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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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Home
About
»
Our Vision
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»
Alumni
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Support the Center
Title IX
Contact Us
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»
Vision
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»
Visual Stream
Memory and Executive Function | Brain OS
The Cognitive Core
Symbolic Compositional Models
CBMM Alumni Seed Grants
»
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
Views & Reviews
Datasets and Code
CBMM on Github
CBMM Publication Acknowledgement
In Press & Submitted
Outreach
»
Undergraduate Summer Research Internships in Neuroscience
»
FAQs
Year 2018
Year 2017
Year 2016
Year 2015
Year 2014
Quantitative Methods Workshop
Undergraduate Lecture Series
»
Lecture Videos
Undergraduate Lecture Series 2018
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Undergraduate Lecture Series 2015
Undergraduate Lecture Series 2014
Summer Workshop for Teachers
»
2017 Summer Workshop for Teachers
2016 Summer Workshop for Teachers
2015 Summer Workshop for Teachers
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Courses
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»
Schedule
Recordings
Learning Hub
Knowledge Transfer
»
Goals
Industrial Partnerships
Knowledge Transfer Events
BMM Summer Course
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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