Lectures related to Dynamical modeling, decoding, and control of multiscale brain network activity

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.

Introduction to Systems Neuroscience: Memory Systems Overview

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

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.

The Microcircuits of Striatum in Silico

Explores the reconstruction of a full-scale mouse striatal cellular level model to integrate and interpret striatal data.

Brain-Computer Interfaces: Advancements in Systems Neuroscience

Covers brain-computer interfaces and their impact on systems neuroscience and neuroprosthetics.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Integrative Benchmarking: Advancing System Models of Human Intelligence

Explores advancing system models of human intelligence through integrative benchmarking and the importance of Brain-Score for fair model comparisons.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Optimization of Neuroprosthetic Systems

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Miniaturized CMOS Interfaces

Explores miniaturized CMOS interfaces for neural signals processing and neurostimulation.

Controlling Behavior in Animals and Robots

Explores embodied behavioral control in animals and robots through group presentations and hands-on exercises.

Master in Neuro-X: Interdisciplinary Approaches to Neurotechnology

Presents the Master in Neuro-X program, emphasizing its interdisciplinary approach and career opportunities in neurotechnology.

Approaches and Rationale of Simulation Neuroscience

Explores the overview, rationale, and strategies of simulation neuroscience, emphasizing the challenges of reconstructing and simulating the brain.

Neural Signals and Signal Processing

Explores neural signals, brain imaging techniques, and brain organization, emphasizing the importance of understanding brain imaging methods and measuring brain signals noninvasively.

Blue Brain: Neocortical Microcircuitry

Covers the Blue Brain project's history, neocortical microcircuitry, neuron morphologies, and ion channel behavior.

Neural Signals and Signal Processing

Explores neuronal signals, brain organization, measurement techniques, and MRI principles.

Neural Networks: Hierarchical Models and Odor Taxis

Covers neural function, hierarchical models, odor taxis behaviors, and disparate circuit parameters in 18 slides.

Spinal Cord Injuries: Neural Recording Systems

Explores the consequences of spinal cord injuries and the development of wireless neural recording systems.

Neural Signal Recording: Electrode Types and Applications

Explores neural signal recording methods using various electrode types for in-vivo and in-vitro studies.

Concluding remarks

Summarizes the course on brain function, highlighting progress and future directions.