Cosyne 2021 Tutorial On Rnn Part 1 By Kanaka Rajan Youtube What can we learn about the brain from recurrent neural networks?if you are registered for the interactive session, go to hopin: hopin events cos. Recording of the hopin live closing remark.presented at cosyne 2021 ( cosyne.org ), feb 23 26, 2021.
Kanaka Rajan Data Constrained Neural Network Models Of Adaptive In february 2021, i had the honor of hosting the cosyne (computational and systems neuroscience) tutorial on recurrent neural network models in neuroscience. given the virtual format of the meeting, i’m pleased to be able to make the materials accessible to a larger community of learners. both lectures are available on the cosyne . Thank you to cosyne tutorial organisers kanaka rajan and il memming park. thank you to marcus ghosh and nicolas perez for helping create the slides and exercises. thank you friedemann zenke for the wonderful spytorch tutorial which has opened up this work to so many people. thank you to all the tas on the course: tomas fiers; brian depasquale. Learn how to automate behavior quantification using deep learning with sleap ( sleap.ai). in this cosyne 2024 tutorial, attendees will gain an understanding of advances in computer vision and deep learning for markerless motion capture and how to put these into practice for complex freely moving animal behavior analysis. Kanaka rajan, phd, is a computational neuroscientist, associate professor of neurobiology at harvard medical school, and a founding faculty member of the kempner institute for the study of natural and artificial intelligence at harvard university. her research seeks to understand how important cognitive functions—such as learning, remembering.
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