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02/16/2017

RESEARCH ARTICLE

A Causal Inference Model Explains Perception of the McGurk Effect and Other Incongruent Audiovisual Speech

Magnotti et al describe a simplified model of causal inference in multisensory speech perception (CIMS) that predicts the perception of arbitrary combinations of auditory and visual speech. In this study they applied this model to behavioral data collected from 60 subjects perceiving both McGurk and non-McGurk incongruent speech stimuli.

Image credit: Magnotti et al

A Causal Inference Model Explains Perception of the McGurk Effect and Other Incongruent Audiovisual Speech

Recently Published Articles

Current Issue

Current Issue January 2017

02/10/2017

RESEARCH ARTICLE

Human mobility and the spatial transmission of influenza in the United States

Using statistical methods, Charu et al found that seven of eight epidemics likely originated in the Southern US, that influenza spatial transmission is dominated by local traffic between cities, and that seasons marked by novel influenza virus circulation had a particularly radial, localized spatial structure. These findings are in stark contrast to prevailing theories of influenza spatial transmission. 

Image credit: Charu et al

Human mobility and the spatial transmission of influenza in the United States

02/16/2017

research article

Testing the limits of gradient sensing

Lakhani and Elston developed a 3D computational simulation platform to calculate and study the exact positions of molecules during this process. Their platform utilizes High Performance Computing clusters and GPGPUs. They find that, of the two prevailing models in the literature, neither time-averaging nor receptor endocytosis sufficiently reduces molecular noise for yeast cells to reliably detect chemical gradients before they initiate polarized growth. 

Image credit: Lakhani & Elston

Testing the limits of gradient sensing

02/15/2017

PLOS SCIENCE WEDNESDAY

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Eric Jonas and Konrad Kording discuss their PLOS Computational Biology study titled, “Could a neuroscientist understand a microprocessor?”.

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