Computational Social & Affective Neuroscience

Sharing resources with the computational social and affective neuroscience community

[Emmanuelle Tognoli @ETognoli]

I am so sorry to report that Emmanuelle Tognoli passed away on Saturday 23 April 2022 after briefly battling a rare cancer. She had an uncommon ability to inspire and touch lives. Her loss is mourned by family, friends, and colleagues around the world.

https://t.co/xonBUI3FQs

[Luke Chang @lukejchang]

Deadline to submit to naturalistic fMRI data challenge at SANS extended to 4/15/22. Submit your creative analyses investigating social and affective processes using the Friday Night Lights dataset for a chance to win $5000 https://t.co/qujLMmlhDJ

[Mark Thornton @Mark_A_Thornton]

Excited about using naturalistic fMRI to study social and affective processes? Join the first ever @SANS_news Naturalistic Data Analysis Challenge! Winners and prizes will be announced during the computational symposium at #SANS2022! Details here: https://t.co/o6fYOVKBB3

[Shawn Rhoads @shawnrhoadsphd]

🚨 So excited to officially share materials + #JupyterBook from a course I designed/taught on computational models of human social behavior! @lin_gllg and I describe them in our new @JOSE_TheOJ article!

📄 article: https://t.co/LjkhuEFt3H
📕 jupyter book: https://t.co/Io0iE7GeW6

[Computational Social & Affective Neuroscience @compsan_org]

A day late, but maybe appropriate...

[Robert Wilson @NRDlab]

If anyone is interested, here are the materials for my undergraduate class on building computational models of cognition. Includes detailed written notes, assignments, Matlab tips, and walkthrough videos. Assumes no prior experience with coding.

https://t.co/dzkXnOaU5J

[Emmanuelle Tognoli @ETognoli]

Dear Twitter, In a new paper, we provide a gentle mathematical introduction to the foundations of nonlinearly coupled dynamical systems to model social behavior. We hope that many of you would be interested, we tried to make it approachable to all. https://t.co/qBtIpJMNZR

[naturalistic-data @natural_data]

Introducing https://t.co/z6E5Pl3uU0 an open access educational resource for analyzing naturalistic neuroimaging studies. Includes short talks introducing analytic techniques and interactive @ProjectJupyter notebooks that provide hands on tutorials using real data.

[Computational Social & Affective Neuroscience @compsan_org]

cc @SANS_news

[Computational Social & Affective Neuroscience @compsan_org]

We are very excited to announce the 2nd CompSAN preconference on the morning of May 7th 2020 in Santa Barbara CA. Details and registration here: https://t.co/IUAGDNU5VF We have an awesome set of speakers, including Jessy Lauer @tessa_rusch @Mark_A_Thornton & @vinnycosta_phd

[Computational Social & Affective Neuroscience @compsan_org]

@tessa_rusch @Mark_A_Thornton @vinnycosta_phd @DeepLabCut In the Inferring mental states using Partially Observable Markov Decision Processes (POMDPs) session: @vinnycosta_phd from OHSU will talk about POMDPs and decision making, and @tessa_rusch from Caltech will talk about interacting POMDPs and Theory of Mind

[Computational Social & Affective Neuroscience @compsan_org]

We are very excited to announce the 2nd CompSAN preconference on the morning of May 7th 2020 in Santa Barbara CA. Details and registration here: https://t.co/IUAGDNU5VF We have an awesome set of speakers, including Jessy Lauer @tessa_rusch @Mark_A_Thornton & @vinnycosta_phd

[Computational Social & Affective Neuroscience @compsan_org]

@tessa_rusch @Mark_A_Thornton @vinnycosta_phd In the Computational analysis of naturalistic social behavior session: Jessy Lauer from Harvard will talk about @DeepLabCut for studying behavior, and @Mark_A_Thornton from Dartmouth will talk about deep learning for action recognition in naturalistic stimuli

[Computational Social & Affective Neuroscience @compsan_org]

@tessa_rusch @Mark_A_Thornton @vinnycosta_phd This year we will focus on two topics: a) Computational analysis of naturalistic social behavior; and b) Inferring mental states using Partially Observable Markov Decision Processes (POMDPs)

[Norman Lab @ptoncompmemlab]

These @UseBrainIAK tutorials are highly complementary to the wonderful "Introduction to fMRI data analysis" tutorials posted by @lukejchang at https://t.co/CCF23xcKGu, which cover preprocessing and GLM analysis as well as basics of functional connectivity and MVPA.

[Shawn Rhoads @shawnrhoadsphd]

In the @compsan_org keynote, Read Montague introduced some cutting-edge work using voltammetry to measure real-time dopamine, serotonin, and norepinephrine in human patients during economic games! For more, see: https://t.co/smLyyMqYYP #compSAN2019 #compSAN2019 #SANS2019 (3/n)

[Shawn Rhoads @shawnrhoadsphd]

One favorite new addition was the @compsan_org preconference! A true game-changer for trainees! I am excited to see how this community grows and evolves! Huge thanks to @jimthommo @lukejchang @robchavez @parkinsonc & @ETognoli for organzing! #compSAN2019 #SANS2019 (2/n)

[Emmanuelle Tognoli @ETognoli]

At @compsan_org, a duo of researchers from @YouTube, Melissa Smith @mabsmith and Christian Gonzalez @UxtianG, presented careers opportunities @google for computational social and affective neuroscientists in the domain of user experience. #UXresearch #SANS2019

[Emmanuelle Tognoli @ETognoli]

.@compsan_org mastermind Thompson @jimthommo altruistically gave away the opportunity to present. Here is some of his and Dziura's work on social memory, how people encode and remember who knows whom, with Representational Similarity Analysis https://t.co/JOLjeTu6ga

[Emmanuelle Tognoli @ETognoli]

At @compsan_org, @Parkinsoncm bridges the scales from brains to societies, maps how the brain encodes information about individuals' place in the community: i.e. a member's centrality, his/her distance to us and his/her ability to connect that community's distinct clusters.

[Emmanuelle Tognoli @ETognoli]

.@compsan_org with shared response models of the brain's hemodynamics @lukejchang teases apart the components of our incompletely shared emotional experience watching movies, extends facial expression analysis beyond the 4th wall: predicts observers with collaborative filtering.