3D Spatially Embedded Networks: Examining Direct Bayesian Updating
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This research note proposes a principled approach to optimising neuron coordinates in a 3D spatially embedded neural network. A joint probability density function describes the number and location of neurons in the network. A reward/loss signal updates the prior probability distribution via Bayesian updating. Limitations and future research directions are discussed.
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Tohouri, Pascal创建时间：
2025-07-31
