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 |