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Related lectures (32)
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Surprise, Curiosity and Reward: An Evolutionary Perspective
Explores the evolutionary perspective on surprise, curiosity, and reward, focusing on the role of primary and secondary reward signals.
Neural Architectures for Embodied AI and Cognition
Explores neural architectures for embodied AI, cognitive systems, and the integration of computing and robotics.
Modeling Electrophysiology: Different Scales
Covers modeling electrophysiology at different scales, discussing ion channels, single neurons, and microcircuits.
Taxes Behaviors: Simple Signals, Complex Behaviors
Explores how organisms respond to environmental signals, showcasing how simple algorithms can lead to complex behaviors.
Attractor Networks and Generalizations
Explores attractor networks, Hopfield model generalizations, and memory dynamics in computational neuroscience.
Fundamentals of Brain Connectomics
Introduces the basics of brain connectomics, including terminology, data preprocessing, functional MRI, connectivity measures, and modular structure.
Neural Networks: Hierarchical Models and Odor Taxis
Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.
Spatial Continuum: Field Equations
Explores spatial continuum models, field equations, and coupling mechanisms in computational neuroscience.
Neural Taskonomy and Historical Perspectives in Visual Intelligence
Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.
Dynamical modeling, decoding, and control of multiscale brain network activity
Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.