
Connectors, Cans, And Coatings
12/23/20 • 110 min
Welcome back to Neurotech Pub!
In this episode, host and Paradromics CEO, Matt Angle, speaks with Stuart Cogan, Vanessa Tolosa, Thomas Stieglitz, and Loren Rieth about how to protect neural implants from the harsh environment of the body. This discussion is all about longevity and endurance, and, fittingly, it’s almost 2 hours long. Loren leaves early for a faculty meeting--wonder if his colleagues know that he came straight from the pub?
Check out full video with transcript here: https://www.paradromics.com/podcast/neurotech-pub-episode-3-connectors-cans-and-coatings
03:27 | UTD Neural Interfaces Lab
03:39 | EIC Labs
03:59 | Cogan’s highly-cited review paper
04:16 | Lawrence Livermore National Lab
04:56 | Rieth Lab at the Feinstein Institute
05:18 | Loren’s work with the Utah Array
05:39 | Human peripheral nerve stimulation
05:58 | Preclinical Vegus Nerve stimulation
06:11 | Stieglitz Lab
06:22 | Flexible Electrodes
06:41 | Long Lasting Electrodes
07:41 | Jerry Loeb: Materials Legend
08:29 | Phil Troyk
09:24 | North American Neuromodulation Society
10:44 | Melosh Lab at Stanford
12:53 | Packaging Development
17:02 | Helium Leak Test
19:01 | Work by Pancrazio
21:34 | Finetech-Brindley Stimulator
29:05 | Emerging technology @ University of Sydney
33:10 | Calvin and Hobbes
34:12 | Revolutionizing Prosthetics
35:00 | Canned Utah Array
35:35 | Flip-chip connecting
36:04 | Nick Donaldson: Mr. Clean
36:47 | Failure mode analysis
36:55 | Scaling up the Utah Array
37:54 | DARPA’s NESD Program
38:28 | High density Utah Array
39:52 | The Michigan Probe
40:00 | Vanessa’s work with Loren Frank
42:05 |
Welcome back to Neurotech Pub!
In this episode, host and Paradromics CEO, Matt Angle, speaks with Stuart Cogan, Vanessa Tolosa, Thomas Stieglitz, and Loren Rieth about how to protect neural implants from the harsh environment of the body. This discussion is all about longevity and endurance, and, fittingly, it’s almost 2 hours long. Loren leaves early for a faculty meeting--wonder if his colleagues know that he came straight from the pub?
Check out full video with transcript here: https://www.paradromics.com/podcast/neurotech-pub-episode-3-connectors-cans-and-coatings
03:27 | UTD Neural Interfaces Lab
03:39 | EIC Labs
03:59 | Cogan’s highly-cited review paper
04:16 | Lawrence Livermore National Lab
04:56 | Rieth Lab at the Feinstein Institute
05:18 | Loren’s work with the Utah Array
05:39 | Human peripheral nerve stimulation
05:58 | Preclinical Vegus Nerve stimulation
06:11 | Stieglitz Lab
06:22 | Flexible Electrodes
06:41 | Long Lasting Electrodes
07:41 | Jerry Loeb: Materials Legend
08:29 | Phil Troyk
09:24 | North American Neuromodulation Society
10:44 | Melosh Lab at Stanford
12:53 | Packaging Development
17:02 | Helium Leak Test
19:01 | Work by Pancrazio
21:34 | Finetech-Brindley Stimulator
29:05 | Emerging technology @ University of Sydney
33:10 | Calvin and Hobbes
34:12 | Revolutionizing Prosthetics
35:00 | Canned Utah Array
35:35 | Flip-chip connecting
36:04 | Nick Donaldson: Mr. Clean
36:47 | Failure mode analysis
36:55 | Scaling up the Utah Array
37:54 | DARPA’s NESD Program
38:28 | High density Utah Array
39:52 | The Michigan Probe
40:00 | Vanessa’s work with Loren Frank
42:05 |
Previous Episode

What We’ve Got Here Is Failure To Communicate
Welcome back to Neurotech Pub!
In this episode, host and Paradromics CEO, Matt Angle, speaks with Beata Jarosiewicz, Vikash Gilja, Sergey Stavisky, and Frank Willett about how brain computer interfaces can be used to restore communication in patients with tetraplegia. They take a deep dive into state of the art thought-to-text technology compared with the current state of speech decoding.
Check out full video with transcript here: https://www.paradromics.com/podcast/neurotech-pub-episode-2-what-weve-got-here-is-failure-to-communicate
1:49 Braingate Clinical Trial Program |
2:32 Beata’s New Job at Neuralink |
2:43 Stanford Neural Prosthetics Translational Laboratory |
2:53 Leigh Hochberg |
3:05 Andy Schwartz |
5:14 2020 BCI Award|
8:44 Subjective Experience of Control |
10:39 Closed Loop Calibration |
12:08 Animal Models for Prosthesis Development |
14:21 Keyboard Optimization |
15:33 Tablet PC Control Papers | See Also |
16:01 Palm Pilot Graffiti |
16:24 Frank’s Preprint on Handwriting |
17:40 Video Abstract on Frank’s Work |
21:38 Penfield and Boldrey 1937 |
22:04 A Quick, Lay Summary of Penfield’s Work |
24:21 Hand Knob |
26:43 Output-Null Neural State Space Dimensions |
34:23 Matt Kaufman’s Work |
38:29 Vikash’s work with Paul Nuyujukian |
39:07 Mark Churchland |
42:01 Review Paper by Eb Fetz |
44:18 Chang Lab at UCSF |
44:46 Robert Knight’s Group on Speech Decoding | Imagined Speech |
50:38 Speech Decoding in Hand Knob |
50:55 Phoneme Decoding |
52:48 Auditory Decoding in NHPs |
54:58 Moses et al., 2019|
55:12 Makin et al., 2020 |
1:07:11 Nir’s Paper on Error Signals |
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Next Episode

Trading Spaces // Dimensionality Reduction for Neural Recordings
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 |
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