MITCBMM Courses

The Quest to Create Engineer-Quality Models of the Mechanisms of Human Visual Object Recognition - Part 2

Explore cutting-edge models of human visual object recognition, their implications for AI, and strategies for future research in neuroscience and machine learning.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

How Brain Computations Can Inspire New Paths in AI - Part 2

Explore brain-inspired AI advancements, focusing on object recognition, contextual reasoning, and model performance. Gain insights into cutting-edge computational approaches and their applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

How Brain Computations Can Inspire New Paths in AI - Part 1

Explore how brain computations inspire AI advancements, covering visual illusions, neural connectivity, and deep learning networks to uncover new paths in artificial intelligence research.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

The Neural Circuits for Face Recognition

Explore neural circuits for face recognition, including a newly discovered temporal pole region. Learn about face processing systems, computational principles, and their implications for visual intelligence.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Learning What We Know and Knowing What We Learn - Gaussian Process Priors for Neural Data Analysis

Explore Gaussian process priors for neural data analysis, covering latent variable models, Bayesian inference, covariance kernels, and factor analysis. Gain insights into advanced techniques for understanding complex neural datasets.

• YouTube
• 1 hour 31 minutes
• Self-Paced
• Free Video

Connectomics at the Nano and Petascale

Explore the intricate world of neural connections from nano to petascale, delving into motor memory, brain structure, and cutting-edge neuroscience research techniques.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Computational Models of Cognition - Part 2

Explore intuitive physics, mental models, and probabilistic reasoning in cognitive science, featuring cutting-edge research on infant cognition and AI applications.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Question Answering for Language and Vision

Explore advanced techniques in question answering for language and vision, including joint models, multitask learning, and neural networks with Richard Socher from MetaMind.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Next-Generation Recurrent Network Models for Cognitive Neuroscience

Explore next-gen recurrent neural networks for cognitive neuroscience, addressing challenges and combining biological knowledge with computational goals for improved brain and mind understanding.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Invariant Representation of Physical Stability in the Human Brain

Explore how the human brain represents physical stability, from infant intuition to neural computations, and its applications in robotics and computer vision.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

From Associative Memories to Deep Networks and From Associative Memories to Universal Machines

Explore the evolution from associative memories to deep networks and universal machines, discussing their similarities, limitations, and potential for understanding human intelligence.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Adversarial Examples for Humans

Explore blackbox adversary attacks, system methodology, and class conditions in adversarial examples for AI systems.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Resolving Human Brain Responses in Space and Time

Explore cutting-edge techniques for mapping brain responses, uncovering insights into visual and auditory perception, memory, and cognitive processes.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Modeling the Influence of Feedback in the Visual System

Explore how feedback influences visual processing, using masking studies and network modeling to understand its impact on classification accuracy and neural activity.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Social Visual Representations in Humans and Machines

Explore neural face representations, disentangled learning, and social interaction perception in vision, examining shared visual representations between humans and machines.

• YouTube
• 27 minutes
• Self-Paced
• Free Video