Marder Lab
@MarderLab
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Eve Marder's lab at Brandeis University
Brandeis University
Joined December 2015
Very happy to see out work on neuronal homeostasis published in PNAS! Yay! I am very proud and happy to finally contribute to my favorite line of research in the Marder Lab. https://t.co/Bh13df2bKL
pnas.org
Neurons and neuronal circuits must maintain their function throughout the life of the organism despite changing environments. Previous theoretical ...
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Here's our new paper relating neuronal morphology and robustness in output to changes ion channel densities!
pnas.org
Biological neurons show significant cell-to-cell variability but have the striking ability to maintain their key firing properties in the face of u...
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New review paper from the @MarderLab! Latest insights from small rhythmic neural circuits on individual variability, resilience and neuromodulation of neurons and neural networks. https://t.co/ntc5K6c6FR
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If you are attending #FENS come see @ThiagoBurghi poster featuring collaborative work between @Timothy0Leary lab and @MarderLab on estimating models of neuronal dynamics using ANN to predict and control the behavior of biological neurons in real-time. S05-513, July 12, 9:30-13:00
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How does climate change affect nervous systems? Read our new review to find out! @grassfoundation @SfNJournals
https://t.co/yT79Qvut8K
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New paper out in @eLife by superstar postdoc @neurochart! Reciprocally inhibitory circuits operating with distinct mechanisms are differently robust to perturbation and modulation
In the positive news, our paper is out in @eLife! Read about how the mechanism of oscillation affects neural circuits' resilience to perturbations and neuromodulation. @MarderLab
https://t.co/XbI1AcH6Xw
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In the positive news, our paper is out in @eLife! Read about how the mechanism of oscillation affects neural circuits' resilience to perturbations and neuromodulation. @MarderLab
https://t.co/XbI1AcH6Xw
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Motor neurons in the crab stomach innately respond to blue light! Read about it in our latest paper
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#SfN21 Albert & Ellen Grass Lecture today at 3:30 pm (ET) | From the Neuroscience of Individual Variability to Climate Change Read the accompanying review by Eve Marder & Mara Rue in #JNeurosci
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Pairs of neurons that inhibit each other can form simple oscillators with complicated underpinnings which make them differently robust to external influences. Read about our hybrid neuronal circuits that reveal these dynamics!
Happy to share our new preprint describing the features underlying robustness of reciprocally inhibitory circuits to alterations in circuit parameters, temperature, and neuromodulation. @MarderLab
https://t.co/ROlB2pEVX1
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Compartment-based modeling reveals interactions of diameter, myelination, and the Na/K pump activity to determine the reliability of high-frequency spike propagation in axons. Read about it here: https://t.co/WKAPlSoBq7
pnas.org
Axons reliably conduct action potentials between neurons and/or other targets. Axons have widely variable diameters and can be myelinated or unmyel...
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Today, #Neuromatch CN students are learning about dynamic networks. For that, our artist and volunteer Katya Morozova (@neurochart) has created this amazing illustration to be the cover for the day. Check out her Instagram channel for even more sciency art 🔬🖼
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Executable Research Articles (ERAs) are changing how we publish science at eLife, letting authors share code interactively in their papers. Hear about authors’ experiences with this truly web-native format: https://t.co/mbGkFdQo4n
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But wait, there's more! We've made the *full* history of all git repositories public -- no more splat commits with "initial commit" messages being the only thing you see. All the failed attempts, alternate directions, interesting but flawed ideas are out there for all to see.
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The days of "data/code available on request" *should* be behind us!
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Want to reproduce a figure *exactly* as it is in the paper? It's as simple as: 1. git clone <code urls> 2. Download the data 3. Run the script, e.g.: fig_embedding
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We're proud and excited to support reproducible research with our latest project! Here's what it means: 1. You can download the data needed to make figures right now! 2. You can download ALL the analysis code, scripts written for this project from Github Thread, links below ⬇️
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We show that state probabilities are differentially...um...*modulated* by neuromodulators
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