Edvard Ingjald Moser
@EdvardMoser
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Professor of neuroscience and Founding Director of @KISNeuro (Kavli Institute for Systems Neuroscience).
Trondheim, Norway
Joined November 2020
I am entering hibernation mode on X. Not the platform for me any longer. I will continue to post on bluesky at @edvardmoser.bsky.social - see you there! @KISNeuro @MayBrittMoser.
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RT @MayBrittMoser: Stay safe and thanks for protecting Europe ❤️ I wish you all the best and victory 🙏.
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Sweeps represent an efficient mechanism for scanning locations in the ambient environment during navigation. Sweep direction could be explained by an algorithm that maximizes cumulative coverage of surrounding space.
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Sweeps in place cells are delayed compared to sweeps in grid cells, pointing to an entorhinal origin. 📍.
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Sweeps are accompanied by, and aligned with, a similarly alternating directional signal in a discrete population of direction-tuned cells with putative connections to the #gridcells 🗺️.
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Sweeps extend into never-visited space inaccessible to the animal, and persist during REM sleep, pointing to an intrinsic “hardwired” network mechanism for the phenomenon. 🧹🌋🧹🌊🧹.
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Sweeps are time-locked to the local theta rhythm. Each theta cycle has one sweep. Sweeps alternate their direction between left and right on successive theta cycles.
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#Neuropixels recordings show that populations of #gridcells and place cells encode a position signal that within a 125-ms theta cycle sweeps outwards from the animal’s location into the ambient environment, alternating stereotypically between left and right directions. 🧹🧹🧹
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A hardwired high-speed sweep mechanism by which #gridcell populations scan the environment during navigation: Now out in @Nature ! .Thanks to @azvollan and @brickobrain for this heroic work! @ERC_Research @MayBrittMoser @KISNeuro @NTNU @forskningsradet .
nature.com
Nature - A study in rats proposes a mechanism for how the brain maps the surrounding environment, including places it has never seen, by alternating left and right forward sweeps in successive...
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Congratulations with the prestigeous Young Talents grant, @WikiZong. More on where you will find me in the future. @KISNeuro @KavliFoundation @forskningsradet @ERC_Research @MayBrittMoser.
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One of the most engaging meetings I have been to: 3 long talks per day, questions and discussion during talks, long follow-ups between talks, friendly atmosphere. Not unexpectedly the meeting generated many new ideas! @ERC_Research @KavliFoundation @KISNeuro #KiloNeurons.
Our extended workshop “Theories of neural computations in the era of large-scale recordings” has officially wrapped up. Thank you to all our wonderful speakers, poster presenters, attendees, & staff for making this event a great success. Take a look at the highlights 👀. 🧵 1:5
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Thanks so much to @ChanZuckerberg for helping us to spread @WikiZong ´s miniscope across the world. We knew already in 2022 that it would revolutionise neural population recordings but we needed CZI help to make it available to other labs! @KISNeuro @MayBrittMoser @ERC_Research.
Imagine a 🪟 into the brain where we could see memory, imagination + decision-making in real time. Researchers @kisneuro + @TheMini2P have developed a tiny microscope that is so light we can observe completely new aspects of the living brain in action. 📸 Rita Elmkvist Nilsen
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RT @MayBrittMoser: Have you ever wondered why the progression of time does not feel linear? 🕰️👀 Neuropixels recording in lateral entorhina….
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The flow of experience, expressed in trajectories of neural population activity, is discretized at event boundaries. Implications for how we recall time (and fail to). Creds:Ben Kanter, Christy Lykken, @MayBrittMoser, #KiloNeurons @ERC_Research @KISNeuro .
biorxiv.org
Our experience of the world is a continuous stream of events which must be segmented and organized simultaneously at multiple timescales. The neural mechanisms underlying this process remain unknown....
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The findings overturn the concept of grid (and place) signals as a static representation of space and introduce instead grid (and place) cells as part of a circuit that systematically, dynamically and rigidly patrols the surrounding space. 8/8
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Sweep directions can be explained by an algorithm that maximizes cumulative coverage of surrounding space. Sweeps may serve as a ‘look-around’ mechanism for efficient spatial sampling, allowing maps to be formed much faster than by physical running. 7/8.
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Alternation was observed also in place cells, although at a 15-20 ms delay compared to simultaneously measured sweeps in the entorhinal cortex. 6/8.
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Cross-correlation analyses show that directional cells are often presynaptic to grid cells, as if they directly control the direction of sweeps, via conjunctive grid x direction cells as an intermediate layer. 5/8.
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The sweeps are accompanied by a similarly alternating directional signal in a separate population of direction-modulated cells, previously referred to as head direction cells. Their decoded direction alternates around the animal’s head direction, in alignment with the sweeps. 4/8.
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