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Nicholas A. Steinmetz

Nicholas A. Steinmetz

University of Washington
United States

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Artificial intelligence
  • Neuron

His primary areas of study are Neuroscience, Sensory system, Communication channel, Visual cortex and Visual perception. His work on Neuroplasticity and Stimulation as part of his general Neuroscience study is frequently connected to Forebrain, Monocular deprivation and Long-term potentiation, thereby bridging the divide between different branches of science. His work deals with themes such as Nanotechnology and Temporal resolution, which intersect with Sensory system.

His Communication channel study spans across into subjects like Local field potential, CMOS, Multiplexing, Voltage and Optoelectronics. His study in Visual cortex is interdisciplinary in nature, drawing from both Stimulus, Sensory cortex, Cognitive psychology and Neuron. He combines subjects such as Visual search and Saccadic masking with his study of Visual perception.

His most cited work include:

  • Fully integrated silicon probes for high-density recording of neural activity (733 citations)
  • Fully integrated silicon probes for high-density recording of neural activity (733 citations)
  • Fully integrated silicon probes for high-density recording of neural activity (733 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Neuroscience, Visual cortex, Sensory system, Visual perception and Stimulus. His Visual cortex research is multidisciplinary, incorporating elements of Superior colliculus, Photic Stimulation and Electrophysiology. His research combines Optoelectronics and Sensory system.

In his research, Task engagement is intimately related to Visually guided, which falls under the overarching field of Visual perception. His Stimulus research is multidisciplinary, incorporating perspectives in High dimensional, Statistical physics, Principal component analysis and Optogenetics. The various areas that he examines in his Mouse cortex study include Motor cortex and Monocular.

He most often published in these fields:

  • Neuroscience (88.51%)
  • Visual cortex (50.57%)
  • Sensory system (45.98%)

What were the highlights of his more recent work (between 2019-2021)?

  • Neuroscience (88.51%)
  • Visual cortex (50.57%)
  • Sensory system (45.98%)

In recent papers he was focusing on the following fields of study:

Nicholas A. Steinmetz spends much of his time researching Neuroscience, Visual cortex, Sensory system, High density and Biomedical engineering. In general Neuroscience, his work in Cognition, Neocortex, Neural activity and Stimulus is often linked to Top-down and bottom-up design linking many areas of study. His studies in Neural activity integrate themes in fields like Functional specialization, Receptive field and Attentional modulation.

Nicholas A. Steinmetz has included themes like Dorsal cortex, Sensory cortex, Stimulus modality and Task engagement in his Stimulus study. His work investigates the relationship between Task engagement and topics such as Arousal that intersect with problems in Synapse, Optic tract, Retina, Retinal ganglion and Superior colliculus. The various areas that he examines in his Sensory system study include Visual perception and Cortex.

Between 2019 and 2021, his most popular works were:

  • A perceptual decision requires sensory but not action coding in mouse cortex (26 citations)
  • Arousal Modulates Retinal Output. (21 citations)
  • Why not record from every electrode with a CMOS scanning probe (12 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fully integrated silicon probes for high-density recording of neural activity

James J Jun;Nicholas A Steinmetz;Nicholas A Steinmetz;Nicholas A Steinmetz;Joshua H Siegle;Daniel J Denman.
Nature (2017)

1191 Citations

Spontaneous behaviors drive multidimensional, brainwide activity.

Carsen Stringer;Marius Pachitariu;Nicholas Steinmetz;Charu Bai Reddy.
Science (2019)

656 Citations

Diverse coupling of neurons to populations in sensory cortex

Michael Okun;Michael Okun;Michael Okun;Nicholas A. Steinmetz;Lee Cossell;Lee Cossell;M. Florencia Iacaruso;M. Florencia Iacaruso.
Nature (2015)

385 Citations

Top-down control of visual attention.

Behrad Noudoost;Mindy H Chang;Nicholas A Steinmetz;Tirin Moore.
Current Opinion in Neurobiology (2010)

358 Citations

Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels

Pachitariu M;Steinmetz N;Kadir S;Carandini M.
bioRxiv (2016)

286 Citations

Mechanisms of sleep-dependent consolidation of cortical plasticity.

Sara J. Aton;Julie Seibt;Michelle Dumoulin;Sushil K. Jha;Sushil K. Jha.
Neuron (2009)

235 Citations

Distributed coding of choice, action and engagement across the mouse brain

Nicholas A. Steinmetz;Peter Zatka-Haas;Matteo Carandini;Kenneth D. Harris.
Nature (2019)

227 Citations

Fast and accurate spike sorting of high-channel count probes with KiloSort

Marius Pachitariu;Nicholas A. Steinmetz;Shabnam N. Kadir;Matteo Carandini.
neural information processing systems (2016)

223 Citations

High-dimensional geometry of population responses in visual cortex.

Carsen Stringer;Marius Pachitariu;Nicholas A. Steinmetz;Nicholas A. Steinmetz;Matteo Carandini.
Nature (2019)

201 Citations

Visual space is compressed in prefrontal cortex before eye movements

Marc Zirnsak;Nicholas A. Steinmetz;Behrad Noudoost;Kitty Z. Xu.
Nature (2014)

179 Citations

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