Nicholas A. Steinmetz
Cognitive Neuroscience · 2016–2021
A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 89 citations into it; #8,695 of 10,852 by trust here, #2,652 by citations
- Cellular and Molecular Neuroscience — 68 citations into it; #2,288 of 2,998 by trust here, #891 by citations
- Artificial Intelligence — 18 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Biophysics — 9 citations into it
Whom Nicholas A. Steinmetz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cyrille Rossant
- Michael Z. Lin
- Shabnam N. Kadir
- Marius Pachitariu
- Darrell A. Henze
- Kenneth D. Harris
- György Buzsáki
- C. Stringer
- Dan F. M. Goodman
- Alex Rodriguez
Who trusts Nicholas A. Steinmetz overall
Papers from Nicholas A. Steinmetz's perspective
Ordered by how strongly the researchers Nicholas A. Steinmetz trusts endorse each paper. Same corpus, a different order for every researcher.
- Large-scale recording of neuronal ensembles (Nature Neuroscience)
- An Analysis of Single-Layer Networks in Unsupervised Feature Learning
- High-dimensional cluster analysis with the Masked EM Algorithm (Neural Computation)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. (Journal of Neurophysiology)
- Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. (Journal of Neurophysiology)
- How does the brain solve visual object recognition?
- Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
- Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. (Journal of Neurophysiology)
- Whole-brain functional imaging at cellular resolution using light-sheet microscopy (Nature Methods)
Their papers
- Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings (2020) — 1,064 citations
- Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels (2016) — 668 citations
- Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity (2021)
- Distributed coding of choice, action, and engagement across the mouse brain (2019) — 773 citations
- Spontaneous Behaviors Drive Multidimensional, Brain-wide Activity (2019) — 902 citations
- Challenges and opportunities for large-scale electrophysiology with Neuropixels probes (2018) — 318 citations
- High-dimensional geometry of population responses in visual cortex (2018) — 647 citations
- Fully Integrated Silicon Probes for High-Density Recording of Neural Activity (2017) — 2,007 citations
- Fast and accurate spike sorting of high-channel count probes with KiloSort (2016) — 451 citations