3 ms·

I'm interested in reading more about this area of work. Can you share your project page if it exists or any foundational papers in this space

• outlace 7y ago
  My inspiration comes from this: https://arxiv.org/pdf/1809.06303.pdf https://arxiv.org/pdf/1809.06303.pdf There's a long history of using differential equation models to model high-level brain function (see also neural mass models and neural field models) but I think there are advantages to using discrete time approximations such as neural networks in an RL setting to investigate how the dynamics (e.g. attractor states, etc) map onto behavior.