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Shantanu Jadhav proslijedio/la je Tweet
After >2 years of effort by our team in 7 labs, we present to you: 3 million choices from 101 mice in a standardized decision-making task.
"A standardized and reproducible method to measure decision-making in mice" https://doi.org/10.1101/2020.01.17.909838 …
Story time! 
1/10pic.twitter.com/WBdJh7A0eb
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Shantanu Jadhav proslijedio/la je Tweet
We worked with
@harvardbrainsci to show that distributional RL, a recent development in AI research, can provide insight into previously unexplained elements of dopamine-based learning in the brain. Read the blog: https://deepmind.com/blog/article/Dopamine-and-temporal-difference-learning-A-fruitful-relationship-between-neuroscience-and-AI … (2/2)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shantanu Jadhav proslijedio/la je Tweet
If you formalise Howard Eichenbaum’s ideas about relational memory, you can predict hippocampal/entorhinal spatial responses, but also complex non-spatial things like counting cells, and why hippocampus is important for transitive inference.
@jcrwhittington@TimMuller1https://twitter.com/biorxiv_neursci/status/1173734640747732992 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Shantanu Jadhav proslijedio/la je Tweet
"Her passion and devotion to eLife as a Deputy Editor has left a mark that has made neuroscience our most popular subject" After serving with distinction as a Deputy Editor since April 2015, we thank Eve Marder for her contributions https://elifesciences.org/inside-elife/40ac7626/elife-latest-our-thanks-to-eve-marder …pic.twitter.com/tIWrFJ84Xl
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Shantanu Jadhav proslijedio/la je Tweet
Special issue of Hippocampus on memory replay is out! Lots of cool content incl. intro by
@adredish, articles by@perpl_lab, Barnes and Zugaro labs and commentaries by@Bench_K and@JadhavLab, among others.https://onlinelibrary.wiley.com/toc/10981063/2020/30/1 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
5/ A huge thanks to
@scidrawio for their repository of scientific drawings, which was used in our illustrationsPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
4/ A thread with some interesting videos from this study is here:https://twitter.com/JadhavLab/status/1189698392986980357 …
0:30Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
3/ Another nice description in this NIMH press release from October https://www.nimh.nih.gov/news/science-news/2019/reading-the-brains-map-coordinated-brain-activation-supports-spatial-learning-and-decision-making.shtml …
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2/ A nice description of the study in this news article in BrandeisNOW
@BrandeisNeuro@PsychBrandeis@BrandeisSciencehttps://www.brandeis.edu/now/2019/december/memory-neuroscience-jadhav.html …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
1/ Hippocampal-prefrontal awake replay paper in the new
@NeuroCellPress issue. CA1 reverse replay for retrospection, forward replay for prospection, with opposing learning gradients. CA1-PFC replay supports past recall and future planning for spatial working memory.https://twitter.com/BrandeisNeuro/status/1208035321138548737 …
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(9/n) Coordinated hippocampal-prefrontal replay distinguishes actual choices and is stronger for taken vs. not-taken paths, thus supporting past recall and future decisions for spatial working memory.
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(8/n) For spatial working memory rules, reverse and forward replay persistently mediate retrospective and prospective evaluation of both available past and future paths respectively.
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(7/n) For spatial reference memory rules, opposing learning gradients for hippocampal replay prediction of paths. Reverse replay predicts taken past paths only during early learning, and forward replay prediction of taken future path emerges after learning.
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(6/n) Reverse hippocampal replay supports retrospection for learning paths leading to goals, and forward hippocampal replay supports prospection for planning future choices.
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(5/n) Key points: We use continuous tracking of hippocampal (CA1) - prefrontal (mPFC) ensembles throughout W-maze learning to ask how replay supports both goal-directed learning and memory-guided decision making.
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(4/n) Replay decoding contd. Hippocampal forward replay evaluation of possible future paths…pic.twitter.com/pboYMwMP3f
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(3/n) Replay decoding contd. Hippocampal forward replay of taken future path…pic.twitter.com/doeVbA1KQL
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(2/n) Some neat replay decoding videos from the beautiful data for the new Neuron paper. Hippocampal reverse replay of taken past path...pic.twitter.com/Jj7OwwYn7G
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New paper from the lab by Justin Shin and Wenbo Tang in Neuron
@NeuroCellPress Dynamics of Awake Hippocampal-Prefrontal Replay for Spatial Learning and Memory-Guided Decision. See also press release from@NIMHgov in previous tweet https://www.cell.com/neuron/fulltext/S0896-6273(19)30785-8 … (Tweet 1/n)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New paper from the lab in Neuron
@NeuroCellPress along-with a press release from@NIMHgov! Awake hippocampal-prefrontal replay for both spatial learning and memory-guided decision making. Reverse replay for learning from the past, and forward replay for planning future decisions.https://twitter.com/NIMHgov/status/1189560610985369600 …
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and
), helping rats learn from past decisions and plan where to go next: