
David Sussillo
@SussilloDavid
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Neural reverse engineer. Research scientist at Meta Reality Labs. Adjunct prof at Stanford. Prev: Google Brain, Stanford postdoc. Milton Hershey Alum.
Portola Valley, CA, USA
Joined November 2016
I'm deeply touched to read @marinopagan's reflection on our 2013 contextual decision-making study in The Transmitter. Knowing that our work has influenced others' scientific journeys is both humbling and inspiring. 🙏.
In our latest edition of “This paper changed my life,” @marinopagan reflects on a seminal paper that revealed the complexity of neural population dynamics and the power of recurrent neural networks.
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RT @NicoleCRust: This is such a mistake - these alternative ways of testing aren't good enough "models" to evaluate new drugs. People will….
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RT @_TheTransmitter: How can we make progress in developing a general model of neural computation rather than a series of disjointed models….
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RT @NandoDF: Feeling pressure to work more than 5 days per week? Don’t. I’ve been super productive all my life and I never worked on the we….
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RT @xavierjgonzalez: We also just dropped a new blog that steps through both the the math and the code!. Blog: Post….
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RT @seasonedschemer: 1/. We just open-sourced two large wrist electromyography (EMG) datasets - one towards typing without a keyboard and t….
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RT @jessedmarshall: emg2pose: Hand pose estimation anywhere with neuromotor interfaces . A Dataset and Benchmark @ Neurips 2024 https://t.….
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RT @scott_linderman: Did you know that you can parallelize *nonlinear* RNNs over their sequence length!? Our @NeurIPSConf paper "Towards Sc….
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RT @lndriscoll: If you want to do a postdoc w me (or generally do theory at Allen/UW) apply for this!. It’s a pretty independent postdoc p….
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While I question the 90% figure, I agree with the core sentiment. However, I believe this will change significantly within the next decade or two due to improved recording methodologies, theoretical advances, and computational approaches in our understanding of how the brain.
This is a controversial claim, but in my experience, more than 90% of the time, when people bring up neuroscience during explanations of psychological phenomena, the neuroscience adds nothing of value to the explanation other than making the explanation *seem* more authoritative.
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RT @jackclarkSF: AI skeptics: LLMs are copy-paste engines, incapable of original thought, basically worthless. Professionals who track AI….
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No, AI Has Not Killed Marr's Three Levels, It’s Merely Maimed Them (Consider me triggered. 😂🤣). The rapid advancement of artificial intelligence, particularly in neural networks and deep learning, has led some to question the relevance of classical frameworks like David Marr's.
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