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Doing formal/computational theory in a multidisciplinary intersection is wonderful because neuroscientists say it’s not biological enough, it’s too theoretical for AI folks, too applied for theoretical computer scientists, not empirical enough for cognitive scientists, & too formal for philosophers💫
NEW PAPER. Why do larger networks train better? "Because they contain more candidate *sub*networks that can learn the task" → lottery tickets This popular explanation uses an appealing but misleading metaphor🧵 We propose an intuitive alternative grounded in theory: escape dimensions
1/11 Happy to share our TICS paper on using the flexibility of one of the most basic cognitive functions, perception, to understand one of the most complex cognitive dysfunctions, psychiatric conditions (also my first formal work in computational psychiatry 🎉) 📄: www.cell.com/trends/cogni... 🧵 : 👇