TB10 B&B Lecture 1; How is information represented in an individual neuron?

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  • Created by: mint75
  • Created on: 23-05-16 10:58

1. What characterises the 'detector' analogy?

  • Each neuron codes for a specific pattern with a 'detection threshold'
  • Single neurons code for specific individual phenomena e.g there is a neuron that selectively codes for faces, another for dogs...
  • An individual neuron intergrates information from a variety of sources and sends a signal representing the degree to which the inputs match some type of pattern
  • An individual neuron 'detects' information in its receptive field and broadcasts to other single neurons
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Other questions in this quiz

2. What tuning can generalise e.g the same neuron can detect a stimulus based on similarity to a prototypical representation?

  • Detector tuning
  • Response tuning
  • Broad tuning
  • Specific tuning

3. Is there ambiguity in bell shaped tuning curves?

  • Yes, the same firing rate can reflect different properties of the stimulus
  • No, the same firing rate always reflects the same property of the stimulus

4. From where do neurons receive input?

  • Dendrites
  • Axon
  • Nucleus
  • Myelin

5. What are 2 issues with the detector analogy?

  • Is a unique neuron required for every perceivable percept/concept/action and there is ambiguity in the firing rate in individual neurons
  • Is a unique neuron required for every perceivable percept/concept/action and the threshold for each 'detector' is poorly defined with current technology
  • There is ambiguity in the firing rate in individual neurons and the threshold for each 'detector' is poorly defined with current technology
  • There is ambiguity in the firing rate in individual neurons and

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