Category: Talks
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Jie Zheng presents her work in a nanosymposium at SFN
october 5, 2024 Prefrontal and medial temporal neurons encode ordinal information of event seuences in humans Society for Neuroscience Annual Meeting. Nanosymposium NANO06.11. 3:30PM – 3:45PM Read more
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Kreiman lab posters at SFN 2024
october 5 — OCTOBER 9, 2024 Presentations by the Kreiman lab at the Society for Neuroscience Annual Meeting 2024 Oct 5 2024. 3:30-3:45 Prefrontal and Medial Temporal Neurons Encode Ordinal Information of Event Sequences in Humans. Presented by Jie Zheng. Oct 7 2024, 8:00-13:00 Syntactic-feature encoding of language in the human brain. Presented by Pranav… Read more
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Prof. Kreiman participates in Mi Ultima Neurona
september 25, 2024 Mi Ultima Neurona Podcast An excellent podcast in Spanish for Neuroscience outreach Led by Jessica Chomik-Morales Read more
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Prof. Kreiman gives a lecture at UC Berkeley
09/18/2024 Successes and challenges in computational models of vision We now have powerful computer vision algorithms that can segment scenes, label objects, and recognize actions. It is tempting to use these algorithms as models of visual processing in biological brains. I will provide an overview of some of the successes in using neural network models to partially describe visual behavior and predict neuronal responses in the visual system of monkeys and humans, focusing on the ventral stream associated with object recognition.… Read more
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The next 200 milliseconds
08/08/2024 Prof. Kreiman gives a lecture on the dynamics of cognition at the Brains, Minds and Machines This lecture introduces a discussion of the complex recurrent and top-down signals that interact with sensory processes to interpret visual scenes, including contextual reasoning, eye movements and visual search, and pattern completion. Read more
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MIT – Hebrew University joint workshop on Artificial Intelligence
05/29/2024 Prof. Kreiman gives a lecture about connecting biological and artificial neural networks In this lecture, Prof. Kreiman introduces work done in collaboration with the Ramanathan lab combining reinforcement learning, optogenetics and behavior in the C. elegans worm to discover neural policies that drive behavior. Read more
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Current models of visual cortex fail to generalize
05/01/2024 Spandan Madan gives a talk at the Center for Brain Science Neurolunch Spandan scrutinizes the ability of models of visual cortex to explain neuronal responses and finds a poor ability to extrapolate to novel stimuli, forcing us to revisit whether such models capture the critical properties of vision. Read more
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GPT7 and AGI
aprl 11, 2024 How to build and understand GPT7’s mind Graduate student Trenton Bricken considers whether a future version of GPT will display artificial general intelligence (AGI). See publications from Trenton Bricken here. Read more