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Andrew Isaac Meso

As seen in: Nature, Wiley, Wiley Online Library
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Articles

Cognitive‐perceptual traits associated with autism and schizotypy influence use of physics during predictive visual tracking

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By Chloë Cooper, Andrew Isaac Meso
| Wiley Online Library Verified
FEF frontal eye fields PCA principal component analysis RMSE root mean square (position tracking) error SATQ Subthreshold Autism Trait Questionnaire SPQ Schizotypal Personality Questionnaire 1 INTRODUCTION Schizophrenia and autism spectrum disorders (ASD) are common heterogeneous conditions that have historically been considered distinct.
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To boost disruptive science, teach researchers critical thinking

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By Andrew Isaac Meso
| Nature Verified
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Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions

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By Andrew Isaac Meso, Pascal Mamassian, Guillaume Masson
| eneuro.org
Model fitting The model attempts to capture not only the differences in OFRs between different types of stimuli (DGs and MCs) but also stimuli that differ in their spatiotemporal characteristics. To accomplish that, it assumes that channels centered at different spatiotemporal coordinates have distinct weights. So, stimuli that activate different channels will produce larger or smaller responses depending on the weight of these channels. The weights predicted by the model are plotted in Figure 11a.
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