Paradromics

In this episode, friend of the podcast Vikash Gilja reprises his role as Vikash Gilja. We are also joined by Konrad Kording, Chethan Pandarinath, and Carsen Stringer. We talk about how dimensionality reduction is used to better understand large scale neural recordings. This episode is fairly technical, but it contains many great references if you are interested in learning more. We open with a brief explainer video by Paradromics’ own Aditya Singh.

Dimensionality Reduction for Neural RecordingsParadromics Clinical Study Dimensionality Reduction for Neural Recordings Feb 18, 2021 --> --> Or listen here on Apple Podcasts . In this episode, friend of the podcast Vikash Gilja reprises his role as Vikash Gilja. We are also joined by Konrad Kording, Chethan Pandarinath , and Carsen Stringer . We talk about how dimensionality reduction is used to better understand large scale neural recordings. This episode is fairly technical, but it contains many great references if you are interested in learning more. We open with a brief explainer video by

related reading

• Dimensionality reduction for large-scale neural recordings - PubMedpubmed.ncbi.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
• All things neural distribution alignment | neuralignnerdslab.github.io
• POYO-1poyo-brain.github.io
• Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity - PMCpmc.ncbi.nlm.nih.gov
• On neural scaling and the quanta hypothesisericjmichaud.com
• How we collected 10,000 hours of neuro-language data in our basement - Conduitcondu.it
• Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience | bioRxivbiorxiv.org
• https://io0.github.ioio0.github.io
• Visualizing Neural Networks with the Grand Tourdistill.pub
• How Important Is Spike Sorting?simonsfoundation.org