Stanford NeuroAI Lab
@NeuroAILab
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Neuroscience, artificial intelligence, and psychology research at Stanford University (PI: Dan Yamins)
Stanford, CA
Joined November 2017
RT @aran_nayebi: Excited to share our work on Mouse Visual Cortex is now published in @ploscompbiol: #ploscompbiola…
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RT @cogphilosopher: At @CosyneMeeting, our poster at 3-022 will discuss how to measure similarity between DNN model activations and biologi…
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RT @aran_nayebi: If you're attending #cosyne2023, stop by our Poster III-002 👇 this Saturday at 8:30 pm on "Mouse visual cortex as a limite…
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RT @aran_nayebi: 11/15 Finally, the discussion of hyperparameters has come up most recently in the context of MEC models. Actually, one mai…
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RT @aran_nayebi: 9/15 Alongside theoretical considerations, an empirical criterion for picking a (model, metric) pair could be if it enable…
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RT @aran_nayebi: 1/15 This is an important point worth underscoring. As I’ll elaborate here below -- there is actually a lot of shared pers…
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RT @aran_nayebi: 8/8 We think answering these Why questions is one of most productive uses for task-driven deep neural networks in neurosci…
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RT @aran_nayebi: 1/8 Can we use embodied AI to gain insight into *why* neural systems are as they are? In previous work👇, we demonstrated…
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RT @aran_nayebi: Yesterday I successfully defended my PhD dissertation, "A Goal-Driven Approach to Systems Neuroscience". Especially grat…
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RT @aran_nayebi: 1/3 We release our ImageNet pretrained Recurrent CNN models, which currently best explain neural dynamics & temporally var…
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RT @aran_nayebi: 1/ Interested in how task-driven neural networks help us understand the diverse cell types in medial entorhinal cortex (ME…
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RT @recursus: Do AI models understand everyday physical phenomena like we do, or are they missing key elements of human judgment? Check ou…
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RT @martin_schrimpf: Computational neuroscience has lately had great success at modeling perception with ANNs - but it has been unclear if…
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RT @aran_nayebi: 1/ People study medial entorhinal cortex (MEC) because of its key role in navigation and memory. In our new paper we build…
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RT @risi1979: We hope this work might also be of interest to others working on biologically inspired neural networks @neurograce @TonyZador…
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RT @agrimgupta92: 1/ Excited to share that our work on Deep Evolutionary Reinforcement Learning (DERL): a framework for large scale evoluti…
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RT @MattNiessner: (1/n) How to start a deep learning project? We use a remarkably streamlined step-by-step process to set up deep learnin…
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RT @willbokuishen: [1/2] Excited to share that iGibson 1.0 is accepted to #IROS2021 🤖 Cool features and scenes to develop and train robots…
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