| UCSD | 2008 | UCSD | Lecture | UCSD认知科学课程合集 |
| Creel | 2008 | UCSD | Lecture | Language (and other fun sounds) |
| Angela Yu | 2008 | UCSD | Lecture | The Computing Brain: Focus on Decision-Making |
| Rafael E. Núñez | 2008 | UCSD | Lecture | Conceptual Abstraction and the Embodied Mind: The empirical study of spatial construals of time |
| Nitz | 2008 | UCSD | Lecture | Mapping Space in the Brain |
| David Kirsh | 2008 | UCSD | Lecture | Designing Future Environments |
| Gedeon O. Deák | 2008 | UCSD | Lecture | How infants learn social skills |
| Jaime A. Pineda | 2008 | UCSD | Lecture | Social Cognition and the Mirror Neuron System of the Brain |
| Emanuel Todorov | 2008 | UCSD | Lecture | Intelligent control of action in biology and engineering |
| Howard Poizner | 2008 | UCSD | Lecture | Motor Disorders |
| Chiba | 2008 | UCSD | Lecture | Post-Traumatic Stress Disorder? |
| Terry Jernigan | 2008 | UCSD | Lecture | Structural brain imaging is a window on postnatal brain development in children |
| Kim Sweeney | 2008 | UCSD | Lecture | Event Related Potentials (ERPs): What can they tell us about how we think? |
| Peter Latham | 2013 | UCL | Lecture | Decision making |
| Stanislas Dehaene | | NeuroSpin Center | Lecture | Reading in the brain |
| Stephen Baccus | 2018 | MCN | Lecture | Biophysics of Computational Neuroscience |
| Mark Goldman | 2018 | MCN | Lecture | Applications of Linear Algebra, Differential Equations and SVD |
| Mark Goldman | 2018 | MCN | Tutorial | PCA |
| Mark Goldman | 2018 | MCN | Tutorial | Differential Equations |
| Daniel Johnston | 2018 | MCN | Lecture | Ion Channels and Conductance-based Models |
| Bartlett Mel | 2018 | MCN | Lecture | Computation in Dendrites |
| Uri Eden | 2018 | MCN | Lecture | Statistical Tools in Neuroscience |
| Adrienne Fairhall | 2019 | MCN | Lecture | Neural coding and adaptation |
| Stephen Baccus | 2018 | MCN | Lecture | Neural Coding in Retinal Circuitry |
| Dmitri Mitya Chklovskii | 2018 | MCN | Lecture | Theory of Neural Coding in Circuits |
| Jonathan Pillow | 2018 | MCN | Lecture | Advanced Tools for Modeling and Neural Data Analysis |
| Surya Ganguli | 2018 | MCN | Lecture | High-dimensional Statistics and Compressed Sensing |
| Surya Ganguli | 2018 | MCN | Lecture | A Unified Framework for Machine Learning and Statistics |
| Kenneth Harris | 2018 | MCN | Lecture | Cortical Microcircuits and Population Dynamics |
| Kenneth Harris | 2018 | MCN | Lecture | Cortical Microcircuits and Population Dynamics |
| Haim Sompolinsky | 2018 | MCN | Lecture | Recurrent Network Theory And E-I Balanced Networks |
| Jeffrey Fitzgerald | 2018 | MCN | Lecture | Analysis of Whole Brain Imaging |
| Haim Sompolinsky | 2018 | MCN | Lecture | Internal Representation and Randomness |
| Claudia Clopath | 2019 | MCN | Lecture | Models of synaptic modification and homeostasis |
| Stefano Fusi | 2018 | MCN | Lecture | Memory Storage Capacity and Forgetting in Networks |
| Carlos Brody | 2018 | MCN | Lecture | Evidence Accumulation |
| Mark Goldman | 2018 | MCN | Lecture | Neural Integrators |
| G Gage | 2019 | MCN | Lecture | Experimental project ideas |
| Loren Frank | 2018 | MCN | Lecture | Hippocampal Circuits for Spatial Navigation and Episodic Memory |
| Ila Fiete | 2018 | MCN | Lecture | Models of Navigational Circuits, Continuous Attractors and Manifolds |
| Larry Abbott | 2018 | MCN | Lecture | Training Recurrent Neural Networks |
| Kenji Doya | 2018 | MCN | Lecture | Computational Model of Reinforcement Learning |
| Kenji Doya | 2018 | MCN | Tutorial | Computational Model of Reinforcement Learning |
| Naoshige Uchida | 2018 | MCN | Lecture | Circuit Mechanisms of Dopamine Signaling |
| Reza Shadmehr | 2018 | MCN | Lecture | Experiments and Theory of Movement Control |
| Michale Fee | 2018 | MCN | Lecture | Basal Ganglia and Learned Motor Behavior |
| Larry Abbott | 2018 | MCN | Lecture | The ELL Network |
| Hongkui Zeng | 2018 | MCN | Lecture | Large-scale, Cell-type Specific Connectomics |
| Emery Brown | 2019 | MCN | Lecture | Neurobiology of consciousness |
| David Redish | 2020 | MCN | Lecture | Computational psychiatry |