Jim Heys
@jamesgheys1
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Prof @UUNeurobiology. Father, scientist. ❤️being lost in music and ethereal landscapes. He/him 🇨🇦🇺🇸
Salt Lake City, UT
Joined July 2016
I am thrilled to announce that the first paper from my lab has been published! 🎉 Check it out here: Huge congratulations to the incredibly talented team, led by co-first authors @ErinBigus and @Hyunwoo_Lee5223! 1/N.
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RT @ZimmermanNeuro: I’m very excited to share that I will join the University of Utah Department of Neurobiology as an Assistant Professor….
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RT @JasonSynaptic: Love seeing colleagues and friends #slay! Congrats to @moriel_z @UUtah for being becoming an @HHMINEWS Hrabowski scholar….
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RT @sharilwiseman: Come join our team! Let me know if you have any questions. The text of the ad is a bit confusing.
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RT @JasonSynaptic: My inspiring colleague @GreggNeuroLab was diagnosed with terminal stage breast cancer, a rare disease in males. He came….
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Congratulations to the Rising Stars in Neuroscience – Class of 2025! This is one of my favorite events each year, and this year was no exception. Keep an eye on this incredible group of scientists—they’re doing amazing things!
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RT @JoJoLab5: I’m excited to share a new paper from the lab. The study led by Xiaowei Gu reveals how the mPFC encodes complex emotional mem….
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RT @TJRyan_77: Excited to share our new study:. "Cold memories control whole-body thermoregulatory responses" . by @Andrea_MZamora, @Akaron….
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Interesting set of questions at the interface of AI and neuroscience, and a fantastic cast of scientists to offer their ideas. Looks like another great transmitter article!.
How can we make progress in developing a general model of neural computation rather than a series of disjointed models tied to specific experimental circumstances, ask @evadyer and Blake Richards @tyrell_turing in the latest entry in our NeuroAI series.
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Heading to #COSYNE2025?.Don't miss our latest work, led by Jack Bowler, on curriculum learning! We've uncovered how recurrent networks in the entorhinal cortex and RNNs develop specific dynamical mechanisms for abstract learning, depending on how they are trained. Poster #1-058
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RT @Sheffield_Lab: Our latest research, led by @AntoineMadar, on what #SynapticPlasticity rules shape CA1 and CA3 representations in the hi….
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RT @zamakany: Very excited that this cute study is finally out as a preprint. It began in @neurobridges 2023 when Tal Nahari approached me….
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RT @VikramGadagkar: Excited to share our latest work on songbirds showing dopamine guides learning of natural behavior .
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Just spent 30 hours reviewing for an NIH study section set for Thurs—now postponed indefinitely. 20 other scientists did the same X multiple sections. Huge waste of time, resources, and funding, with real costs for science and economy. @realDonaldTrump admin is bad for everyone.
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This looks so interesting!.
New study from our lab, in collab with @erlichlab . We developed novel frameworks to study multi-agent decision-making in mice. Mice flexibly shift their value preference under social competition, by integrating real-time self and opponent information!.
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RT @ivancalcantara: My PhD work is out!. How do mothers balance tending to their own needs, such as eating, and taking care of their offspr….
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RT @JasonSynaptic: For the past decade all I’ve heard from the GOP is how the constitution is under attack. Free speech. Guns. Yet, when th….
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RT @doristsao: I, and every scientist I've talked to, believe the end result of this devastating cut will be that Universities will simply….
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RT @PattyMurray: Trump's proposal is ILLEGAL & amounts to an indiscriminate funding cut for research centers of all sizes, NOT just Ivies.….
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This would cripple biomedical research at public institutions like @UUtah, threatening life-saving treatments for cancer, Alzheimers, and Parkinsons. I urge our representatives to act now to protect the funding that makes this research possible. @CurtisUT @GovCox @CelesteMaloyUT.
Last year, $9B of the $35B that the National Institutes of Health (NIH) granted for research was used for administrative overhead, what is known as “indirect costs.” Today, NIH lowered the maximum indirect cost rate research institutions can charge the government to 15%, above
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