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Information-Theoretic Principles in Cognitive Systems
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2022
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2021
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2020
REGML 2020 | Regularization Methods for Machine Learning
MLCC 2020 @ simula Machine Learning Crash Course
Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop 2019
Limitations of Deep Learning Workshop
A workshop on language and vision at CVPR 2019
Symbols in the Brain Workshop
A workshop on language and vision at CVPR 2018
Learning Disentangled Representations: from Perception to Control
Kinds of intelligence
A workshop on language and vision at CVPR 2017
Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
CBMM Workshop on Speech Representation, Perception and Recognition
Intuitive Physics
BMM Workshop Sestri Levante
Deep Learning: Theory, Algorithms and Applications
Biophysical principles of brain oscillations and their meaning for information processing
Neural Information Processing Systems (NIPS) 2015
A Turing++ Question: Who is there?
CVPR 2015 Language and Vision Workshop
Engineering and Reverse Engineering Reinforcement Learning
Learning Data Representation: Hierarchies and Invariance
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Memory and Executive Function | Brain OS
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»
Modeling Human Goal Inference as Inverse Planning in Real Scenes
Computational models of human social interaction perception
Invariance in Visual Cortex Neurons as Defined Through Deep Generative Networks
Sleep Network Dynamics Underlying Flexible Memory Consolidation and Learning
Neurally-plausible mental-state recognition from observable actions
Principal Investigators
Datasets and Code
2013-2018 Research
»
CBMM Turing++ questions
Research Collaborations
Research Thrusts
Development of Intelligence
Neural Circuits for Intelligence
Vision and Language
Social Intelligence
Theoretical Frameworks for Intelligence
Exploring Future Directions
Projects by Thrust
Development of Intelligence
Neural Circuits for Intelligence
Vision and Language
Social Intelligence
Theoretical Frameworks for Intelligence
Exploring Future Directions
News + Events
Publications
»
CBMM Memos
All Publications
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CBMM on Github
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»
Undergraduate Summer Research Internships in Neuroscience
»
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Quantitative Methods Workshop
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International Programs
Workshops, Conferences, & Symposia
»
Information-Theoretic Principles in Cognitive Systems
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2022
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2021
Shared Visual Representations in Human & Machine Intelligence (SVRHM) 2020
REGML 2020 | Regularization Methods for Machine Learning
MLCC 2020 @ simula Machine Learning Crash Course
Shared Visual Representations in Human and Machine Intelligence (SVRHM) Workshop 2019
Limitations of Deep Learning Workshop
A workshop on language and vision at CVPR 2019
Symbols in the Brain Workshop
A workshop on language and vision at CVPR 2018
Learning Disentangled Representations: from Perception to Control
Kinds of intelligence
A workshop on language and vision at CVPR 2017
Science of Intelligence: Computational Principles of Natural and Artificial Intelligence
CBMM Workshop on Speech Representation, Perception and Recognition
Intuitive Physics
BMM Workshop Sestri Levante
Deep Learning: Theory, Algorithms and Applications
Biophysical principles of brain oscillations and their meaning for information processing
Neural Information Processing Systems (NIPS) 2015
A Turing++ Question: Who is there?
CVPR 2015 Language and Vision Workshop
Engineering and Reverse Engineering Reinforcement Learning
Learning Data Representation: Hierarchies and Invariance
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Undergraduate Summer Research Internships in Neuroscience 2014
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Undergraduate Summer Research Internships in Neuroscience 2014
Undergraduate Summer Research Internships in Neuroscience 2014
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