Shantanu Jadhav

@JadhavLab

We study hippocampal-cortical interactions in memory-guided behavior. Our lab is part of the Neuroscience and Psychology programs at Brandeis University.

Vrijeme pridruživanja: studeni 2017.

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  1. 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" Story time! 🧵👇 1/10

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  2. proslijedio/la je Tweet
    15. sij

    We worked with 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: (2/2)

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  3. proslijedio/la je Tweet
    16. ruj 2019.

    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.

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  4. proslijedio/la je Tweet
    13. sij

    "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

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  5. proslijedio/la je Tweet
    8. sij

    Special issue of Hippocampus on memory replay is out! Lots of cool content incl. intro by , articles by , Barnes and Zugaro labs and commentaries by and , among others.

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  6. 21. pro 2019.

    5/ A huge thanks to for their repository of scientific drawings, which was used in our illustrations

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  7. 21. pro 2019.

    4/ A thread with some interesting videos from this study is here:

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  8. 21. pro 2019.
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  9. 21. pro 2019.
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  10. 21. pro 2019.

    1/ Hippocampal-prefrontal awake replay paper in the new 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.

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  11. 30. lis 2019.

    (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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  12. 30. lis 2019.

    (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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  13. 30. lis 2019.

    (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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  14. 30. lis 2019.

    (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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  15. 30. lis 2019.

    (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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  16. 30. lis 2019.

    (4/n) Replay decoding contd. Hippocampal forward replay evaluation of possible future paths…

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  17. 30. lis 2019.

    (3/n) Replay decoding contd. Hippocampal forward replay of taken future path…

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  18. 30. lis 2019.

    (2/n) Some neat replay decoding videos from the beautiful data for the new Neuron paper. Hippocampal reverse replay of taken past path...

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  19. 30. lis 2019.

    New paper from the lab by Justin Shin and Wenbo Tang in Neuron Dynamics of Awake Hippocampal-Prefrontal Replay for Spatial Learning and Memory-Guided Decision. See also press release from in previous tweet (Tweet 1/n)

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  20. 30. lis 2019.

    New paper from the lab in Neuron along-with a press release from ! 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.

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