Austin A Coley, PhD
@AustinAColey
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Neuroscientist 👨🏾🔬 | Assistant Professor @UCLA 🐻 | @SCglobalbrain TTI Fellow | @NIH DSPAN F99/K00 scholar
Los Angeles, CA
Joined September 2018
Congrats Assaf and Takaki! 🥳🥳.
Thrilled to share my postdoc work from @takaki_komiyama lab, showing how motor learning reshapes thalamic influence on motor cortex to enable learned movements. Hats off to our collaborators and co-authors for their incredible contributions!.
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RT @SimonsFdn: Applications are now open for the Shenoy Undergraduate Research Fellowship in Neuroscience (SURFiN) program for the 2025–26….
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🔥🔥🔥.
See the amazing line up of speakers for the Catecholamines GRC! Apply for GRC & GRS In these uncertain times we appreciate any donation to support the participants in the GRC & GRS
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It has been incredibly rewarding to build the lab with my team. We got 2 new lasers installed and beaming! .😎🔦
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The NIH has been at the forefront for funding critical scientific discoveries, especially for the prevention and treatment of disorders. Hoping it remains strong through the current turmoil. #ProtecttheNIH 🙏🏾.
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RT @_TheTransmitter: Over the past few weeks, science funding in the U.S. has become shrouded in uncertainty. Ten trainees with diversity-b….
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RT @UofCalifornia: As the world’s leading public research institution, UC depends on @NIH funding for scientific advances that save lives a….
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RT @theNASciences: The winner of the 2025 Pradel Research Award is Anne Churchland of @UCLA! She is being honored for expanding understandi….
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And a super big shout out to my funding for supporting this research over the years @NIH DSPAN award, @NIH_LRP , and @SimonsFdn.
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We aligned facial expression features with mPFC neural population firing
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Lastly, we showed susceptibility and resilience can be decoded and predicted from facial expression dynamics.
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We showed mPFC population dynamics predicts future resilience or susceptibility before stress exposure 🤯
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We used longitudinal 2-Photon imaging to track mPFC valence populations, and PCA to measure cortical dynamics during chronic stress. Chronic mild stress blunts population dynamics and is reversed after Ketamine application.
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First, we used unsupervised k-means clustering to classify susceptibility to unpredictable chronic mild stress, and showed anhedonia classification predicts associative learning performance.
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Check out my new preprint:.Predicting Future Development of Stress-induced Anhedonia From Cortical Dynamics and Facial Expression 🫠.New study out of the @kaymtye.Lab. With my super team @BatraKanha @science_is_hard L. Keyes @rvpamintu @AssafRamot et al.
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RT @doctorpoe: 🤩 Wow! A @Pixar show on which I (wearing my sleep research hat) consulted, Dream Productions, has been released to the world….
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Here is my perspective on using a multidisciplinary approach in neuroscience. One of the top reasons I joined @UCLA. Thanks to the @_TheTransmitter for helping me promote this model to trainees 🤓.
Neuroscience subfields are often siloed. Embracing an integrative approach during training can help change that, @AustinAColey explains:
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My 2P microscope has arrived and lasers are on the way .I'm locked in 🤓
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RT @natblackpostdoc: We're thrilled to announce that the National Black Postdoctoral Association (@natblackpostdoc) was awarded $119,700 fr….
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Incredibly fortunate to receive the NARSAD Young Investigator Grant for the Coley lab🥳 🫡 @BBRFoundation .I'm so excited for this journey!
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