Course Modules
Foundations of Neural Networks and BrainSim-X Framework
Advanced Neural Dynamics
Explore nonlinear dynamics in neural computations and their implications for cognitive processes such as learning and memory.
Optimization of Activation Functions
Examine the performance of various activation functions (ReLU, ELU, Swish) and their impact on BrainSim-X models.
| Function | Description | Advantages | Disadvantages |
|---|---|---|---|
| ReLU | Linear for positive inputs | Sparse representation | Not zero-centered |
| ELU | Smooth transition for negatives | Robust against noise | Higher computational cost |
| Swish | Non-monotonic, smooth | Improves model accuracy | Computationally intensive |
Quantum Computing in BrainSim-X
Explore the potential of quantum neural networks (QNNs) and their applications in enhancing simulation capabilities.
Advanced Neuroimaging and Data Integration
Integration of High-Resolution Neuroimaging Data
Learn advanced methodologies to integrate data from fMRI, EEG, and PET scans.
Advanced Visualization Techniques
Develop expertise in visualization tools like BrainView to present neuroimaging data effectively.
Machine Learning Applications in BrainSim-X
Spiking Neural Networks (SNNs)
Investigate SNNs and their applications in modeling time-dependent cognitive processes.
Advanced Regression Techniques
Explore Gaussian processes and apply them to neuroimaging data for probabilistic predictions.
Ethical Frameworks and Practical Applications
Simulation of Neurological Disorders
Conduct simulations focusing on neurological conditions, analyzing progression and treatment responses.
Ethical Considerations and AI in Healthcare
Discuss the ethical implications of AI in healthcare, including bias, accountability, and privacy.
Capstone Project: Innovations in Neuroscience and AI
Project Identification and Development
Identify significant research questions aligned with current challenges in neuroscience and AI.
Implementation Framework
Develop project proposals specifying methodologies, timelines, and anticipated impacts.
Presentation and Evaluation
Master the art of presenting complex information succinctly and engagingly to diverse audiences.