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?
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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