This is the 4th in a series of panel discussions in collaboration with Neuromatch Academy, the online computational neuroscience summer school. This is the first of 3 in the deep learning series. In this episode, the panelists discuss their experiences with some basics in deep learning, including Linear deep learning, Pytorch, multi-layer-perceptrons, optimization, & regularization.
Jackie and Bob discuss their research and thinking about curiosity. Jackie’s background is studying decision making and attention, recording neurons in nonhuman primates during...
Thomas and I discuss the role of recurrence in visual cognition: how brains somehow excel with so few “layers” compared to deep nets, how...
We made it to the last bit of our 100th episode celebration. These have been super fun for me, and I hope you’ve enjoyed...