full transcript
"From the Ted Talk by Michael Dickinson: How a fly flies"

Unscramble the Blue Letters

Now, another idea, another way of multiplexing is multiplexing in spcae, having different parts of a neuron do different things at the same time. So here's two sort of canonical neurons from a vaetterbre and an invertebrate, a huamn pyramidal neuron from Ramon y Cajal, and another cell to the right, a non-spiking ieorntuernn, and this is the work of Alan Watson and Malcolm Burrows many years ago, and mlcaolm brrwuos came up with a pretty iienrttesng idea based on the fact that this neuron from a lsouct does not fire action potentials. It's a non-spiking cell. So a typical cell, like the neurons in our brain, has a region called the dendrites that receives input, and that input sums together and will produce action potentials that run down the axon and then acttiave all the output regions of the neuron. But non-spiking neurons are actually quite cpaeotclimd because they can have input synapses and output synapses all interdigitated, and there's no single action potential that drives all the optutus at the same time. So there's a pstiiblosiy that you have computational compartments that allow the different parts of the neuron to do different things at the same time.

Open Cloze

Now, another idea, another way of multiplexing is multiplexing in _____, having different parts of a neuron do different things at the same time. So here's two sort of canonical neurons from a __________ and an invertebrate, a _____ pyramidal neuron from Ramon y Cajal, and another cell to the right, a non-spiking ___________, and this is the work of Alan Watson and Malcolm Burrows many years ago, and _______ _______ came up with a pretty ___________ idea based on the fact that this neuron from a ______ does not fire action potentials. It's a non-spiking cell. So a typical cell, like the neurons in our brain, has a region called the dendrites that receives input, and that input sums together and will produce action potentials that run down the axon and then ________ all the output regions of the neuron. But non-spiking neurons are actually quite ___________ because they can have input synapses and output synapses all interdigitated, and there's no single action potential that drives all the _______ at the same time. So there's a ___________ that you have computational compartments that allow the different parts of the neuron to do different things at the same time.

Solution

  1. human
  2. space
  3. locust
  4. burrows
  5. outputs
  6. activate
  7. possibility
  8. vertebrate
  9. interesting
  10. interneuron
  11. complicated
  12. malcolm

Original Text

Now, another idea, another way of multiplexing is multiplexing in space, having different parts of a neuron do different things at the same time. So here's two sort of canonical neurons from a vertebrate and an invertebrate, a human pyramidal neuron from Ramon y Cajal, and another cell to the right, a non-spiking interneuron, and this is the work of Alan Watson and Malcolm Burrows many years ago, and Malcolm Burrows came up with a pretty interesting idea based on the fact that this neuron from a locust does not fire action potentials. It's a non-spiking cell. So a typical cell, like the neurons in our brain, has a region called the dendrites that receives input, and that input sums together and will produce action potentials that run down the axon and then activate all the output regions of the neuron. But non-spiking neurons are actually quite complicated because they can have input synapses and output synapses all interdigitated, and there's no single action potential that drives all the outputs at the same time. So there's a possibility that you have computational compartments that allow the different parts of the neuron to do different things at the same time.

ngrams of length 2

collocation frequency
fruit flies 6
fruit fly 5
aerodynamic forces 4
trump number 4
star trek 3
nervous system 3
visual interneuron 3

Important Words

  1. action
  2. activate
  3. alan
  4. axon
  5. based
  6. brain
  7. burrows
  8. cajal
  9. called
  10. canonical
  11. cell
  12. compartments
  13. complicated
  14. computational
  15. dendrites
  16. drives
  17. fact
  18. fire
  19. human
  20. idea
  21. input
  22. interdigitated
  23. interesting
  24. interneuron
  25. invertebrate
  26. locust
  27. malcolm
  28. multiplexing
  29. neuron
  30. neurons
  31. output
  32. outputs
  33. parts
  34. possibility
  35. potential
  36. potentials
  37. pretty
  38. produce
  39. pyramidal
  40. ramon
  41. receives
  42. region
  43. regions
  44. run
  45. single
  46. sort
  47. space
  48. sums
  49. synapses
  50. time
  51. typical
  52. vertebrate
  53. watson
  54. work
  55. years