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Lecture
Introduction to Systems Neuroscience: Memory Systems Overview
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Data-Driven Modeling in Neuroscience: Meenakshi Khosla
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Brain Intelligence: Continual Learning of Representational Models
Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.
Microcircuit Modeling: Hippocampus Insights
Covers the simulation of a hippocampus microcircuit for understanding brain function and behavior.
Controlling Behavior in Animals and Robots
Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.
Neuroscience and Machine Learning: Understanding Visual Intelligence
Explores the relationship between neuroscience and machine learning in visual intelligence.
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Explores dynamical modeling, decoding, and control of brain network activity for personalized therapy.
Brain-Computer Interfaces: Advancements in Systems Neuroscience
Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.
The Microcircuits of Striatum in Silico
Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.
Neural Signals and Signal Processing
Explores neuronal signals, brain organization, measurement techniques, and MRI principles.
Master in Neuro-X: Interdisciplinary Approaches to Neurotechnology
Presents the Master in Neuro-X program, emphasizing its interdisciplinary approach and career opportunities in neurotechnology.
