
Michael Lynn
@MichaelBLynn_
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Postdoctoral scientist, Lak Lab, Oxford 🧠| Serotonin, neural computation, decision-making, #OpenSource tools | Film & darkroom enthusiast, runner
Oxford, England
Joined October 2013
Some personal updates: Defended my PhD in Neuroscience @OttawaCmm, I had a blast working on serotonergic circuitry, synapses, and population coding with @JCBeique and @NeuroNaud. Arrived in Oxford, UK last month to start a postdoc with @ArminLak! Excited for next steps!.
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RT @toschi_chiara: cool survey going around by a team of fellow neuroscientists on research and publishing dynamics in neuroscience, if you….
forms.office.com
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Come check out our poster on neuropixels, perception and cortical/subcortical routing (F17) at @SfNtweets led by the supremely talented @NeuroRussell with @ArminLak @paqio
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RT @NeuroRussell: If you are at @SfNtweets, check out my poster tomorrow AM on my PhD work so far with the brilliant @MichaelBLynn_ and @Ar….
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RT @ArminLak: Three days of brainstorming, useful discussions, team building & fun with amazing lab members. In vivo daily experiments and….
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RT @OcanaSantero: At #FENS2024? Check poster 37 on Saturday to see how genetics, antidepressants and aversive experience shape developmenta….
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RT @NeuroNaud: What regulates serotonin release? Michael mapped out the salient network mechanisms and release dynamics:.
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RT @ivanalexlazarte: Interested in claustrum, amygdala, pfc, circuit mapping or just the brain? Check out my poster (499) this afternoon at….
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And thanks to @JCBeique and @NeuroNaud for ideas and supervision - a great experimental/computational collab!.
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@yulonglilab Check out the original tweeprint if you want to learn more about our original findings!.
🚨Preprint alert!🚨. Interested in recurrent dynamics and computations in the serotonin system? Check out my main PhD work with @jcbeique (in collab. w/ @neuronaud), spanning physiology, network dynamics and behavior!. 🧵👇.
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@yulonglilab Overall these new results are exciting for us because they more rigorously explore this unsuspected slow serotonergic recurrent inhibitory network in the raphe, as well as pinpointing a set of robust, core computations that it supports.
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@yulonglilab We also conducted new comparisons between recurrent inhibition and classical GABAergic feedforward inhibition in raphe, showing the latter appears to be much weaker than recurrence under our preparation
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@yulonglilab Winner-take-all dynamics between subnetworks were likewise robust to network parameters, like spatial connectivity profiles and input overlap, thanks to this normalizing property of short-term recurrent facilitation.
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@yulonglilab Extensive new computational simulations demonstrated a surprising feature of synaptic facilitation: it allows network activity to track input frequency while normalizing for precise connectivity details (like the fraction of 5-HT neurons receiving an input).
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We directly measured serotonin signals in raphe using GRAB5-HT sensors from @yulonglilab, revealing strong synaptic facilitation dynamics and a characteristic spatial structures of serotonin release (hotspots) that scale with frequency
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Excited to share our updated preprint characterizing a novel, slow recurrent circuit motif in raphe!.
biorxiv.org
Serotonin (5-HT) neurons in the dorsal raphe nucleus (DRN) receive a constellation of long-range inputs, yet guiding principles of local circuit organization and underlying computations in this...
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RT @NeuroRussell: If you are attending @FENSorg today, check out my poster on my PhD work so far with the brilliant @MichaelBLynn_ and @Arm….
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Check out our FENS poster on perceptual signals in subcortical networks, led by fantastic DPhil student @NeuroRussell!.
(PS03-27AM-115) @NeuroRussell @MichaelBLynn_ on cortico-cortical vs cortico-striatal signal propagation during decision making.
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