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Ido Aizenbud

@idoai.bsky.social
418 followers 519 following 52 posts

Computational Neuroscience PhD Student

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Ido Aizenbud @idoai.bsky.social · 11/06/2026
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)
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bioRxivpreprint @biorxivpreprint.bsky.social · 09/06/2026
What can a neuron compute www.biorxiv.org/content/10.64898/20…
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Dan Goodman @neural-reckoning.org · 04/09/2025
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. 🤖🧠🧪
Diagram of how the "collaborative modelling of the brain" (COMOB) project started. Starting material lead to group research or solo research, coming together in online workshops (monthly) in an iterative cycle, finishing with writing up together. The diagram is illustrated with colourful cartoon blob characters.
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Ido Aizenbud @idoai.bsky.social · 01/08/2025
What makes human pyramidal neurons uniquely suited for complex information processing? How can human neurons’ distinct properties contribute to our advanced cognitive abilities?
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Ido Aizenbud @idoai.bsky.social · 16/04/2025
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
arxiv.org
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...
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Ido Aizenbud @idoai.bsky.social · 29/03/2025
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
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Toviah Moldwin @tmoldwin.bsky.social · 19/02/2025
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.
journals.plos.org
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...
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Ido Aizenbud @idoai.bsky.social · 26/12/2024
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)
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bioRxivpreprint @biorxivpreprint.bsky.social · 18/12/2024
What makes human cortical pyramidal neurons functionally complex www.biorxiv.org/content/10.1101/202…
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Ido Aizenbud @idoai.bsky.social · 25/12/2024
My first first-author paper is now on bioRxiv! Soon, a detailed thread about it is coming 🥳
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Ido Aizenbud @idoai.bsky.social · 05/12/2024
Derivative is all you need?
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