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 are two dimensions through which shape can be represented?

  • Curvature and outline
  • Curvature and colour
  • Outline and colour
  • Outline and affordance
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2. How can you calculate a weighted average of directional measures as in Georgopoulous et al?

  • Vector sum of prefered directions weighted by firing rate. Population vector does not predict actual movement
  • Firing rate x vector sum of preferred directions weighted by amplitude
  • Vector sum of prefered directions weighted by firing rate. Population vector predicts actual movement
  • Firing rate x vector sum of preferred directions weighted by firing rate

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

  • 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)
  • The proportion of neurons that fire in a given time window
  • A subset of the grandmother cell hypothesis

4. Which is the best known population code?

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

5. What is a metamer?

  • Mixtures that produce the same activity as a spectral colour
  • Colours that correspond to a single wavelength

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