I've recently became aware of the idea of "reverse learning" that might happen during REM sleep - the brain's attempt to eliminate pathological attractors that might appear in neural networks. The ...
I work with neural network models of human cognition a lot, and one thing that bugs me about them is the timescale: they learn over thousands of trials whereas humans seem to learn after a couple ...
In reinforcement learning, there is a stark distinction between model-based and model-free learning algorithms, where model-free methods don't make use any explicit information about the dynamics of ...
Need good example of two domains involving different procedural knowledge yet sharing same high-level strategies
Working in the domain of intelligent tutoring systems, I have to prove (or disprove) that explicit teaching of high-level strategies will allow students to use learned strategies across different ...
I am interested in the creation of chunks (aka configural nodes) from smaller chunks and input features (only interested in System 1 cognition). Unitization studies (e.g. Goldstone (pdf)), suggest ...