Eric Garr
@garrfacePostdoc @ Johns Hopkins. Behavior, brains, biking, bagels. *I rarely use Twitter anymore. Find me on Bluesky.
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@JanakLab
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@marykaylobo
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My first postdoc paper is now published! See here for a description of the paper's findings: tinyurl.com/5t3mkhjb science.org/doi/10.1126/sc…
In this perspective we discuss task-driven & data-driven models as well as how they pave the way towards causal neuroscience. We focus on the vision, sensorimotor control and language processing.
✨🥰 check out our article - and cover 🤩- about Decoding the Brain in @CellCellPress cell.com/cell/fulltext/… We review the mathematics, current approaches, and muse about the future… #BCI #neuraldecoding #neuroAI Thanks to my awesome co-authors Adriana Perez Rotondo,…
Our behavioural time scale plasticity paper is out in @Nature ! Congrats @neuroAnant , Yoshi, and others! nature.com/articles/s4158…
Paper of the week: Our collaborative study with Yihong Yang's imaging lab, published in @npp_journal (first author: Zilu Ma), on the role of the dorsal striatum in incubation of opioid craving after voluntary abstinence in rats pubmed.ncbi.nlm.nih.gov/39300270/
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function. @vijay_mkn explains: thetransmitter.org/dopamine/dopam…
Our paper on how neurons represent past and future events to form a continuous timeline--just like how we intuitively experience time--is now published! pnas.org/doi/10.1073/pn…
Neuronal firing rate diversity lowers the dimension of population covariability biorxiv.org/cgi/content/sh… #biorxiv_neursci
Advances in the labelling and selective manipulation of synapses nature.com/articles/s4158…
Thrilled to announce the latest study from our lab, spearheaded by Ph.D student, Ellie Brown (@elliesphere)! See below for a summary of the main findings. biorxiv.org/content/10.110…
How can memories persist in the brain when their properties and supporting biological substrates change over time and experiences? Our latest work newly published in @ScienceMagazine proposes that a balance between memory dynamics and persistence is achieved through the…
Almost three years in the making, the preprint is out! We take another stab at the question: How do humans learn from reinforcement? (Spoiler alert: the answer is _not_ Reinforcement Learning). Huge thanks to the dream team: @summerfieldlab @nathanieldaw @kevinjmiller10
New #RLC2024 paper Three Dogmas of Reinforcement Learning joint w/ @mark_ho_ and @aharutyu! arxiv.org/pdf/2407.10583 We reflect on where our scientific paradigm needs adjustment, and suggest three departures from previous conventions. Curious to hear what folks think! 🧵
Gallistel's Rate Estimation Theory is an important but still under-appreciated set of ideas about the nature of associative learning. I've developed them in a new direction: osf.io/preprints/psya… The TL;DR is that you can do Bayesian rate estimation with error-driven learning.
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Who to follow
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The Janak Lab
@JanakLab -
Dr. Melissa Sharpe
@MelissaJSharpe -
Dr. Daniel Castro
@FlanBrain -
Mary Kay Lobo
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David Barker
@DavidBarker_PhD -
Susan Sangha, PhD
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Robinson Lab
@RobinsonLab -
patricia janak
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David Ottenheimer
@djottenheimer -
Saunders Lab-BOO-tory 🎃
@SaundersLab_ -
Dave Root
@NeuronRoot -
Sam A. Golden
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Dr. Anna Radke 🐁🍸👩🔬
@aradprof -
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