TB10 B&B Lecture 2; How can multiple neurons represent information?

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  • Created by: mint75
  • Created on: 23-05-16 12:57

1. What is sparsity?

  • The proportion of neurons that fire in a given time window
  • Mixtures that produce the same activity as a spectral colour
  • A subset of the grandmother cell hypothesis
  • How many neurons are found in a space which codes for a particular stimulus (influences gross firing rate)
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2. What can be used to decode the value signalled from coarse coding?

  • A firing rate weighted average of each neurons preferred value
  • An amplitude weighted average of each neurons preferred value
  • A temporally weighted average of each neurons preferred value
  • A histologically weighted average of each neurons preferred value

3. What is breadth of tuning in relation to sparsity?

  • The proportion of neurons that fire in a given time window
  • A subset of the grandmother cell hypothesis
  • The proportion of stimuli to which a given neuron responds
  • How many neurons are found in a space which codes for a particular stimulus (influences gross firing rate)

4. Population codes...?

  • Create L shaped tuning curves
  • Resolve ambiguity present in the firing of individual neurons
  • Create U shaped tuning curves
  • Create conflict between individual neurons

5. Which is the best known population code?

  • Hippocampal code for head orientation
  • Somatosensory code for touch
  • Retinal code for colour
  • Hippocampal code for spatial navigation

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