Dimensionality reduction for large-scale neural recordings - PubMed

Most sensory, cognitive and motor functions depend on the interactions of many neurons. In recent years, there has been rapid development and increasing use of technologies for recording from large numbers of neurons, either sequentially or simultaneously. A key question is what scientific insight c …

Dimensionality reduction for large-scale neural recordings - PubMed Clipboard, Search History, and several other advanced features are temporarily unavailable. Skip to main page content The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely. Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation Search:

related reading

• Dimensionality reduction in neural data analysisxcorr.net
• Estimating the dimensionality of the manifold underlying multi-electrode neural recordingsncbi.nlm.nih.gov
• The Dimension Question: How High Does It Go?simonsfoundation.org
• Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models | PLOS Computational Biologyjournals.plos.org
• Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity - PMCpmc.ncbi.nlm.nih.gov
• Dimensionality Reduction for Neural RecordingsParadromicsparadromics.com
• 2205.08413.pdfarxiv.org
• POYO-1poyo-brain.github.io
• Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience | bioRxivbiorxiv.org
• https://io0.github.ioio0.github.io
• How Important Is Spike Sorting?simonsfoundation.org
• Neural manifolds: Latest buzzword or pathway to understand the brain?thetransmitter.org