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Found 4 papers, 3 papers with code
Automated mapping of virtual environments with visual predictive coding
Here, we demonstrate that predictive coding provides a natural and versatile neural network algorithm for constructing spatial maps using sensory data.
Fine-Grained System Identification of Nonlinear Neural Circuits
We study the problem of sparse nonlinear model recovery of high dimensional compositional functions.
Neural Networks with Recurrent Generative Feedback
This mechanism can be interpreted as a form of self-consistency between the maximum a posteriori (MAP) estimation of an internal generative model and the external environment.
Reconstructing neuronal anatomy from whole-brain images
Reconstructing multiple molecularly defined neurons from individual brains and across multiple brain regions can reveal organizational principles of the nervous system.
