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
How can the ambiguity in single neuron bell curves be resolved?
Adding another neuron, different patterns seen at each stimulus value
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What is coarse coding?
Each neuron represents a range of possible input values
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What can be used to decode the value signalled from coarse coding?
A firing rate weighted average of each neurons preferred value
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Which is the correct way to work out a firing rate weighted average?
(Sum of) Firing rate x preferred firing/total amount of firing
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Population codes...?
Resolve ambiguity present in the firing of individual neurons
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Which is the best known population code?
Retinal code for colour
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What is the name for a pattern that cant be distinguished aka a indistinguishable percept?
Metamers, mixtures that produce the same activity. Cant be distinguished from spectral colours
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What is a metamer?
Mixtures that produce the same activity as a spectral colour
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What is a spectral colour?
Colours that correspond to a single wavelength
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Does the brain work by DECODING or RECODING?
Recoding
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What is sparsity?
The proportion of neurons that fire in a given time window
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What is breadth of tuning in relation to sparsity?
The proportion of stimuli to which a given neuron responds
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Which allow for rapid learning and allow for simple network architecture?
Sparse population codes
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Which is more likely to exist in the brain?
Sparse/dense population codes
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What are two dimensions through which shape can be represented?
Curvature and outline
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Shape representations in V4...?
Show feature-based population coding
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The preferred value/firing rate of V4 neurons...
Varies systematically with the shape and orientation of simple silhouettes
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What was the task in a study by Georgopoulous et al?
The monkey moves the lever from the centre to a direction along 360 degree of points.
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What was found in a study by Georgopoulous et al?
Activity increases when lever is about to be moved in the preferred direction
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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
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Card 2

Front

What is coarse coding?

Back

Each neuron represents a range of possible input values

Card 3

Front

What can be used to decode the value signalled from coarse coding?

Back

Preview of the front of card 3

Card 4

Front

Which is the correct way to work out a firing rate weighted average?

Back

Preview of the front of card 4

Card 5

Front

Population codes...?

Back

Preview of the front of card 5
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