Noah Guzmán

@NoahGuzman14

Theoretical neuroscientist with a philosophical bent. Marder lab alumnus. PhD student in the CNS program at Caltech.

Vrijeme pridruživanja: veljača 2019.

Medijski sadržaj

  1. 4. velj

    Slowly but surely, my semantic network web app exploring the foundations of cognitive science is coming along. I decided to write in JavaScript rather than Python.

  2. 4. velj
    Odgovor korisniku/ci

    Tadashi Tokieda offers a nice discussion of this towards the end of this video: and continued in this one:

  3. 2. velj

    What do we mean we talk about “internal states” in a discrete way? It seems that really we are talking about equivalence classes of states at some coarse-grained scale. But how do we construct equivalence classes over states? How do we demarcate their temporal boundaries?

  4. 30. sij

    Turvey’s theories about motor control are totally nuts from the perspective of the orthodox motor control community but his arguments are far more convincing than standard ideas about internal models of Newtonian mechanics and effector dynamics. Turvey and Fonseca, 2009:

  5. 23. sij

    Just finished this collection of short horror stories by Brian Evenson. Highly recommended. The flat tone and vague imagery of most of the stories forces you construct narratives surrounding the gaps and implications in each story long after you have finished reading.

  6. 18. sij

    Sometimes my colleagues who know I am skeptical about encoding-based notions of representation in cog sci ask me if I believe that deep neural networks have/use representations. This is the correct response (Bickhard and Terveen, 1995):

  7. 9. sij

    Bickhard and Terveen (1995) on program-level vs. project-level problems in cognitive science. One question I have is: How do the cultures of scientific communities and the structure of scientific funding enforce a focus on project-level problems?

  8. 3. sij

    Los Angeles a few nights ago

  9. 3. sij

    In the proceedings of the 1949 conference on cybernetics, Norbert Weiner uses a Watt-like governor as a metaphor for cognition almost 50 years before Tim van Gelder’s “What Might Cognition Be, if Not Computation”

  10. 27. pro 2019.

    A wonderful place to live

  11. 26. pro 2019.

    My partner got me Brian Cantwell Smith’s “The Promise of Artificial Intelligence” for Christmas. The first page is striking, especially this: “It requires ‘getting up out’ of internal representations and being committed to the world as world, in all its unutterable richness.”

  12. 23. pro 2019.

    Electronic and guitar accompaniment to a polyphonic rendition of Hildegard von Bingen. Hildegard von Bingen - HOMMAGE

  13. 11. pro 2019.

    David Krakauer on niche construction: “Niche construction is only possible when the organism has a monopoly on some free energy resources... The body is a near perfect ecological monopoly... Development is a special kind of ecosystem.”

  14. 7. pro 2019.

    For those who enjoy atmospheric electronic and piano bordering on the sublime: Murcof, Vanessa Wagner - Statea (Full Album)

  15. 6. pro 2019.

    Odor stimulus responses in Drosophila antennal lobe from a 2-photon calcium imaging experiment I’m currently running. Being principally a theorist, it’s always exciting when an experiment I’m doing works out.

  16. 4. pro 2019.

    Here Edelman gives a beautifully succinct summary of principles of brain anatomy and function. When the Neurosciences Institute closed in 2012, we lost a promising avenue of research for understanding the role of the nervous system in perception-action.

  17. 3. pro 2019.

    Just watched this amazing lecture from one of the authors: Novelty search outperforms objective optimization in complex domains. Also seems more biologically and developmentally plausible than an objective based framework. Lots of food for thought.

  18. 25. stu 2019.

    Some compelling ideas in here about mesoscopic neural dynamics, but I can’t get behind the probabilistic interpretation. Would love to see this work approached from the perspective of Turvey’s anticipatory systems.

  19. 22. stu 2019.

    Gabriel Mindlin on the nonlinear dynamics of birdsong. Instead of just asking how behavior is neurally controlled, we need to be asking how the biomechanics of the organism and the physics of the situation shape the behavior.

  20. 18. stu 2019.

    John Krakauer on the failure of cortical network perspectives in stroke rehabilitation. Makes the claim that technique driven research led neurologists down the wrong road. Saved only by theory driven research. Neural networks and motor rehabilitation

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