Mark J. Schnitzer
Cognitive Neuroscience · 2005–2019
A researcher in the Science corpus: 16 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 179 citations into it; #4,928 of 10,852 by trust here, #2,252 by citations
- Cellular and Molecular Neuroscience — 175 citations into it; #761 of 2,998 by trust here, #370 by citations
- Electrical and Electronic Engineering — 34 citations into it
- Artificial Intelligence — 18 citations into it
- Radiology, Nuclear Medicine and Imaging — 12 citations into it
- Signal Processing — 11 citations into it
- Computational Mathematics — 7 citations into it
- Natural Language Processing — 6 citations into it
Whom Mark J. Schnitzer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mark J. Schnitzer overall
Papers from Mark J. Schnitzer's perspective
Ordered by how strongly the researchers Mark J. Schnitzer trusts endorse each paper. Same corpus, a different order for every researcher.
- An Information-Maximization Approach to Blind Separation and Blind Deconvolution
- Reinforcement Learning: An Introduction
- Information Theory, Inference, and Learning Algorithms
- Millisecond-timescale, genetically targeted optical control of neural activity (Nature Neuroscience)
- Learning the parts of objects by non-negative matrix factorization
- Imaging large-scale neural activity with cellular resolution in awake, mobile mice. (Neuron)
- Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators (Nature Methods)
- Channelrhodopsin-2, a directly light-gated cation-selective membrane channel
- Speech recognition with deep recurrent neural networks
- Independent component analysis: algorithms and applications
Their papers
- Miniaturized integration of a fluorescence microscope (2011) — 1,047 citations
- Fiber-optic fluorescence imaging (2005) — 720 citations
- Improving FRET dynamic range with bright green and red fluorescent proteins (2012) — 768 citations
- Automated analysis of cellular signals from large-scale calcium imaging data. (2009) — 705 citations
- Nanotools for Neuroscience and Brain Activity Mapping (2013) — 342 citations
- Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019) — 183 citations
- Diametric neural ensemble dynamics in parkinsonian and dyskinetic states (2018) — 299 citations
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) — 301 citations
- Neural ensemble dynamics underlying a long-term associative memory (2017) — 301 citations
- Cerebellar granule cells encode the expectation of reward (2017) — 460 citations
- Genetically encoded indicators of neuronal activity (2016) — 619 citations
- Entorhinal Cortical Ocean Cells Encode Specific Contexts and Drive Context-Specific Fear Memory. (2015) — 150 citations
- Impermanence of dendritic spines in live adult CA1 hippocampus (2015) — 349 citations
- Distinct speed dependence of entorhinal island and ocean cells, including respective grid cells (2015) — 122 citations
- Time-lapse imaging of disease progression in deep brain areas using fluorescence microendoscopy (2011) — 246 citations
- Next-Generation Optical Technologies for Illuminating Genetically Targeted Brain Circuits (2006) — 749 citations