## Learning using gradient descent on a free-energy potential

Based on K. Friston and following R. Bogacz a learning scheme is implemented using gradient descent on a “free-energy” potential.

Based on K. Friston and following R. Bogacz a learning scheme is implemented using gradient descent on a “free-energy” potential.

The inverted pendulum problem from OpenAI Gym is solved using a simple network that learns the relevant derivatives using positional data. The inferred deriv...

Implementation of a one-layer neural network that solves the XOR task using only numpy, roughly following this excellent blogpost by Andrej Karpathy. Shared ...

Following Joshua Garland, Ryan James, and Elizabeth Bradley information theoretical redundancy is explained and estimated using weighted permutation entropy ...

An attempt to implement the recurrent attention model (RAM) from “Recurrent Models of Visual Attention” (Mnih+ 2014) in collaboration with ppries.