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by @jimpick.com
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A great entry into the proposals available for physiologically plausible gradient descent! I think the way they use dendrite targeting inhibition in this model is particularly elegant. Time to start testing these ideas folks!!! #neuroscience 🧪 #NeuroAI
2mo
Blake Richards
Our latest publication grapples with how the brain could implement gradient descent by sending learning targets top-down, gating plasticity with dendritic inhibition, and updating synaptic weights with biologically observed learning rules like BTSP. www.cell.com/cell-reports...
2mo
www.cell.com
Galloni et al. introduce ā€œdendritic target propagationā€: a Dale’s law-compliant learning algorithm for cortical microcircuits with soma- and dendrite-targeting inhibition and realistic connectivity co...
Cellular and subcellular specialization enables biology-constrained deep learning
Aaron Milstein
New #NeuroAI #compneurosky preprint! To better understand how target-directed learning works in the brain, we sought to engineer an artificial neural network capable of solving complex image classification tasks that comprises only experimentally-supported biological building blocks. (1/15)
May 27, 2025
Aaron Milstein
Cellular and subcellular specialization enables biology-constrained deep learning www.biorxiv.org/content/10.1...
May 27, 2025
www.biorxiv.org
Learning and memory in the brain depend on changes in the strengths of synaptic connections between neurons. While the molecular and cellular mechanisms of synaptic plasticity have been extensively st...
Cellular and subcellular specialization enables biology-constrained deep learning
Aaron Milstein