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Session 4.3: Debrief on Methane Leak Safari

Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, & Machines

Description: Introduction to the interdisciplinary study of intelligence, from recent advances in AI to an understanding of human intelligence and the brain. Instructor: Tomaso Poggio

Lecture 1.1: Nancy Kanwisher - Human Cognitive Neuroscience

Description: Functional architecture of the human brain. Historical evolution of theories and empirical methods revealing areas of functional specialization for mental processes. Introduction to fMRI. Instructor: Nancy Kanwisher

Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback

Description: Neural computation and methods to study visual processing in the brain. Models of single neurons and neural circuits, hierarchical cortical architecture, feedforward processing, role of feedback signals in V1 cells, pattern completion, and visual search. Instructor: Gabriel Kreiman

Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1

Description: Neural circuits underlying object recognition. Feedforward processing in the ventral visual stream from the retina to inferior temporal cortex. Models to decode IT signals to infer object identity and predict human recognition behavior in cluttered scenes. Instructor: James DiCarlo

Lecture 1.4: James DiCarlo - Neural Mechanisms of Recognition Part 2

Description: Neural circuits underlying object recognition. Feedforward processing in the ventral visual stream from the retina to inferior temporal cortex. Models to decode IT signals to infer object identity and predict human recognition behavior in cluttered scenes. Instructor: James DiCarlo

Lecture 1.5: Winrich Freiwald - Primates, Faces, & Intelligence

Description: Facial recognition in the brain. Primate vs. mammalian brain anatomy, social intelligence hypothesis, emotion and facial expression and communication. The macaque face processing network: from face detection to invariant recognition, and its connectivity. Instructor: Winrich Freiwald

Lecture 1.6: Matt Wilson - Hippocampus, Memory, & Sleep Part 1

Description: The role of the hippocampus in forming episodic and spatial memory and the connection between sleep and memory. Experimental methods to probe the neural encoding of temporal sequences, simultaneous recording of neurons in multiple brain areas. Instructor: Matt Wilson

Lecture 1.7: Matt Wilson - Hippocampus, Memory, & Sleep Part 2

Description: The role of the hippocampus in forming episodic and spatial memory and the connection between sleep and memory. Experimental methods to probe the neural encoding of temporal sequences, simultaneous recording of neurons in multiple brain areas. Instructor: Matt Wilson

Seminar 1: Larry Abbott - Mind in the Fly Brain

Description: Modeling neural processes in the mushroom bodies of the insect brain to understand how flies learn to recognize scents. Training flies with classical conditioning with positive and negative reinforcement to study olfactory memory and behavior. Instructor: Larry Abbott

Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1

Description: Exploring how humans learn new concepts and make intelligent inferences from little experience. Using probabilistic generative models to reason about the physical and social world, and provide rich causal explanations of behavior. Instructor: Josh Tenenbaum

Lecture 2.2: Josh Tenenbaum - Computational Cognitive Science Part 2

Description: Exploring how humans learn new concepts and make intelligent inferences from little experience. Using probabilistic generative models to reason about the physical and social world, and provide rich causal explanations of behavior. Instructor: Josh Tenenbaum

Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3

Description: Exploring how humans learn new concepts and make intelligent inferences from little experience. Using probabilistic generative models to reason about the physical and social world, and provide rich causal explanations of behavior. Instructor: Josh Tenenbaum

Lecture 3.1: Liz Spelke - Cognition in Infancy Part 1

Description: Behavioral methods to study cognitive development in infants, probing infants’ evolving understanding of objects and their physical behaviors, and understanding of agents who engage in goal-directed activity and initiate social interactions. Instructor: Liz Spelke

Lecture 3.2: Liz Spelke - Cognition in Infancy Part 2

Description: Behavioral methods to study cognitive development in infants, probing infants’ evolving understanding of objects and their physical behaviors, and understanding of agents who engage in goal-directed activity and initiate social interactions. Instructor: Liz Spelke

Lecture 3.3: Alia Martin - Developing an Understanding of Communication

Description: Infant development of understanding speech as communicative action with information transfer, reasoning about information access and sources, identifying intentions of communication, shared attention, and the role of speaker meaning in child development. Instructor: Alia Martin

Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information

Description: Much like scientists, children make judgements about the cost and value of information, learn from statistical evidence, use interpretations affected by belief, explore ambiguity, isolate variables, and make generalizations dependent on the evidence. Instructor: Laura Schulz

Seminar 3: Jessica Sommerville - Infants' Sensitivity to Cost and Benefit

Description: Infants’ registration of effort-related costs in the actions of others, and its correlation with activation in sensorimotor cortex. Infants’ use of costs and benefits of actions to guide their own prosocial behavior. Instructor: Jessica Sommerville

Lecture 3.5: Josh Tenenbaum - The Child as Scientist

Description: Knowledge grows through hypothesis- and explanation-driven interpretations of sparse data, causal learning, forming theories, learning compositional abstractions, exploratory learning and social learning. Building “program-learning” programs. Instructor: Josh Tenenbaum

Unit 3 Debate: Tomer Ullman & Laura Schulz

Description: Speakers debate what makes a good theory of the world, the potential role of stochastic search in theory formation, goal-oriented hypothesis generation and imagination, from the perspective of computational models and experiments in child development. Instructors: Tomer Ullman and Laura Schulz

Lecture 4.1: Shimon Ullman - Development of Visual Concepts

Description: Visual understanding evolves from simple innate biases to complex visual concepts. How computer models can learn to recognize hands and follow gaze by leveraging simple motion and pattern detection processes present in early infancy. Instructor: Shimon Ullman

Lecture 4.2: Shimon Ullman - Atoms of Recognition

Description: Human ability to recognize object categories from minimal content in natural image fragments, inadequacy of current computer vision models to capture this ability, discerning the minimal features needed to make inferences for object recognition. Instructor: Shimon Ullman

Lecture 4.3: Aude Oliva - Predicting Visual Memory

Description: What makes an image memorable? Discussing visual memory experiments, consistency of memorability across observers, memorability of images, neural framework for memorability, and biologically inspired deep neural network model of object recognition. Instructor: Aude Oliva

Seminar 4.1: Eero Simoncelli - Probing Sensory Representations

Description: Cognitive processing of sensory input, probing sensory representations with metameric stimuli, perceptual color matching, texture discrimination, Julesz texture model, modeling physiological mechanisms of texture processing in the ventral visual pathway. Instructor: Eero Simoncelli