What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15)
Is anarchist science possible? As an experiment, we got together a large group of computational neuroscientists from around the world to work on a single project without top down direction. Read on to find out what happened. 🤖🧠🧪
What makes human pyramidal neurons uniquely suited for complex information processing? How can human neurons’ distinct properties contribute to our advanced cognitive abilities?
Proud to contribute to this large-scale, multi-lab, open-source collaboration led by @LecoqJerome and @AllenInstitute OpenScope to study predictive processing in the brain. Explore our review and planned studies on arXiv: arxiv.org/abs/2504.09614
Neural mechanisms of predictive processing: a collaborative community experiment through the OpenScope program
This review synthesizes advances in predictive processing within the sensory cortex. Predictive processing theorizes that the brain continuously predicts sensory inputs, refining neuronal responses by...
arxiv.org
Jérôme Lecoq@jeromelecoq.bsky.social · last yr.How does our brain predict the future? Our review of predictive processing + research program is now on arXiv arxiv.org/abs/2504.09614 50+ neuroscientists distributed across the world worked together to create this unique community project.
Just got back from the GRC Dendrites meeting in Ventura, California! I presented my research on how single neurons can implement complex nonlinear functions — amazing discussions and brilliant minds all around. #Neuroscience #GRCdendrites #ComputationalNeuroscience
Now out in PLOS CB! We propose a simple, perceptron-like neuron model, the calcitron, that has four sources of [Ca2+]...We demonstrate that by modulating the plasticity thresholds and calcium influx from each calcium source, we can reproduce a wide range of learning and plasticity protocols.
The calcitron: A simple neuron model that implements many learning rules via the calcium control hypothesis
Author summary Researchers have developed various learning rules for artificial neural networks, but it is unclear how these rules relate to the brain’s natural processes. This study focuses on the ca...
journals.plos.org
Human cortical pyramidal neurons are larger, with more elaborate branching, and distinct nonlinear biophysical properties compared to rat cortical pyramidal neurons. Are they more functionally complex? Could that boost the human brain’s computational power? and is that what makes us human? (1/11)
What makes human cortical pyramidal neurons functionally complex https://www.biorxiv.org/content/10.1101/2024.12.17.628883v1
Derivative is all you need?
Michael Deistler@deismic.bsky.social · 2y agoI will talk about our efforts to train biophysically detailed neuron models at the CMC Learning Club today (2pm CET). Zoom link sent upon empty email to virtual-talk-link-request@cmclab.org. Thanks a lot @neuroprinciplist.bsky.social for organizing this!
