Brain Matters is a podcast about neuroscience and the scientists behind the bench. Subscribe on iTunes https://teapawt.net/t.co/btqrSPZL4e #scicomm
Austin, Texas
Joined May 2013
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Anthony here – excited to share work from my postdoc.
We found that ventral hippocampal somatostatin interneurons play a crucial role in extinction memory expression of both negative and positive associations.
Here’s the longer story:
biorxiv.org/content/10.1101/…
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Our recent work presents a 1-gram wireless mesoscope for cortex-wide imaging at single cell resolution in naturally behaving mice, published in @Nature . It's interesting to see large-scale neural activities in multiple mice within a very natural habitat. rdcu.be/iGFq4KbdWuza
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New paper from the lab. Using longitudinal ca imaging, activity-dependent tagging and optogenetics, we show that newly allocated fear engram neurons in amygdala undergo a brief period of coordinated “offline reverberation” immediately after learning.
pnas.org/doi/10.1073/pnas.26…
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Out now:
Our AI team at Mila/McGill reveals how hallucinations arise in neural networks in global landmark study
In a five year effort, our lab has led a consortium across three continents to conduct the world’s largest study on how psychedelic drugs lead to instability and chaos that derails normal function in network circuits.
- Brain-scanning allowed to examine the activity changes inside neural networks in real time, as participants were under the influence of a psychedelic substance, compared to sober state.
- 10x bigger study than any previous brain research in psychedelics (>500 brain scans, hundreds of participants).
- Our study focused on psilocybin, lysergic acid diethylamide (LSD), mescaline, dimethyltryptamine (DMT), and ayahuasca.
- Main finding: 5 different drugs have something in common; they cause “flattening” of the hierarchy of network systems; higher information-generating networks form cross-layer short circuits with lower-level information-receiving network for seeing and hearing.
- Published in Nature Medicine; one of the most prestigious scientific journals.
Our systematic assessment explains key mechanisms of how hallucinations come about in human brain circuits.
Read our article: nature.com/articles/s41591-0…
Nature News: nature.com/articles/d41586-0…
The New York Times: nytimes.com/2026/04/07/healt…
National Geographic: nationalgeographic.com/healt…
The Guardian: theguardian.com/science/2026…
Mila: mila.quebec/en/article/milas…
McGill: mcgill.ca/newsroom/channels/…
@C_Angermayer, @RickDoblin, @ProfDavidNutt, @EricTopol, @Drug_Researcher, @hubermanlab, @tferriss, @DeepakChopra, @foundmyfitness, @PeterAttiaMD, @bryan_johnson, @dwarkesh_sp, @lexfridman, @labenz, @richroll, @paytonnyquvest, @PeteRei, @reidhoffman, @COMPASSPathway, @DillanDiNardo, @Gerd_Gruender, @Helus_Pharma, @definiumtx
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Music helps to understand the mind and the brain. Throughout the history of science, metaphors have shaped how we understand complex phenomena. The brain-as-computer metaphor has guided decades of theories and research. We propose music as a scientific metaphor for understanding the mind and brain via triplicate interfaces (listener, performer, composer) and a compound set of predictions. Multiple domains of music can be mapped onto different neural, cognitive and intersubjective processes such as network coordination, prediction, emotion and meaning. Neurocognition is not static but a dynamic, embodied, and time-sensitive system, much like a self-organized orchestra in which multiple processes interact simultaneously. Drawing on synergetics, predictive processing, and embodied cognition, we outline musical principles illuminating cognitive and action integration across time, offering new conceptual frameworks and testable predictions for future research. I enjoyed writing this piece with these stellar authors: @Kaiameye, @acolverson1, Christopher Bailey, @brucemillerucsf, @dafneduron90, Nicholas Johnson, Olga Castaner, @PierLuigiSacco, Eoin Cotter and Lucia Melloni. Science, like music, advances through new ways of listening to complex systems: doi.org/10.1016/j.neubiorev.…
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SUPER EXCITED! 2024 Emerging Scholars Program Awardees are @VanderbiltU’s @JoseC_Zepeda, @CUanschutz’s @egstokes7 w/ HONORABLE MENTION to @CUNY's Katherine Anderson @zebrafinchkt. CONGRATULATIONS🎉JOIN US 6/21, 12:30pm as awardees present their work. RSVP👉tinyurl.com/2wpts3pm
RIP Steve Albini, thanks for all the music and being a legendary hater.
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Between the banning of TikTok and the long-planned crackdown on anti-Israel speech and activism on US college campuses -- based on the familiar claim that it is racist hate speech -- the last six months have seen the greatest success for the pro-censorship movement in years.
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UT Austin students chanting “You don’t scare us” even as countless militarized Texas Troopers swarm their campus, attack their protest, and bring in horses. This movement will not be stopped.
Finally, our results were not limited to fear extinction. We observed a similar involvement of vCA1 SST-INs in appetitive extinction retrieval.
We hypothesize that once a context is rendered ambiguous following extinction learning, vCA1 SST-INs function like a mnemonic gate that controls whether new or old learning prevails, potentially by biasing which memory-related ensemble or synaptic pathway dominates.
Huge thanks to @melcregor for all the support and guidance along the way, as well as help from amazing scientists @neurotriee, Rasika Iyer, Saqib Khan, and Mazen Mohamed, and all the @SinaiBrain community. And if you like what you see, I’m on the job market!
Manipulating vCA1 parvalbumin+ INs had no effect on freezing. SST-INs appear to play a privileged role in extinction memory expression.
Synaptic drive onto these SST-INs was altered following extinction learning, biasing them to be more excitable.
Optogenetically silencing vCA1 SST-INs impaired extinction retrieval, and stimulating these cells prevented relapse. Importantly, stimulating before extinction learning had no effect, suggesting extinction-dependent plasticity is required for SST-INs to affect freezing behavior.
During relapse, elevated c-Fos expression in vCA1 SST-INs is reversed, suggesting their activity relates to extinction retrieval and is subject to opposing modulation by extinction and relapse.
We first used a c-Fos activity screen to identify regions linked to fear or extinction memory retrieval. We discovered that extinction retrieval was associated with increased c-Fos in the stratum oriens layer of ventral CA1, primarily in somatostatin+ interneurons (SST-INs).
While we know a bit about how extinction memories are created, we know very little about how they are *retrieved*. Since retrieving an extinction memory is often a therapeutic goal, identifying extinction retrieval signatures may provide targets to make this learning more robust.