Reconstructing Brain Regions: Challenges and Strategies

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Transgenic Mice: Cre-Lines and Optogenetics

Covers transgenic mice using Cre-lines and optogenetics, exploring neural cell manipulation techniques and brain region-specific gene expression.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Neural Networks: Training and Optimization

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.

Neural Signals and Signal Processing: Hemodynamic Imaging

Explores hemodynamic imaging techniques to measure brain activity and understand brain structure and function.

Dynamic Functional Connectivity: Fundamentals

Covers the fundamentals of dynamic functional connectivity in the human brain, exploring challenges and analysis methods.

Neural Modeling: From Sensory Systems to Behavior

Explores neural modeling of sensory systems and behavior using deep neural networks and task-driven networks.

Understanding Proprioception: Neural Network Models

Explores how neural networks can help understand proprioception and muscle contraction.

Approaches and Rationale of Simulation Neuroscience

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

Higher-order Interactions in Brain Networks

Explores higher-order interactions in brain networks using simplicial complexes and information theory, analyzing data from fMRI, financial time-series, and infectious diseases.

Neural Signals and Signal Processing

Covers neural signals, brain enthusiasm, neuroimaging, and statistical analysis in neuroimaging studies.