Evidence accumulation and change rate inference in dynamic environments
Adrian E Radillo, Alan Veliz-Cuba, Kresimir Josic, Zachary Kilpatrick
The paper develops an ideal observer model to infer environmental state and change rate in dynamic environments, using a moment closure approximation and neural network models with plasticity rules.
Neural Computation · Jun 1, 2017Peer-reviewedNeuroscience