Neurotech Podcast

Neurotech Podcast

Loup Ventures

In this podcast, we dive into Neurotech and the people working to advance the technology. We host the neurotech researchers and entrepreneurs building the technology, and hear the stories of people benefiting from neurotech advancements.

Categorias: Tecnología

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Vikash Gilja is an assistant professor at UCSD, where he researchers brain-machine interfaces. Dr. Gilja is an advisor to Paradromics. He holds a Ph.D. in computer science from Stanford University, an M.Eng and B.S. in EECS from MIT, and a B.S. in brain and cognitive sciences from MIT.
Rob Edgington is the head of AI at Paradromics. He holds a Ph.D. in brain-machine interfaces from UCL, and an M.Phys in physics from the University of Oxford.
Konrad Kording is a full professor at the University of Pennsylvania, where he works on data problems in neuroscience. He holds a Ph.D. in physics from ETH Zurich.
Top 3 Takeaways

* Basic neuroscience and neural engineering can and should co-evolve, much the same as physics and electrical engineering.
* More granular understandings from neuroscience help inform machine learning models applied in neurotechnology.
* Speech prostheses are a promising area for modern BMIs.


Show Notes

* [1:10] Rob’s introduction.
* [1:24] Konrad’s introduction.
* [1:35] Vikash’s introduction.
* [1:47] Avery’s introduction.
* [2:05] Neuroscience vs. neurotechnology.
* [2:55] Basic science and causality.
* [3:35] Definition of causality.
* [6:10] Closed-loops require causal models.
* [8:15] Visual system as closing the loop.
* [9:55] Electrical engineering is an analogy to neural engineering.
* [12:20] Modern BMI devices.
* [13:00] More data means more degrees of freedom.
* [15:15] Distributed recordings.
* [19:40] Data processing constraints in BMI.
* [20:00] Ontology refinement.
* [22:35] Timescale of tool development.
* [23:45] Future-proofing a BMI.
* [25:00] On-chip processing.
* [26:00] Evolution of BMIs.
* [27:15] Industry is good for integrating engineering constraints.
* [29:30] Estimating intended speech.
* [30:20] Neurotech for locked-in patients.
* [32:30] Visual communication.
* [34:00] ML vs. DL in neurotech.
* [37:00] Better models are inspired by basic science.
* [38:35] Hiring in neurotechnology.

Selected Links

* Paradromics
* The Neurotechnology Age – Matt Angle, CEO Paradromics

Related Podcasts

* 010 – Matt Angle
* 026 – Gordon Wilson
* 027 – Marc Ferro

Disclaimer

Episodios anteriores

  • 34 - 028 – Roundtable: Neurotech vs Neuroscience 
    Mon, 16 Dec 2019 - 0h
  • 33 - 027 – Marc Ferro 
    Tue, 19 Nov 2019 - 0h
  • 32 - 026 – Gordon Wilson 
    Sun, 03 Nov 2019 - 0h
  • 31 - 025 – Alik Widge 
    Fri, 04 Oct 2019 - 0h
  • 30 - 024 – Brian Pepin 
    Sun, 01 Sep 2019 - 0h
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