Quantifying effects of stochasticity in reference frame transformations on posterior distributions

Frontiers in Computational Neuroscience

Gunnar eBlohm¹  Schubert Ribeiro De Carvalho¹  Hooman eAlikhanian¹ 

[1] Queen's University;

关键词: reaching;    sensory-motor transformation;    Stochastic noise;    reference frame transformation;    deviation from normality;   

DOI  :  10.3389/fncom.2015.00082

来源: DOAJ

【 摘 要 】

Reference frame transformations are usually considered to be deterministic. However, translations, scaling or rotation angles could be stochastic. Indeed, variability of these entities often originates from noisy estimation processes. The impact of transformation noise on the statistics of the transformed signals is unknown and a quantification of these effects is the goal of this study. We first quantify analytically and numerically how stochastic reference frame transformations alter the posterior distribution of the transformed signals. We then propose an new empirical measure to quantify deviations from a given distribution when only limited data is available. We apply this empirical measure to an example in sensory-motor neuroscience to quantify how different head roll angles change the distribution of reach endpoints away from the normal distribution.

【 授权许可】

Unknown