"SmartEM: machine learning-guided electron microscopy", by Meirovitch et al. 2025 (Shavit's, Samuel's and Lichtmann's lab).
"SmartEM: machine learning-guided electron microscopy", by Meirovitch et al. 2025 (Shavit's, Samuel's and Lichtmann's lab).
This *fundamental* study provides new evidence of a change in how microglia survey neurons during the chronic phase of neurodegeneration. #Neuroscience
https://elifesciences.org/articles/107650?utm_source=mastodon&utm_medium=social&utm_campaign=organic
This *fundamental* study provides new evidence of a change in how microglia survey neurons during the chronic phase of neurodegeneration. #Neuroscience
https://elifesciences.org/articles/107650?utm_source=mastodon&utm_medium=social&utm_campaign=organic
"According to current neuroscience, human thinking is largely independent of human language – and we have little reason to believe ever more sophisticated modeling of language will create a form of intelligence that meets or surpasses our own."
Intriguing article by Benjamin Riley (founder of Cognitive Resonance) for @verge.
"According to current neuroscience, human thinking is largely independent of human language – and we have little reason to believe ever more sophisticated modeling of language will create a form of intelligence that meets or surpasses our own."
Intriguing article by Benjamin Riley (founder of Cognitive Resonance) for @verge.
New research reveals how a class of #neurons that help coordinate communication in the #brain link up with their target cells, identifying two #molecules that must be present before synapses, the structures that carry signals between these partners, can form on the target neurons.
#Neuroscience #MolecularBiology #sflorg
https://www.sflorg.com/2026/01/ns01132601.html
🧠 New preprint by Zhong et al. proposes a #synaptic mechanism for #chunking in #WorkingMemory.
Using short-term #plasticity and synaptic augmentation, their model shows how items can be temporarily suppressed and later retrieved as chunks, increasing effective capacity w/o increasing simultaneous activity.
Synaptic Theory of Chunking in Working Memory
Very excited that our whole-mouse-brain analysis pipeline - DELiVR - is published now at Nature Methods. With DELiVR, we built an open-source, easy-to-use pipeline for analyzing image stacks from cleared mouse brains.
Paper: https://www.nature.com/articles/s41592-024-02245-2
Code: https://github.com/erturklab/delivr_cfos
Docker containers, test dataset, handbook: https://www.discotechnologies.org/DELiVR/
Three weeks left to apply for the Neuroinformatics Unit Open Software Summer School, August 17-28 2026 in London, UK!
Bringing together researchers and open source developers of ephys, behaviour and image analysis tools.
https://neuroinformatics.dev/open-software-summer-school
Deadline January 31st. Apply now!
RE: https://mastodon.online/@neuroinformatics/115866011766692016
A quick reminder to apply to this summer school by end of January 👀
It will be a fun mix of hands-on training and collaborative open-source hacking for #neuroscience #animalbehavior #opensource
I'll be leading the "Animals in Motion" track!
Three weeks left to apply for the Neuroinformatics Unit Open Software Summer School, August 17-28 2026 in London, UK!
Bringing together researchers and open source developers of ephys, behaviour and image analysis tools.
https://neuroinformatics.dev/open-software-summer-school
Deadline January 31st. Apply now!
RE: https://mastodon.online/@neuroinformatics/115866011766692016
A quick reminder to apply to this summer school by end of January 👀
It will be a fun mix of hands-on training and collaborative open-source hacking for #neuroscience #animalbehavior #opensource
I'll be leading the "Animals in Motion" track!
What happens when elegant neural coding theory meets biological reality?
For our Inside Discovery series, Veronika Koren explains why adding messiness — noise, metabolism, inhibition — still leads to efficient brains.
https://elifesciences.org/inside-elife/75921c16/inside-discovery-where-theory-meets-biology?utm_source=mastodon&utm_medium=social&utm_campaign=organic
RE: https://fediscience.org/@eLife/115871742804185192
Cool example of #theory meeting #biology: shows that efficient coding principles survive when models include realistic circuitry, noise, and metabolic constraints. A reminder that good theory does not require oversimplification.
What happens when elegant neural coding theory meets biological reality?
For our Inside Discovery series, Veronika Koren explains why adding messiness — noise, metabolism, inhibition — still leads to efficient brains.
https://elifesciences.org/inside-elife/75921c16/inside-discovery-where-theory-meets-biology?utm_source=mastodon&utm_medium=social&utm_campaign=organic
RE: https://fediscience.org/@eLife/115871742804185192
Cool example of #theory meeting #biology: shows that efficient coding principles survive when models include realistic circuitry, noise, and metabolic constraints. A reminder that good theory does not require oversimplification.
New results from the lab!
Participants with OCD and healthy controls performed a sequence task similarly in the scanner, BUT their brains tracked these sequences differently. Complex tasks are important in understanding mental health! https://doi.org/10.1162/IMAG.a.1084 #neuroscience 🧪 🧠 👩🔬
Cognitive sequences in obsessive-compulsive disorder are supported by frontal cortex ramping activity
Can humans and animals really use internal maps to navigate and take shortcuts?
Tolman famously argued "yes" - based largely on his Sunburst maze experiment.
However, our new review & meta-analysis suggests the evidence is far weaker than you might think.
🧵👇 https://doi.org/10.1111/ejn.70365
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#neuroESC #navigation #neuroscience #neuroethology #SpatialCognition #AnimalBehaviour #shortcutting #cognitivemap #tolman
🧠 New preprint by Shervani-Tabar, Brincat & @ekmiller on emergent #TravelingWaves in #RNN.
By aligning RNN dynamics to an empirically measured #NeuralManifold, they show that task-relevant TW can emerge through #learning, w/o hard-coding wave dynamics or connectivity. The cool thing here is that the waves are not imposed or engineered, but emerge naturally from learning under #BiologicallyPlausible constraints:
