Brains, Minds and Machines Seminar Series
54 videos • 26,834 views • by MITCBMM
1
The Integrated Information Theory of Consciousness
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2
Neural Representations of Language Meaning
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3
Reflexive Theory of Mind Reasoning in Games
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4
Scientific Utopia: Improving Openness and Reproducibility in Scientific Research
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5
Brains, Minds & Machines Seminar Series: Computer Vision that is changing our lives
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6
Thomas Serre: Towards a system-level theory of computation in the visual cortex
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7
Prof. Justin Wood, USC - Building newborn minds in virtual worlds
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8
Computational Diversity and the mesoscale organization of the neocortex
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9
Parsing Objects and Scenes in Two and Three Dimensions
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10
Perceptual Organization From a Bayesian Point of View
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11
Towards Machines that Perceive and Communicate
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12
Machine Learning and AI for the Sciences - Towards Understanding
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13
Have We Missed Half of What the Neocortex Does? Allocentric Location as the Basis of Perception
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14
Is a Turing test for intelligence equivalent to a Turing test for consciousness?
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15
What makes high-dimensional networks produce low-dimensional activity?
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16
Modal-set Estimation using kNN graphs, and Applications to Clustering
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17
What are the computational functions of feedback to early visual cortex?
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18
Probing memory circuits in the primate brain: from single neurons to neural networks
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19
The topology of representation teleportation, regularized Oja's rule, and weight symmetry
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20
Apical dendrites as a site for gradient calculations
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21
A distributional point of view on hierarchy
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22
Feedforward and feedback processes in visual recognition
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23
Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy
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24
Doing for robots what nature did for us
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25
Life as GIM in a GAN psychophysics of Cephalopod camouflage & perception: some conjectures
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26
How will we do mathematics in 2030?
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27
Spatial Perception for Robots and Autonomous Vehicles: Certifiable Algorithms and Human-level ...
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28
Spatial Perception for Robots and Autonomous Vehicles: Certifiable Algorithms and Human-level ...
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29
Is compositionality overrated? The view from language emergence
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30
DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.
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31
Representations vs Algorithms: Symbols and Geometry in Robotics
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32
Computation and Learning with Assemblies of Neurons
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33
Common Sense Physics and Structured Representation in the Era of Deep Learning
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34
Compositional Generative Networks & Adversarial Examiners: Beyond the Limitations of Current AI
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35
Something Else About Working Memory
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36
Efficient representation, learning, and planning through abstraction: clustering cognitive spaces...
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37
Boundary conditions for language in biological and artificial neural systems
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38
Building a state space for song learning
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39
How fly neurons compute the direction of visual motion
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40
Using AI to accelerate scientific discovery
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41
Reintegrating AI: Skills, Symbols, and the Sensorimotor Dilemma
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42
[Private video]
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43
The neural computations underlying real-world social interaction perception
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44
Quantifying and Understanding Memorization in Deep Neural Networks
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45
Eleanor Jack Gibson: A Life in Science
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46
Characterizing complex meaning in the human brain
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47
Photographic Image Priors in the Era of Machine Learning
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48
Coding of space and time in cortical structures
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49
Mindgames
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50
Statistical learning in human sensorimotor control
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51
How fly neurons compute the direction of visual motion
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52
Bayes in the age of intelligent machines
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53
Physical and Social Human-Robot Interaction with the iCub Humanoid
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54
The Debate Over “Understanding” in AI’s Large Language Models
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