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#neurobuzz — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #neurobuzz, aggregated by home.social.

  1. » But to what extent & at what scales
    brain dynamics & function depend on the specific details of their nodes & edges

    &, on the other hand,

    to what extent
    simple network structure retains sufficient information to account for brain structure, dynamics, & function

    are not yet totally clear questions «

    Does the brain behave like a (complex) network? I. Dynamics
    doi.org/10.1016/j.plrev.2023.1

    #complexsystems
    #neurodon
    #neurobuzz
    #systemsneuroscience
    #compneuro

    HT subscribe:
    mathstodon.xyz/@manlius/111744

  2. By ironical serendiripy, drift, change, synchronicity, or else:

    Two new papers with thoughtful #NetworkNeuroscience critique!

    » Beyond Networks:
    Explaining Dynamics in the Natural and Social Sciences «
    @yoginho et al.
    doi.org/10.31219/osf.io/htc78

    » Circular and unified analysis in network neuroscience «
    Mika Rubinov
    doi.org/10.7554/eLife.79559

    With different framework approaches, conclusions, while complimentary & so needed!

    #ComplexSystems
    #NetworkScience
    #SystemsNeuroscience
    #neurodon
    #neurobuzz

  3. » #neuroscience has become so broad & technically sophisticated that individual researchers can no longer fully understand the technical foundations of their experiments.

    The average #systemsneuroscience project, for example, requires in-depth knowledge of animal #surgery #mechanical #optical & #electrical #engineering #statistics and #computerscience «

    thetransmitter.org/systems-neu

    #neurodon
    #neurobuzz
    #systemsneuro

  4. @DrYohanJohn

    #JohnBickle #neurohistory lecture:

    #compneuro limits

    A Hodgkin & A Huxley
    1952s
    Papers quartet duo written
    —with one B Katz trio

    Pioneering voltage-clamp squid neural implant.

    First action potentials recordings!

    Last paper on how maths calculus derived from experiments datasets.

    Thus predictions caveat:
    Never link causal mechanisms.

    ps: Q&A critical feedback:
    Skilled lecturer turns into scientific dialogues!

    youtube.com/watch?v=g85bgHul7N

    #oldneuropapers
    #neuroscience
    #neurobuzz

  5. @kordinglab

    apropos of NMDARs Glutamate:

    fav top notch most impressive #scihistory #neurolecture ever!

    "Unnoticed Features of Exploratory Experiments from the 60-Year History of the N-methyl - D-aspartate (NMDA) Receptor"
    youtu.be/xrNrLcE2RZE
    John Bickle
    2023

    From 1949 Hebb
    'in one or both cells'
    then Watkins, Morris, Collingridge, etc. to
    2023 #PhilSci Haueis

    #neurophysiology
    #neurohistory
    #neurodon
    #neuroscience
    #oldneuropapers
    #cogsci
    #neurobuzz
    #systemsneuroscience
    #complexsystems

  6. Professor @melaniemitchell gives 2023 #MargaretBoden Lecture:

    ”the inability to form conceptual abstraction —and to make abstraction-driven analogies— is a primary source of brittleness and unreliability in #sota #AI

    ”I think the the problem that AI has faced at least up till recently is that it has relied on #statistical associations rather than forming concepts”

    youtu.be/uEN_rOxKkag

    #LLMs #cogsci #neurobuzz #neurodon #ml #systemsneuroscience #complexsystems #neuroai #dl
    #PhilosophyOfAI

  7. @lydia

    Welcome!
    Find peers + add yours in the docu form:

    #neuroscience on #mastodon
    aka
    #neurodon list
    by @vineettiruvadi

    #neurobuzz #neurometa

    (add multiple tags to all posts to better & fastly spread out to other instances —no remorse for typo mistakes: can edit afterwards—

    #neuroscenius

    ȏ.̮ȏ

    docs.google.com/spreadsheets/d

  8. @elduvelle_neuro I agree with @beneuroscience @kofanchen and @alicia_izquierdo here. One very broad way to look at it could be the classic nature (genes, evolution --> #neuroethology) vs nurture (environment, epigenetics --> behavioral #neuroscience)?

    To slightly rephrase what others have stated - #neurothology studies the mechanisms that the brain has evolved to function in its natural conditions. If I were to draw a venn diagram for this, there could be/is an intersection between the 2 sets (behavioral neuroscience and neuroethology) but they are 2 different sets. There's #EfficientCoding based on response to natural statistics of the animal's environment that I think lies at the intersection. While there may be a behavioral response to a stimulus in the lab, it doesn't mean that the stimulus even exists in the statistics of the animal's natural environment.

    In a lab, you can rewire the auditory cortex of a ferret's brain and they can start "seeing" with their auditory cortex but it doesn't mean that in a "normal" animal's brain that's what happens.

    nature.com/articles/35009043
    nytimes.com/2000/04/25/science
    web.mit.edu/surlab/publication

    I think of it this way -- there could be several mechanisms to achieve the same output (behavior) in a lab setting but that doesn't mean that the brain actually uses any or all of those mechanisms in its natural environment. Heck, even in the natural environment the brain could (and very likely does) exhibit #degeneracy where distinct structural units could give rise to the same function (behavior) under different circumstances.

    Also, given the diversity of responses to the OP, adding #neurobuzz @neurobuzz 🙂​