Recent Posts

In this blog post I will engage in something a bit more serious than playing with static or dynamic images (although, admittedly, it’s a lot of fun). I will show you my first attempt at analyzing a document using the wonderful tidytext package. tidytext allows to sort the constituent elements of a text (e.g., single words or n-grams) following Hadley Wickham’s tidy principles: each variable is a column; each observation is a row; each type of observational unit is a table.

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In my first post I broke the ice by drawing mesmerizing Clifford attractors. My second post was supposed to be slightly more serious (e.g., something about data analysis, or what I think about the recent alpha wars), but I have not yet had the time… and my crippling perfectionism is surely not helping. So, what better way to procrastinate than to play with two of my favorite things in the world, R and our cat Borre1?

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My first post is going to be trivial but, I think, quite mesmerizing. I avidly follow a website called R-Bloggers, a content aggregator where you can find daily updates of a huge variety of blogs treating a plethora of topics. I learned that, thanks to the power of R, I could be able to accomplish everything I deem important in life: creating memes, making pixel art, and generate sCATterplots. On a slightly more serious note, I discovered extremely interesting blogs, like Variance Explained, and useful R packages, for example sjPlot.

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OSF Projects

Rapid extraction of emotion regularities from complex scenes in the human brain

Data, materials, and analysis scripts of the manuscript submitted for publication: Schettino, A., Gundlach, C., & Müller, M. M. (submitted). Rapid extraction of emotion regularities from complex scenes in the human brain.

Attentional gain is modulated by probabilistic feature expectations in a spatial cueing task: ERP evidence

Raw EEG, eye-tracking, and behavioral data from the study described in the following paper: Marzecová, A., Schettino, A., Widmann, A., SanMiguel, I., Kotz, S. A., & Schröger, E. (2018). Attentional gain is modulated by probabilistic feature expectations in a spatial cueing task: ERP evidence. Scientific Reports, 8(1), 54. https://doi.org/10.1038/s41598-017-18347-1.

Involuntary attentional orienting in the absence of awareness speeds up early sensory processing

Materials, data, and analysis scripts of the two experiments presented in the following paper: Schettino, A., Rossi, V., Pourtois, G., Müller, M. M. (2016). Involuntary attentional orienting in the absence of awareness speeds up early sensory processing. Cortex, 74, 107-17. DOI: 10.1016/j.cortex.2015.10.016.

Shedding light on emotional perception: Interaction of brightness and semantic content in extrastriate visual cortex

Materials, data, and analysis scripts of the experiment presented in the following paper: Schettino, A., Keil, A., Porcu, E., Müller, M. M. (2016). Shedding light on emotional perception: Interaction of brightness and semantic content in extrastriate visual cortex. Neuroimage, 133, 341-353. DOI: 10.1016/j.neuroimage.2016.03.020.

Publications

More Publications

  • Attentional gain is modulated by probabilistic feature expectations in a spatial cueing task: ERP evidence

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  • Shedding light on emotional perception: Interaction of brightness and semantic content in extrastriate visual cortex

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  • Involuntary attentional orienting in the absence of awareness speeds up early sensory processing

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  • Semi-parametric proportional hazards models with crossed random effects for psychometric response times

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  • Multiple synergistic effects of emotion and memory on proactive processes leading to scene recognition

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