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Found 3 papers, 2 papers with code
Statistically unbiased prediction enables accurate denoising of voltage imaging data
Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise in voltage imaging data.
Inducing Functions through Reinforcement Learning without Task Specification
We report a bio-inspired framework for training a neural network through reinforcement learning to induce high level functions within the network.
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data
Calcium imaging is an essential tool to study the activity of neuronal populations.
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