Shriki O, Sadeh Y, Ward J (2016) The Emergence of Synaesthesia in a Neuronal Network Model via Changes in Perceptual Sensitivity and Plasticity. PLoS Computational Biology. 12(7): e1004959. doi:10.1371/journal.pcbi.1004959
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004959
“The model unifies different causes of synaesthesia within a single theoretical framework and repositions synaesthesia not as some quirk of aberrant connectivity, but rather as a functional brain state that can emerge as a consequence of optimising sensory information processing.”
Anders Eklund, Thomas E. Nichols, and Hans Knutsson (2016) Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
PNAS 2016 ; published ahead of print June 28, 2016, doi:10.1073/pnas.1602413113
http://www.pnas.org/content/early/2016/06/27/1602413113.full
“In theory, we should find 5% false positives (for a significance threshold of 5%), but instead we found that the most common software packages for fMRI analysis (SPM, FSL, AFNI) can result in false-positive rates of up to 70%. These results question the validity of some 40,000 fMRI studies and may have a large impact on the interpretation of neuroimaging results.”
Interesting commentary:
Oxenham, Simon Thousands of fMRI brain studies in doubt due to software flaws. New Scientist. July 18th 2016.
Am I a super-recognizer? 