zoran

@ZoranTiganj

Neuroscience and AI researcher at Boston University

Vrijeme pridruživanja: listopad 2012.

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  1. proslijedio/la je Tweet
    30. sij

    Fantastic new work from Loren Frank's group: Uncovering the Neural Basis for Hypothetical Thinking in Rats

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  2. proslijedio/la je Tweet
    30. sij

    An instant classic from the Frank group...excited to read the final version of this work. Constant Sub-second Cycling between Representations of Possible Futures in the Hippocampus

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  3. 18. sij

    An abstract language of thought for spatial sequences in humans

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  4. 9. sij

    Environmental anchoring of grid-like representations minimizes spatial uncertainty during navigation

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  5. proslijedio/la je Tweet
    4. pro 2019.

    Up now on BioRxiv – exceptional work (and our first 2P paper) by Mark Plitt! We show that hippocampal neural representations for environmental contexts can be precisely predicted by knowing an animal’s prior experience.

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  6. proslijedio/la je Tweet
    27. stu 2019.

    Humans perform “mental time travel” across memories for goal-directed decisions. Our new algorithm, also based on episodic memory retrieval, enables AI agents to perform long-term credit assignment. Paper: Code:

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  7. 29. stu 2019.

    Capsule Networks as Recurrent Models of Grouping and Segmentation

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  8. 23. stu 2019.

    Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks

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  9. 18. stu 2019.

    The Human Brain encodes a Chronicle of Visual Events at each Instant of Time

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  10. 15. stu 2019.

    Hippocampal spatial memory representations in mice are heterogeneously stable

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  11. proslijedio/la je Tweet
    13. stu 2019.

    Save the date! Submissions for open from November 29, 2019 - February 3, 2020. For guidelines and more info, check out the website:

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  12. proslijedio/la je Tweet
    13. stu 2019.

    The present is only meaningful with respect to the past and future. Super work!

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  13. proslijedio/la je Tweet
    22. srp 2019.

    This is a much better version of capsules.

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  14. proslijedio/la je Tweet
    16. svi 2019.

    Computational neuroscience/psychiatry experts: Come and join us! NIMH is hiring at the Program Officer level (GS 12-15). This is a tremendous opportunity to make an impact in a burgeoning up and coming field. Positions will be adv…

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  15. proslijedio/la je Tweet
    21. svi 2019.

    In this new paper, we show how human inferential errors can be understood through the lens of "learning to infer"

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  16. proslijedio/la je Tweet
    16. svi 2019.

    To synchronize with the hippocampus, medial entorhinal cortex would have to activate in a traveling wave.🌊🌊🌊🌊 Does it? It does! The twist? The speed varies across each 🌊. Spiking onset = fastest (⏫ sync), offset = slowest (⏬ sync) 🤔 Check it out!

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  17. proslijedio/la je Tweet
    7. svi 2019.

    Thread about our new paper on learning the structure of variable order sequences. Imposing a biologically-inspired sparsity structure alleviates the credit diffusion problem in HMMs! Also relevant for neuroscience... (1)

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  18. proslijedio/la je Tweet

    If you’re interested in what deep reinforcement learning could teach us about how the mind works, take a look at our latest paper: “Reinforcement learning, fast and slow”

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  19. proslijedio/la je Tweet
    25. tra 2019.
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  20. proslijedio/la je Tweet
    9. tra 2019.

    Neural population dynamics in prefrontal cortex and hippocampus during paired-associate learning

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