Jaan Aru

@jaaanaru

Neuroscientist in Berlin, raising two kids. I won't figure out how the brain works but I will die trying. Studying mice, men and machines. I tweet new papers

Vrijeme pridruživanja: prosinac 2016.

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  1. 29. sij

    Predictive Routing: "There are no special error-detection circuits or mechanisms." There are instead pathways that are gated by predictions and thus can be activated by unexpected inputs. Amazing monkey electrophysiology work by Andre Bastos

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  2. 28. sij

    Interested in how learning happens in our brains? Want to know how one could use this knowledge to enhance learning in machines and in the classroom? You will love the new book by . We are "homo docens – the species that teaches itself"

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  3. 21. sij

    Modulation of plasticity: Place cell reorganization by input from locus coeruleus (LC) to hippocampus (CA1). Activation of LC-CA1 axons near the reward induces place cell overrepresentation, inhibition of them suppresses it. Kaufman, Geiller & Losonczy

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  4. 16. sij

    Knowledge enhances perceptual processing. Here and show that word context boosts the representational fidelity of individual letters in early visual cortex & increases the coupling to the reading network. Great!

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  5. 15. sij

    The brain represents multiple future outcomes simultaneously and in parallel. Cool new work by , with single-unit recordings from mice confirming the predictions coming from AI side.

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  6. 15. sij

    People doing I will be giving two talks about "art and the brain" in Estonia. I am looking for artful images of neurons. If you wish your work to be shown, please post it as a reply to this tweet. As an appetizer, here's by Christian Ebner. Please RT!

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  7. 2. sij

    Brains are amazing. Our lab demonstrates that single human layer 2/3 neurons can compute the XOR operation. Never seen before in any neuron in any other species. Out now in . Congrats Albert, Tim  & CO

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  8. 2. sij

    During my two years in the lab of I have witnessed several major discoveries by my labmates. I want to remind young scientists (and mainly myself) that there is no easy way: discoveries take a lot of time, effort and you cannot force them to happen. Happy 2020!

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  9. 11. stu 2019.

    Why you need a cortex? Back-to-back papers in showing that cortex is necessary for learning about complex stimuli. Bathellier group shows this for appetitive learning, Letzkus group for fear learning. Amazing. &

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  10. 1. stu 2019.

    Track the body to understand the mind. I didn't know that one can decode so much information about mental processes simply from the trajectories of finger movements! Amazing. Great review by and others

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  11. 28. lis 2019.

    Lessons from AI research for systems neuroscience: Focus on figuring out objective functions, the learning rules and the architectures and you will make progress in understanding the brain. Great perspective by and everyone else

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  12. 21. lis 2019.

    Disinhibition is the key for learning! Adaptive disinhibitory gating by VIP interneurons in amygdala enables learning about unexpected, salient events. By & Andreas Lüthi lab

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  13. 18. lis 2019.

    Capturing rat behavior with reinforcement learning! It's not as simple as you might think🙂. Working memory and the incorporation of individual dynamic preferences are needed. But you don't need model based RL. David Kastner, Loren Frank, Peter Dayan & co

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  14. 16. lis 2019.

    Given the advances in understanding neural circuits this 20 million could have been used for neurobiological research to develop *new* and *testable* circuit and cellular level theories of consciousness. GWT is too unspecific. IIT is untestable. I'm sorry.

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  15. 3. lis 2019.

    Interested in neurobiology of meaning? In there is a great special issue on language and the brain. Liina Pylkkänen discusses how language builds meaning and lays out directions for future neurobiological research on the combinatory system

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  16. 3. lis 2019.

    The fight over the function of gamma continues. Intracranial data from human visual cortex reveal that gamma oscillations are only induced by specific structural and chromatic stimulus features, limiting their role in visual processing. by

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  17. 1. lis 2019.

    During unconsciousness spiking activity was selectively reduced in deep cortical layers and central thalamus. Gamma-frequency stimulation of the central lateral thalamus of anesthetized macaques restored consciousness. Amazing work from Yuri Saalmann lab

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  18. 30. ruj 2019.

    Cross-areal rhythmic neuronal coordination is a key process mediating cognitive control in response to conflict. Evidence from responses of single neurons and local field potentials in human patients from two prefrontal areas (dACC & dlPFC).

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  19. 26. ruj 2019.

    More complex perceptual decisions engage more diverse and spatially distributed computations across the cortex than simpler decisions (even when sensory stimuli and motor output are held constant.)

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  20. 25. ruj 2019.

    Robust generalization in AI needs good inductive biases. and others discuss several ideas for how neuroscience can guide the search for better inductive biases by providing useful constraints on representations and network architecture.

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