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Prikvačeni tweet
We highlight exciting work by
@EggerSeth &@mjaztwit connecting computational models of how we control actions and how we control brain states. Cognitive control needs control theory! w/@froemero1 &@amitaishenhavhttps://twitter.com/TrendsCognSci/status/1199353361784606720 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Harrison Ritz proslijedio/la je Tweet
Very happy to share our new preprint! Animals have a remarkable capacity to learn new motor skills, but how does learning change neural population dynamics underlying movement?http://www.biorxiv.org/content/10.1101/2020.01.30.919894v1 …https://twitter.com/biorxiv_neursci/status/1223480704761257984 …
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Harrison Ritz proslijedio/la je Tweet
Neural Correlates of Reinforcement Learning in Mid-lateral Cerebellumhttps://www.sciencedirect.com/science/article/pii/S0896627319310980 …
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Harrison Ritz proslijedio/la je Tweet
New commentary on the widespread cortical representation of observed actions (as revealed by dynamic, naturalistic stimuli)—even in putative "form" areas like ventral temporal cortex: https://doi.org/10.1016/j.neuroimage.2020.116561 …https://twitter.com/IGobbini/status/1223661411060109312 …
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Harrison Ritz proslijedio/la je Tweet
Me and my PI reading the reviews on my first first-author paperpic.twitter.com/mf8vpOdoIm
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Harrison Ritz proslijedio/la je Tweet
Where hippocampal place cells have their fields is famously hard to predict: if you know how a given subject encodes location or environment A, that doesn't tell you much about how it encodes B. 1/
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Harrison Ritz proslijedio/la je Tweet
Interested in decision-making, evidence accumulation, normative or circuit models, oscillations, cortical hierarchy, feedback, or brainstem arousal systems? Check out our new paper on
@biorxivpreprint (https://www.biorxiv.org/content/10.1101/2020.01.29.924795v1 …)! Led by@neuromurphy, summary below. (1/11)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Harrison Ritz proslijedio/la je Tweet
How hard would you work to prevent loss of $5? As hard as you’d be willing to work to gain $5? Most tend to work harder to prevent loss. This excellent work by
@GaleaLab@xiulichen618 explores this question and links loss aversion to dopamine.https://www.jneurosci.org/content/40/3/661 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
immediately to the top of the read listhttps://twitter.com/rei_akaishi/status/1211579702717997056 …
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Harrison Ritz proslijedio/la je Tweet
Today I will be teaching my undergrad course "How to build a brain from scratch" for the 2nd year running. I've put the materials online - include a document with all lecture slides and notes, which is about as long as a decent novel. Enjoy!https://humaninformationprocessing.com/teaching/
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Harrison Ritz proslijedio/la je Tweet
Hooray! 5 years' work, some great reviewers and 'Best practice guidance for linear mixed-effects models in psychological science' is in press at Journal of Memory and Language. 50 free copies: https://authors.elsevier.com/c/1aUF4,H2pbYbqT … TLDR: FOR GOODNESS SAKE REPORT MODELS & RESULTS IN FULL. 1/
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Harrison Ritz proslijedio/la je Tweet
New registered report from the lab: Predicted Position Error Triggers Catch-Up Saccades during Sustained Smooth Pursuit With my amazing students
@ONachmani and@Coutinho_JD and collaborators Philippe Lefevre and@aarlennek#OpenSciencehttps://www.eneuro.org/content/7/1/ENEURO.0196-18.2019 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Harrison Ritz proslijedio/la je Tweet
First article from my postdoc
@MPC_CompPsych and@WCHN_UCL "Uncertainty in learning, choice and visual fixation" is submitted, great team effort with Jacob Orquin, Peter Dayan, Ray Dolan &@MaartenSpeek. Here is a@PsyArXiv preprinthttps://psyarxiv.com/zuge2Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Harrison Ritz proslijedio/la je Tweet
Are partial derivatives the computational primitives of deep neural networks? https://keplerlounge.com/neural-computation/2020/01/26/partial-derivatives.html … via
@bayesianbrainPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Harrison Ritz proslijedio/la je Tweet
New preprint with Jan Balaguer, Bernhard Spitzer and
@summerfieldlab now out on this topic: Why are our decisions sometimes “irrational”? https://psyarxiv.com/6yhwg/ Take the example below. Which lottery do you prefer in scenario 1? What about scenario 2? 1/12pic.twitter.com/222cbY94xf
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Harrison Ritz proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Harrison Ritz proslijedio/la je Tweet
A Bayesian and efficient observer model explains concurrent attractive and repulsive history biases in visual perceptionhttps://www.biorxiv.org/content/10.1101/2020.01.22.915553v1 …
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Harrison Ritz proslijedio/la je Tweet
Some lessons I have learned from giving virtual talks in the last 6 months http://www.russpoldrack.org/2020/01/talking-remotely-lessons-learned-so-far.html …
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Harrison Ritz proslijedio/la je Tweet
I have just released versions 0.9.1 and 0.10.0 of seaborn, a Python library for data visualization. The new versions contain a number of improvements, and version 0.10.0 drops support for Python 2. Check out the release notes for more information: http://seaborn.pydata.org/whatsnew.html pic.twitter.com/fiV7mUiPGF
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four tets been throwing down lately
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Čini se da učitavanje traje već neko vrijeme.
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views my own.