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Prediction suppression in monkey inferotemporal cortex depends on the conditional probability between images.
Suchitra Ramachandran1, Travis Meyer2, Carl R Olson3
1Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania; and suchitra@andrew.cmu.edu.
Journal of Neurophysiology
|November 20, 2015
Summary
Neural prediction suppression in monkeys depends on image contingency, not just co-occurrence. This finding reveals how the brain learns predictive relationships between visual stimuli.
Area of Science:
- Neuroscience
- Cognitive Science
- Animal Behavior
Background:
- Neurons in area TE of the inferotemporal cortex exhibit prediction suppression when monkeys view images in a fixed sequence.
- Prediction suppression is a phenomenon where a repeated trailing image elicits a weaker neural response.
- This suppression may depend on image contiguity (co-occurrence) or contingency (correlation).
Purpose of the Study:
- To differentiate whether prediction suppression relies on image contiguity or contingency.
- To investigate the role of joint probability (P(A,B)) versus conditional probabilities (P(A|B), P(B|A)) in prediction suppression.
Main Methods:
- Monkeys were trained on image sequences under regimens that kept joint probability constant but varied conditional probabilities.
- Prediction suppression was measured during subsequent testing after the training period.
- Statistical measures like joint probability P(A,B) and conditional probabilities P(A|B) and P(B|A) were used.
Main Results:
- Reducing either P(A|B) or P(B|A) during training significantly attenuated prediction suppression.
- The degree of prediction suppression correlated with the strength of the predictive relationship between images.
Conclusions:
- Prediction suppression is dependent on the contingency between images, reflecting learned predictive relationships.
- Contiguity alone (co-occurrence) is insufficient to induce robust prediction suppression.
- This suggests that the brain actively learns and relies on probabilistic predictive information in visual sequences.

