TB10 B&B Lecture 2; How can multiple neurons represent information?
- Created by: mint75
- Created on: 23-05-16 12:57
Other questions in this quiz
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 predicts actual movement
- Firing rate x vector sum of preferred directions weighted by amplitude
- Firing rate x vector sum of preferred directions weighted by firing rate
- Vector sum of prefered directions weighted by firing rate. Population vector does not predict actual movement
3. Which is the best known population code?
- Somatosensory code for touch
- Hippocampal code for spatial navigation
- Retinal code for colour
- Hippocampal code for head orientation
4. Which is the correct process of shape coding in V4?
- Predictions based on model, matches data? -> Model of single neuron responses -> single neuron responses
- Model of single neuron responses -> predictions based on model, matches data? -> single neuron responses
- Single neuron responses -> model of single neuron responses -> predictions based on model, matches data?
- Model of single neuron responses -> single neuron responses -> predictions based on model, matches data?
5. The preferred value/firing rate of V4 neurons...
- Varies systematically with the shape and orientation of simple silhouettes
- Varies systematically with the shape and orientation of global form
- Varies systematically with the shape and orientation of complex objects
- Varies systematically with the shape and orientation of object affordances
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