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. Population codes...?

  • Create L shaped tuning curves
  • Create conflict between individual neurons
  • Resolve ambiguity present in the firing of individual neurons
  • Create U shaped tuning curves
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2. What was found in a study by Georgopoulous et al?

  • Activity decreases whilstr the lever is moved in the preferred direction
  • Activity increases after the lever is moved in the preferred direction
  • Activity increases when lever is about to be moved in the preferred direction
  • Activity decreases when lever is about to be moved in the preferred direction

3. What are two dimensions through which shape can be represented?

  • Outline and affordance
  • Curvature and colour
  • Curvature and outline
  • Outline and colour

4. How can the ambiguity in single neuron bell curves be resolved?

  • Decreasing the amount of presented stimulus
  • Considering the population vectors and neurons in surrounding areas, different patterns seen at each stimulus value
  • Adding another neuron, different patterns seen at each stimulus value
  • Increasing the amount of presented stimulus

5. Which of these is a feature of SPARSE population codes?

  • Redundant (resistant to damage)
  • Each neuron is highly selective and emphasises uniqueness
  • Captures similarity
  • Emphasises generalisation and broad tuning

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