R. James Cotton, MD, PhD

@peabody124

Physiatry resident, neuroscientist, prior developer for Tau Labs and general brain and robotics enthusiast. Opinions are my own.

Texas
Vrijeme pridruživanja: kolovoz 2013.

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  1. proslijedio/la je Tweet

    Dr Cotton is presenting during the Research Seminar Series on “Wearable Sensors and Machine Learning to Enhance Ability”. Dr. James Cotton, MD, PhD is a 5th year research track resident.

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  2. 26. sij

    As a clinician, researcher, and developer such an API (with appropriate HIPPA compliant access controls) would be amazing for the ability to innovate and create new tools. are there any open letters out there to note support FOR the proposal?

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  3. 26. sij

    The lack of an standardized API in the mandate for EMRs was such a glaring lapse from the outset, driving so much vendor lock in to poor software. It would be wonderful to see this addressed and an example of meaningful use actually be ... meaningful.

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  4. proslijedio/la je Tweet
    17. sij

    Interested in how can help understand and how can advance ? Two weeks left to apply to summer school in beautiful ! Great line of lecturers and hands-on workshop on and data.

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  5. proslijedio/la je Tweet
    16. sij

    Work that deserves recognition: decoding the neural pathways of uncertainty. Great work . Read the at : A neural basis of probabilistic computation in visual cortex.

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  6. 6. sij
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  7. proslijedio/la je Tweet
    1. sij

    "We decoded the likelihood function from the trial-to-trial population activity and found that it predicted decisions better than a point estimate of orientation..provide a neural underpinning for Bayesian models of perception"

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  8. Lots more is work required to understand how these computations are performed in brain. Is this type of encoding consistent throughout at least the sensory cortex? Seems somewhat different than encodings of at least binary decisions in frontal/parietal cortex.

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  9. Combining this decoded trial-by-trial likelihood with a Bayesian decision model better predicted behavior than a point estimate of stimulus with fixed likelihood shape, consistent with animals accounting for variability in sensory uncertainty on each trial.

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  10. Decoding population likelihood functions by inverting parametric generative models is too constrained. Our work used an ANN optimized to predict cross-entropy of stimulus that recovers the likelihood (see also )

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  11. We used a task that requires using sensory uncertainty to perform optimally and our prior psychophysics showed both humans and animals did this, consistent with Bayesian predictions

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  12. Likelihood functions encoded in the primary visual cortex better predict decision making under uncertainty than point estimates alone, consistent with PPC predictions. work with out today

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  13. proslijedio/la je Tweet
    23. pro 2019.

    Interested on the neural code of uncertainty and how likelihood functions are represented in the brain. Have fun over the holidays reading our paper with that just came out today

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  14. proslijedio/la je Tweet
    23. pro 2019.

    Sick and tired of holiday fun? A cure: our paper on V1! (and for the image: apologies to Jorge Cham )

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  15. proslijedio/la je Tweet
    25. stu 2019.

    Truly inspiring and wonderful. As Jon Sensinger would say: Not high tech, not low tech, just the right tech. And incredible talent!

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  16. Dr. Emily Kivleham () just gave a great lecture on CVD risk factors in CP to a full house during our visiting professor lecture series on gait analysis and surgical interventions for CP.

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  17. proslijedio/la je Tweet

    Congratulations to physician who received the 2019 Scott F. Nadler PASSOR Research Grant from the Foundation for PM&R. Dr. Jayabalan’s award is for “The Development of a Cartilage Stress Test for the Diagnosis of Early Knee Osteoarthritis”

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  18. proslijedio/la je Tweet
    13. stu 2019.

    Looking forward to sharing research that Dr Brad Dicianno, MD and I worked on for systematic review focusing on mobile apps in rehab . Thurs 115-120pm at kiosk 2 Research Hub.

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  19. Excited to present on some work I've been doing using for tracking for rehabilitation and additionally fusing this with pose estimation. Poster 249, 330pm.

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  20. proslijedio/la je Tweet
    4. stu 2019.

    combine large scale recordings with to reveal a neuron's feature selectivity, such as most exciting inputs. Optimal stimuli for mouse V1 are not Gabors. in Lead by together with

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