Andrew Corcoran

@mr_corcorana

free energy minimiser | pretend philosopher | caffeine abuser | rabbit herder | PhD candidate | RTs = lazy archiving | thoughts almost certainly not his own

Melbourne, Victoria
Vrijeme pridruživanja: travanj 2017.

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  1. proslijedio/la je Tweet
    2. velj

    The role of hippocampus in predictive processing, for specific and abstract representations, from Kok, Rait, and Turk-Browne.

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  2. proslijedio/la je Tweet
    30. sij

    What information do we use to choose? New preprint up on hierarchical decision making, w/ Warren Pettine, , Xiao-Jing Wang: E/I tone shapes decision regimes (and information integration strategies) in multi-attribute choice

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  3. proslijedio/la je Tweet
    31. sij

    And nice write-up: Uncovering the Neural Basis for Hypothetical Thinking in Rats

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  4. proslijedio/la je Tweet
    29. sij

    If you are into replay of sequences of events and how these give rise to decodable signals in EEG/MEG then you might want to read this 👇

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  5. proslijedio/la je Tweet
    29. sij

    Predictive Routing: "There are no special error-detection circuits or mechanisms." There are instead pathways that are gated by predictions and thus can be activated by unexpected inputs. Amazing monkey electrophysiology work by Andre Bastos

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  6. proslijedio/la je Tweet
    28. sij

    Our preprint "EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum" is now online: Comments are very welcome, this is a work in progress.

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  7. proslijedio/la je Tweet
    28. sij

    "Resolving multisensory and attentional influences across cortical depth in sensory cortices" in -- layered fMRI at sub-millimeter resolution in a plethora of different tasks and several cortical regions. Very impressive work

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  8. proslijedio/la je Tweet
    27. sij

    Very happy to see our work finally out in ! Well done ! Damage to the Right Insula Disrupts the Perception of Affective Touch

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  9. proslijedio/la je Tweet
    28. sij

    “..attention was influenced by uncertainty and that the use of, and reduction in, uncertainty were, in turn, influenced by attention.” Uncertainty in learning, choice, and visual fixation

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  10. 28. sij

    hypr: An R package for hypothesis-driven contrast coding via

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  11. proslijedio/la je Tweet
    26. sij

    , & ; together to better understand . Announcing the publication of our interdisciplinary study of vision in FND. Available in Cortex: 1/6

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  12. proslijedio/la je Tweet
    22. sij

    The final version of our manuscript „Heart Rate Variability (): From brain death to resonance breathing at 6 breaths/minute“ is now freely available until March11th

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  13. 23. sij

    "This MEG study demonstrates that slow-paced... inspiration could organize the timing of alpha rhythmic activities across breathing cycles in a structured manner over widespread brain areas."

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  14. proslijedio/la je Tweet
    22. sij

    My blogpost on how & why we use convolutional neural networks as a model of the visual system is probably the most read thing I've ever written and it's now been expanded & updated into a proper review article, complete with 136 references & 5 new figures!

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  15. 23. sij

    'Slow-paced inspiration regularizes alpha phase dynamics in the human brain' (Hsu et al 2020) -- more interesting working linking respiration with oscillatory dynamics

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  16. proslijedio/la je Tweet
    22. sij

    New paper: 'Motivated Ignorance, Rationality, and Democratic Politics'. The question is: will you dislike it as much as its 4 reviewers did? Starts with a great epigraph from Locke:

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  17. 21. sij
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  18. proslijedio/la je Tweet
    21. sij

    Looking for a user-friendly hands-on intro to Bayesian inferences using the brms R package? Here you go:

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  19. proslijedio/la je Tweet
    21. sij

    Finally it's out: The simplicity of mixture models enhanced with dynamics brings to an elegant and powerful generative computational model. "The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning"

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  20. proslijedio/la je Tweet
    20. sij

    Careful analysis of 'Life as we know it'. Great to see colab between Biehl/Kanai and Monash physicist Felix Pollock! (Felix also known in circles for working out a quantum version of the free energy principle)

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