Kelly Clancy

@kellybclancy

Thinking about how we think. She/her

London
Vrijeme pridruživanja: studeni 2014.

Medijski sadržaj

  1. 1. lis 2019.

    We then targeted recordings from individual neurons a parietal cortex homolog (AM), and found that cells responded more strongly to the cursor when mice were controlling it than when passively viewing it, especially when the cursor was close to the target.

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  2. 1. lis 2019.

    We found that parietal and higher visual cortical regions were more engaged when expert animals controlled the cursor, but not in naïve mice learning the task. Interestingly, parietal cortex has been shown in human studies to be involved in a sense of agency over one’s body.

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  3. 1. lis 2019.

    Animals therefore had to learn new activity patterns necessary for successful BMI control each session. They did this by first stochastically exploring neural activity space for patterns that could achieve hits, then exploited the successful pattern to reliably reach the target.

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  4. 1. lis 2019.

    Here we devised a brain machine interface (BMI) task, in which mice learned to guide a visual feedback cursor to a target location for reward, using activity in brain areas recorded with widefield calcium imaging–acting as a survey of dorsal cortex throughout learning.

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  5. 1. lis 2019.

    Thread: I’m pleased to share my new paper, wherein we devised a novel optical brain machine interface (BMI) to investigate how the brain infers and controls a causal relationship between its activity and the outside world.

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  6. 11. ožu 2019.

    But when animals started walking, the neurons in retrosplenial cortex became much less locally correlated, and instead coupled to distant sensory and motor areas.

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  7. 11. ožu 2019.

    Rather than diffusely modulating the activity of cells, at least some long range projections may directly drive neurons in their target areas—so, in a local network, some neurons may act as ‘local representatives’ of activity happening in distant areas, in a small-world manner.

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  8. 11. ožu 2019.

    We then correlated the spike trains of each neuron with the activity across the rest of the brain to build a kind of correlation ‘heat map’ we call SpAMs (Spike-triggered Activity Maps). Here are example SpAMs from 8 different cortical neurons:

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  9. 11. ožu 2019.

    Or do neurons independently couple to different areas depending on task demands or behavioral state?

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  10. 11. ožu 2019.

    But this only tells us about populations of neurons--how do individual neurons link up with activity in distant networks? For example, do dedicated populations of neurons in an area project to a given target, and these populations get turned on/off when they aren’t needed?

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  11. 11. ožu 2019.

    An example of this is the default mode network (green), an evolutionarily conserved collection of brain areas that become active when a subject is at rest. When the subject becomes mentally engaged in something, different areas turn on (visual attention network in red, Raichle).

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  12. 11. ožu 2019.

    to mapping the large scale patterns of white matter, bundles of axons passing information between areas (diffusion tension imaging from Thomason and Thompson, 2011)

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  13. 11. ožu 2019.

    Scientists have spent years mapping such projections anatomically, using a slew of methods: from tracing individual neurons projecting within the brain (from the )

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  14. 9. velj 2019.
    Odgovor korisniku/ci
  15. 18. ruj 2018.
    Odgovor korisniku/ci
  16. 18. ruj 2018.
    Odgovor korisniku/ci
  17. 23. srp 2018.

    I accidentally plotted instead of grey-scaled a dorsal image of cortex and it looks like this

  18. 12. srp 2017.

    POBODY'S NERFECT

  19. 30. lip 2017.
    Odgovor korisniku/ci
  20. 30. lip 2017.

    omg guys: frizzle chickens

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