MITCBMM Courses

Big Science, Team Science & Open Science to Understand Neocortex

Explore the human brain, its evolution, and cell types with MITCBMM's online material. Dive into neuroscience, data mining, and transcriptomics in just 1-2 hours.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Online Course

Introduction to Neuroscience

Dive into the basics of neuroscience with this short tutorial by MITCBMM. Learn about neurons, synaptic transmission, cortical functions, and visual perception.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

Introduction to Optimization

Learn optimization techniques with MITCBMM's tutorial. Understand likelihood, explore local vs global minima, and apply optimization in machine learning. Duration: 1-2 hours.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Demis Hassabis: Towards General Artificial Intelligence

Explore the cutting-edge of AI research with Dr. Demis Hassabis, CEO of DeepMind, in this 1-2 hour MITCBMM program. Delve into reinforcement learning, neural networks, and the impact of AI.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Online Course

Large-Scale Organization of Object Knowledge

Explore large-scale object knowledge organization with MITCBMM. Learn from Harvard's Talia Konkle in less than an hour. Dive into visual cortex, meal-based organization, and more.

• YouTube
• 21 minutes
• On-Demand
• Free Online Course

Topological Treatment of Neural Activity and the Quantum Question Order Effect

Explore topological analysis of neural activity and quantum question order effect with MITCBMM's 1-2 hour program led by Seth Lloyd.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Online Course

Nancy Kanwisher: History of Neuroimaging Research on Face Recognition

Explore the history of neuroimaging research on face recognition with MITCBMM. Dive into topics like inversion effect, functional MRI, and anatomical variability in under an hour.

• YouTube
• 34 minutes
• On-Demand
• Free Online Course

M-Theory

Dive into M-theory with MITCBMM's concise program. In under an hour, explore core theory, invariant representation, theorems, and biological predictions.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

Filters and Other Potions for Early Vision and Recognition

Explore early vision and recognition with MITCBMM's short program. Learn about deep networks, processing hierarchy, and pedestrian detectors from Pietro Perona of Caltech.

• YouTube
• 43 minutes
• On-Demand
• Free Online Course

Compositional Models - Complexity of Representation and Interference

Explore the complexity of compositional models with MITCBMM's online material, featuring insights from UCLA's Alan Yuille. Dive into data-driven models, feedback, hierarchies, and more in under an hour.

• YouTube
• 51 minutes
• On-Demand
• Free Online Course

Scattering Bricks to Build Invariants for Perception - Part 1

Explore high-dimensional classification, wavelet translation, and deep convolution networks in less than an hour with MITCBMM's online offering.

• YouTube
• 32 minutes
• On-Demand
• Free Online Course

Why It Pays to Study Psychology - Lessons from Computer Vision

Explore the intersection of psychology and computer vision with MITCBMM's online material. Learn texture analysis, scene recognition, 3D reasoning, and self-supervised learning in under an hour.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Why Do Our Models Learn?

Explore the alignment between benchmark-driven ML paradigms and real-world use cases with MITCBMM. Understand biases in datasets, their origins, and how to quantify them. Duration: 1-2 hours.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Online Course

Functional Specificity in the Human Brain - What, Whether, and Why?

Explore the functional specificity of the human brain in less than an hour with MITCBMM. Learn about scanning, CNN-based models, face recognition, and more.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

DeepOnet - Learning Nonlinear Operators Based on the Universal Approximation Theorem of Operators

Explore the potential of neural networks in learning continuous operators with MITCBMM's online program. Learn to design DeepONet, a network with small generalization error, in under an hour.

• YouTube
• 58 minutes
• On-Demand
• Free Online Course