nature neuroscience · 2026Article
- Large-scale electrophysiology at single-spike resolution.Nature reviews. Neuroscience · 2026Review
- Fabrication of High-Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Sequential visual stimuli increase high frequency power in the visual cortex.Scientific reports · 2026Article
- A multimodal approach for visualizing and identifying electrophysiological cell types in vivo.Nature communications · 2026Article
- Large-scale single-neuron recording in the human cortex using an ultra-flexible electrode array.Nature communications · 2026Article
- Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- A topographical organization in the primary olfactory cortex.Nature communications · 2026Article
- Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Training Village: an open platform for continuous testing of rodents in cognitive tasks.bioRxiv : the preprint server for biology · 2026Article
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Optimal inter-electrode distances for maximizing single unit yield per electrode in neural recordings.Microsystems & nanoengineering · 2026Article
- Grand challenges for systems neuroscience: perspectives and opportunities.Frontiers in systems neuroscience · 2026Article
- Neuropixels reveal structure-function relationships in monkey V1bioRxiv : the preprint server for biology · 2025Article
- In vivo cell-type and brain region classification via multimodal contrastive learning.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
34 authors.
Funding
Abstract
To understand the neural basis of behavior, it is essential to sensitively and accurately measure neural activity at single-neuron and single-spike resolution. Extracellular electrophysiology delivers this, but it has biases in the neurons it detects and it imperfectly resolves their action potentials. To minimize these limitations, we developed a silicon probe with much smaller and denser recording sites than previous designs, called Neuropixels Ultra (NP Ultra). Using NP Ultra, neuronal yield in mouse visual cortex recordings increased by more than 2-fold. With ultra-high spatial resolution, we discovered that a feature of extracellular waveforms, the spatial extent or "footprint," distinguished axonal from somatic recordings. In addition, three genetically identified cortical cell types could be discriminated from one another with ∼80% accuracy and from other neurons with ∼85% accuracy. NP Ultra improves yield, detection of subcellular compartments, and cell type identification to enable a more powerful dissection of neural circuit activity during behavior.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.