vity in the two areas as d = t 2 − t 1 , each entry in the population correlation function is given by: C ( t , d ) = P ( t , t + d ) = max a , b corr ( X t a , Y t + d b ) Given the brief spike count bins (1 ms for V1–V2 and 25 ms for V1–V4), CCA tended to identify only one pair of dimensions with highly significant population correlations: correlations associated with the second canonical pair were on average 60% lower than for the first pair and close to chance level.
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Feedforward and feedback interactions between visual cortical areas use different population activity patterns.
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