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A great reminder that even though many experimentalists claim to be “theory-free”, their analyses and interpretations of their experiments are inherently theory laden by models of their measurements and measuring apparatuses.https://twitter.com/betanalpha/status/1224085027174211585 …
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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?pic.twitter.com/rS8Jhsjb7V
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Might try to start a reading group here at Caltech centered around this listhttps://twitter.com/neuroyogacara/status/1222926224374190080 …
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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:pic.twitter.com/RgFJT88aFc
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Noah Guzmán proslijedio/la je Tweet
The causal structure of living things is circular. If you zoom in to the circle, it looks more and more like a line (input -> output). But life is a global section, so we can't forget about that global topology. Even though the input->output POV is incredibly tempting.
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Noah Guzmán proslijedio/la je Tweet
Actually, this paper from Tichko & Large (2019) used neural networks of neural oscillators to model infant rhythm perception. The learning rule was scaled by the oscillator's natural frequency, creating different dynamics of learning across space and time:https://nyaspubs.onlinelibrary.wiley.com/doi/full/10.1111/nyas.14050 …
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Does anyone know of any work looking at artificial neural networks with fractal (but not necessarily self-similar) architectures or with several different learning rules/updates spread across many different spatiotemporal scales?
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Posting here to hold myself accountable: I will be constructing an interactive web application in Python that explores the arguments in and the connections between Mark Bickhard’s work, Brian Cantwell Smith’s work, Michael Turvey’s work, and others via a semantic network graph.
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Bickhard accuses Maturana and Varela of “observer idealism”: the claim that representations exist only for observers but no explaining how observers come to be representational. Always thought this was a 2nd order cybernetics idea, not autopoiesis/enactivism. Am I wrong?
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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.pic.twitter.com/WuI80VJUyx
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Noah Guzmán proslijedio/la je Tweet
" An organism as a skin bag is no functioning system; it may be such only together with the relevant environmental parts......without the rest of the world the nervous system is not a system at all; neither is the agent of the behavior a part of the body, such as the brain."pic.twitter.com/pynCxutdqP
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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):pic.twitter.com/Po95uomDFx
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Thanks for posting this, I think this is what Turvey and Fonseca were trying to say in this paper on motor control: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726039/ … But the point is made more clearly in this passage by Lackner and Tuller. Turvey sometimes gets a bit too esoteric for me.https://twitter.com/freerecall/status/1217608950767591430 …
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Always a lot of food for thought from
@bayesianbrainhttps://twitter.com/bayesianbrain/status/1217198385729548289 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Was initially very excited about this paper. But after a close reading, I must conclude that many of their analyses are confused, misinterpreted, or straight up cherry picked to make a point. Pretty plots and fancy manifold approximation can’t make up for poor interpretation.https://twitter.com/nature/status/1216395170113105922 …
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Eve was my undergraduate thesis advisor. I owe a lot to her, both personally and intellectually. Always happy to see her receiving the accolades she deserves.https://twitter.com/eLife/status/1216740880066936839 …
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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?pic.twitter.com/zk6pJOWC7Q
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During undergrad I had dreamed of studying the relationship between spinal circuit development and spontaneous twitching ever since I heard about it in a Buzsaki talk. Really great to see this paper.https://twitter.com/freerecall/status/1214552549954609152 …
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From Mark Bickhard (2009): “Put simply, non-point particles would have to have boundaries, collision dynamics, ... , internal dynamics, and these cannot be completed in ways that are coherent and consistent with relativity.” Can any physicists say whether or not this is correct?
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This is a hard pill for most scientists to swallow, but a necessary one. Hopefully we can get past the metaphysical dogma.https://twitter.com/MishaRogov/status/1213457496788086784 …
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