Brent Doiron
@BrentDoiron
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UChicago Theoretical Neuroscientist. Director of the Grossman Center for Quantitative Biology and Human Behavior.Asking how neural circuitry makes brains work.
Chicago, IL
Joined December 2020
Come join our Center
The University of Chicago's Grossman Center for Quantitative Biology and Human Behavior seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience. Apply now! https://t.co/YCpDjTbq0a
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Our latest research, led by @AntoineMadar, on what #SynapticPlasticity rules shape CA1 and CA3 representations in the hippocampus during familiarization has just been published in @NatureNeuro! Read here:
nature.com
Nature Neuroscience - Madar et al. report that behavioral timescale synaptic plasticity (BTSP), not spike-timing-dependent plasticity, explains heterogeneous place fields shifting in the...
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Applications of free probability to the diversity of response and variability in neuronal networks Discover NITMB-supported research from @BrentDoiron (Heinrich Kluver Professor, Neurobiology & Statistics, @UChicago) and @djfreedman (Professor, Neurobiology, @UChicago)! 🔗👇
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While I question the 90% figure, I agree with the core sentiment. However, I believe this will change significantly within the next decade or two due to improved recording methodologies, theoretical advances, and computational approaches in our understanding of how the brain
This is a controversial claim, but in my experience, more than 90% of the time, when people bring up neuroscience during explanations of psychological phenomena, the neuroscience adds nothing of value to the explanation other than making the explanation *seem* more authoritative
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This was grad student Brent (I used to have a fro and just shove it all in a hat, and exclusively wear graphic t-shirts)
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My lab (+ @sepalmerNeuro and Jorge Jaramillo) dressed up as me for Halloween. They all chose a different facet of me.
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This prize was an enormous honor from a community I have liked and admired for many years. I'm so grateful to @siagdata as well as my many mentors, collaborators, postdocs, and students.
Congrats to Rebecca Willett for receiving the 2024 SIAM Activity Group on Data Science Career Prize! Her lecture, "Mathematics in Scientific Machine Learning," is exploring AI/ML’s role in scientific discovery & integrating mathematical models. Read more: https://t.co/sCvdD4pLbJ
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Are you a computational neuroscientist on the job market? Apply to come work with an amazing community @YaleNeuro! Open search for computational and theoretical neuro candidates, deadline 11/30. Always happy to chat if you have questions about the dept or environment!
📢Faculty job! @YaleNeuro is hiring tenure-track faculty members in computational or theoretical neuroscience.🖥️🧠 This is in addition to our broad neuroscience search. Deadline Nov 30. Please share! https://t.co/ouQ6wFIFtR
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We are excited to share our new method, SNOPS (Spiking Network Optimization using Population Statistics), published in @NatComputSci. It was led by @Shenghao_W, with @cc_huang11, Adam Snyder, @SmithLabNeuro, and @BrentDoiron. https://t.co/Wnn7Ufp3k0 (1/n)
nature.com
Nature Computational Science - An automatic framework, SNOPS, is developed for configuring a spiking network model to reproduce neuronal recordings. It is used to discover previously unknown...
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This was a fun project with a great team. Especially @Shenghao_W !
Out now! @YuLikeNeuro, @Shenghao_W, @SmithLabNeuro, @BrentDoiron, @cc_huang11 et al. present a procedure to customize spiking network models that reproduce the population-wide covariability of large-scale neuronal recordings. https://t.co/OQbSGV2hfv ➡️ https://t.co/aiSwuZmbJG
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Come join us in our rapidly growing community of excellent neuroscientists!
We're hiring faculty! The Department of Neurobiology at UChicago is searching for tenure-track faculty. Researchers in cellular, molecular, developmental and synaptic neuroscience are especially encouraged to apply. Visit: https://t.co/rNOwbF0G3w. EOE/Vet/Disability.
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Very cool paper by @d_g_clark and company. A wealth of important results linking aspects of network connectivity (especially low rank structure) to the dimension of population activity.
1/ Excited to share new work with @MarschallOwen, @AlexVanMeegen, and Ashok Litwin-Kumar! "Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks" analyzes how global, spectral structure of connectivity in real-world networks affects collective dynamics.
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Professor David Freedman @djfreedman has been named Interim Chair of the Department of Neurobiology. 👏 https://t.co/ln9s5a79m6
neuroscience.uchicago.edu
Freedman succeeds S. Murray Sherman, who has been chair since 2006.
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The mechanics of correlated variability in segregated cortical excitatory subnetworks | PNAS https://t.co/R4yJS7Uzxn Happy to see the work come out! Congrats to @GHandy50 @algomage and Matt Getz!
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It was great to present at the opening meeting of the NITMB at the beautiful Flatiron institute
Professor @BrentDoiron linked distinct features of neuronal response and presented a theory whereby a more heterogeneous neuronal code leads to better fine discrimination performance through a lowering of the dimension of population covariability at the 2024 NITMB Annual Meeting
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New series: Graduate students are mean. I was telling a graduate student today that I used to hard code the Box-Muller algorithm for generating gaussian random numbers into my Fortran codes. She asked me if I painted a buffalo on my cave wall after I was done. #meanie #silentcry
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A truly fun and deeply worthwhile collaboration. This result will kickstart @GHandy50 @ianOldenburg as they have just started their labs!
Our work using holographic optogenetics to study recurrent activity in visual cortex is out! This work was only possible due to the great collaboration between @AdesnikHillel and @BrentDoiron labs, especially co-firsts @GHandy50 @willyhendricks and myself
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