Application of the PCCM method to neural data simulated according to composite models. Application of the PCCM method to neural data simulated according.

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Presentation transcript:

Application of the PCCM method to neural data simulated according to composite models. Application of the PCCM method to neural data simulated according to composite models. A: cosine relation with θvel and linear relation with Avel (Eq. 2; τvel = 50 ms). The 4 PCCMs are organized as follows: top: velocity, bottom: acceleration; left: amplitude; right: direction. Colors depict t-statistic values. Each PCCM shows the correlation between firing rate and 1 movement feature, given the other features. Other conventions are the same as in Fig. 3. As expected from the model, horizontal stripes are evident in the Avel and θvel PCCMs. B: cosine relation with θvel multiplied by Avel (Eq. 3; τvel = 50 ms). As expected, the amplitude relation is not noticeable in the PCCMs. The direction relation is obvious. C: cosine relation with θvel and cosine relation with θacc (Eq. 4). The delay between firing rate and velocity is 200 ms, and the delay between firing rate and acceleration is 50 ms. These features and delays are unmistakable in the PCCMs. All simulations in this figure were based on the same movement data (387 trials). Eran Stark et al. J Neurophysiol 2006;95:1966-1975 ©2006 by American Physiological Society