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Sara Jahfari proslijedio/la je Tweet
New
@biorxivpreprint from the lab (https://www.biorxiv.org/content/10.1101/2020.02.01.929893v2 …) that shows choice-predictive feedforward/back signals in V1! Led by@Nwilming. Relevant for anyone interested in#decisionmaking,#evidenceAccumulation,#brainrhythms,#corticalfeedback. Thread. (1/10)pic.twitter.com/YBRJHmFfQG
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Sara Jahfari proslijedio/la je Tweet
Having implemented my
#AcademicBackupPlan recently I have one piece of advice - don't wait too long. The longer you stay in academia the harder it will be find jobs and transition to a new environment.https://twitter.com/micahgallen/status/1219191274080755713 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
Very happy with this paper! All props go to
@SuzHoogeveen for the fancy Bayesian analyses.https://twitter.com/SuzHoogeveen/status/1219191476078465025 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
This paper is absolutely amazing! If the thalamic populations driving motor cortex are the same populations as driven by GPi, then this might be a clean mechanism for the how the basal ganglia contribute to action “selection” too.https://twitter.com/bsauerbrei1/status/1209898445596766208 …
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Sara Jahfari proslijedio/la je Tweet
Happy to share our
#preprint on implicit scene segmentation in deeper convolutional neural networks! With Nikos Tsakmakidis, Edward de Haan,@SanderBohte and Steven Scholte@ScholteLabhttps://twitter.com/biorxiv_neursci/status/1207090102205370374 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
The DonnerLab aims to fill several postdoc positions in 2020 (duration: 2-5 years). Applications can be sent any time and will be reviewed until positions are filled. Details: https://tobiasdonner.net/several-postdoc-positions-to-be-filled-in-2020/ …
@CogNeuroJobs@GradSlackHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
Just out! Consensus-based transparency checklist based on input from 63 editors and experts. Open access: https://www.nature.com/articles/s41562-019-0772-6 … Shiny app: http://www.shinyapps.org/apps/TransparencyChecklist/ … Blog post: https://www.bayesianspectacles.org/what-makes-science-transparent-a-consensus-based-checklist/ …
@BalazsAczel@a_sarafoglouHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
Our paper on Oscillatory Control over Representational States in Working Memory is now online!
@TrendsCognSci With Ingmar de Vries & Chris Olivershttps://www.sciencedirect.com/science/article/pii/S1364661319302785 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our latest in the RL series. Super nice to see it published and online! Led by
@JvanSlooten: Spontaneous eye blink rate predicts individual differences in exploration and exploitation during reinforcement learninghttps://www.nature.com/articles/s41598-019-53805-y …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
Preprint: Causal inference using Bayesian nonparametric quasi-experimental design If you want to know your intervention worked, but you cannot do randomized controlled trials. Includes example on Dutch voting behaviour! With
@LucaAmb and@marcelgepic.twitter.com/zekpVX8vzc
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Sara Jahfari proslijedio/la je Tweet
My collaborator the great Martin Szinte has produced yet another awesome piece of work: https://bit.ly/2NK1M8I Their team show that, well, the title says it all: Sounds are remapped across saccades. This is some cutting edge multisensory and eye movement research right here!
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We propose that, with the integration of value and feedback, visual regions could learn to prioritize the processing of high-value features to later support optimal response selection via the dorsal striatum in future choices. But if you have other thoughts let us know :)!
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But, why would BOLD in perceptual regions be modulated by value beliefs and signed RPEs? To answer this, we focus on the ranking (importance) of regions in the correct prediction of value-driven choice outcomes. Here, again an important role is found for perception.pic.twitter.com/Tv730XJ6RL
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In a later test phase, where feedback is no longer given, we find that future value-driven choices can be predicted (decoded) with an accuracy of 70% - by combining trial-by-trial BOLD from perceptual, prefrontal, and striatal regions with the Random Forest ML method.pic.twitter.com/XNHA6fZaVx
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During the learning phase we also find BOLD in both striatal and perceptual regions to be modulated by the signed and unsigned RPE, after the presentation of feedback.pic.twitter.com/DlIEJsxN8t
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During learning, across trials, we show that BOLD in the dorsal striatum *and* perceptual regions is modulated more by values of the (to-be) chosen face when the feedback scheme is reliable (80% valid).pic.twitter.com/74oneLoGSI
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We re-analyze data from a fMRI study using a probabilistic learning task, where we obtain trial-by-trial value beliefs (Q-values) and reward prediction errors (RPE) by using a Bayesian hierarchical Q-learning model.pic.twitter.com/bNjqFqNKdg
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Very excited that my newest paper with J. Theeuwes and
@Tknapen is now published. We show an important role for perceptual regions - alongside striatum and PFC - in the prediction (decoding) of future value-driven choice outcomes. https://doi.org/10.1093/cercor/bhz218 … (1/7)pic.twitter.com/MP13HUkqWN
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Sara Jahfari proslijedio/la je Tweet
Please RT! I have
#postdoc/research professor positions available immediately. Interested in (or getting training in)#Computational#Psychiatry,#Bayesian modeling, or model-based#fMRI in beautiful Seoul, Korea? Please DM or email me if interested! https://ccs-lab.github.io/misc/join/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sara Jahfari proslijedio/la je Tweet
New preprint out! We show that a boost in moment-to-moment neural variability in frontal cortex strongly reflects how much people shift their decision bias to become more liberal. https://www.biorxiv.org/content/10.1101/834614v1 … w/
@Garrett_Neuro@jjfahrenfort@JulianKosciessa and Ulman Lindenbergerpic.twitter.com/h7ZlTJIIei
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