Peeking inside the black box with recurrent neural networks
How do we extract essential features from the activity of billions of neurons in the brain? In a SWC Seminar, Dr. Kanaka Rajan shared her work using recurrent neural networks constrained directly by experimental recordings, a special class of artificial neural network models, to figure out how real brains learn.