Neurotech Pub

In this episode 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. Guests: Konrad Kording, Chethan Pandarinath, Carsen Stringer, and Vikash Gilja.

Show Notes

Welcome back to Neurotech Pub!

In this episode, 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.

Check out full video with transcript here: https://www.paradromics.com/podcast/neurotech-pub-episode-4-trading-spaces-dimensionality-reduction-for-neural-recordings

00:40 | Dimensionality Intro
04:42 | Podcast Start
07:50 | Janelia Research Campus
08:56 | Translational Neuroengineering Lab
09:35 | Stanford Neural Prosthetics Translational Lab
10:10 | Shenoy Lab
12:00 | Deep Brain Stimulation
12:57 | Chethan’s work on retinal prosthetics
15:00 | Immunology
15:20 | Jonathan Ruben
15:30 | Byron Yu
15:41 | Gatsby Computational Neuroscience Unit
18:00 | Joshua Tenenbaum
18:30 | Kording Lab at UPenn
18:46 | Neuromatch Academy
19:47 | Neuromatch Academy Q&A
21:21 | Dimensionality reduction for neural recordings
26:22 | The Curse of Dimensionality
30:11 | Principal Component Analysis
32:20 | Neural Firing as a Poisson Process
33:13 | Shared Variance Component Analysis
35:18 | Cross validation in large scale recording
38:29 | A theory of multineuronal dimensionality
39:10 | Random projections explained with visuals
42:24 | Correcting a reductionist bias
48:30 | Noise Correlations
49:35 | More on Noise Correlations
57:40 | LFADS
01:01:51 | What is a stationary process?
01:06:02 | Inferring single-trial neural population dynamics
01:06:46 | Task Specificity
01:07:28 | Lee Miller
01:08:18 | “I don’t know, I might be wrong”
01:13:16 | Neural Constraints on Learning
01:15:00 | A recent exciting paper from Yu and Batista Labs
01:19:01 | Hume on Causation

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What is Neurotech Pub?

Paradromics Founder and CEO Matt Angle hosts an informal salon with some of the most influential figures in neurotechnology.