课件

作者日期机构类型题目
UCSD2008UCSDLectureUCSD认知科学课程合集
Creel2008UCSDLectureLanguage (and other fun sounds)
Angela Yu2008UCSDLectureThe Computing Brain: Focus on Decision-Making
Rafael E. Núñez 2008UCSDLectureConceptual Abstraction and the Embodied Mind: The empirical study of spatial construals of time
Nitz2008UCSDLectureMapping Space in the Brain
David Kirsh2008UCSDLectureDesigning Future Environments
Gedeon O. Deák2008UCSDLectureHow infants learn social skills
Jaime A. Pineda2008UCSDLectureSocial Cognition and the Mirror Neuron System of the Brain
Emanuel Todorov2008UCSDLectureIntelligent control of action in biology and engineering
Howard Poizner2008UCSDLectureMotor Disorders
Chiba2008UCSDLecturePost-Traumatic Stress Disorder?
Terry Jernigan2008UCSDLectureStructural brain imaging is a window on postnatal brain development in children
Kim Sweeney2008UCSDLectureEvent Related Potentials (ERPs): What can they tell us about how we think?
Peter Latham2013UCLLectureDecision making
Stanislas DehaeneNeuroSpin CenterLectureReading in the brain
Stephen Baccus2018MCNLectureBiophysics of Computational Neuroscience
Mark Goldman2018MCNLectureApplications of Linear Algebra, Differential Equations and SVD
Mark Goldman2018MCNTutorialPCA
Mark Goldman2018MCNTutorialDifferential Equations
Daniel Johnston2018MCNLectureIon Channels and Conductance-based Models
Bartlett Mel2018MCNLectureComputation in Dendrites
Uri Eden2018MCNLectureStatistical Tools in Neuroscience
Adrienne Fairhall2019MCNLectureNeural coding and adaptation
Stephen Baccus2018MCNLectureNeural Coding in Retinal Circuitry
Dmitri Mitya Chklovskii 2018MCNLectureTheory of Neural Coding in Circuits
Jonathan Pillow2018MCNLectureAdvanced Tools for Modeling and Neural Data Analysis
Surya Ganguli2018MCNLectureHigh-dimensional Statistics and Compressed Sensing
Surya Ganguli2018MCNLectureA Unified Framework for Machine Learning and Statistics
Kenneth Harris2018MCNLectureCortical Microcircuits and Population Dynamics
Kenneth Harris2018MCNLectureCortical Microcircuits and Population Dynamics
Haim Sompolinsky2018MCNLectureRecurrent Network Theory And E-I Balanced Networks
Jeffrey Fitzgerald2018MCNLectureAnalysis of Whole Brain Imaging
Haim Sompolinsky2018MCNLectureInternal Representation and Randomness
Claudia Clopath2019MCNLectureModels of synaptic modification and homeostasis
Stefano Fusi2018MCNLectureMemory Storage Capacity and Forgetting in Networks
Carlos Brody2018MCNLectureEvidence Accumulation
Mark Goldman2018MCNLectureNeural Integrators
G Gage2019MCNLectureExperimental project ideas
Loren Frank2018MCNLectureHippocampal Circuits for Spatial Navigation and Episodic Memory
Ila Fiete2018MCNLectureModels of Navigational Circuits, Continuous Attractors and Manifolds
Larry Abbott2018MCNLectureTraining Recurrent Neural Networks
Kenji Doya2018MCNLectureComputational Model of Reinforcement Learning
Kenji Doya2018MCNTutorialComputational Model of Reinforcement Learning
Naoshige Uchida2018MCNLectureCircuit Mechanisms of Dopamine Signaling
Reza Shadmehr2018MCNLectureExperiments and Theory of Movement Control
Michale Fee2018MCNLectureBasal Ganglia and Learned Motor Behavior
Larry Abbott2018MCNLectureThe ELL Network
Hongkui Zeng2018MCNLectureLarge-scale, Cell-type Specific Connectomics
Emery Brown2019MCNLectureNeurobiology of consciousness
David Redish2020MCNLectureComputational psychiatry

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