dr. F. Razi (Farhad)

I am a postdoctoral researcher at the Donders Centre for Neuroscience (DCN) in the Netherlands, focusing on how neuromodulators influence biologically realistic neural networks and learning tasks. My research aims to uncover mechanisms underlying information processing, learning, and memory in the brain. With a background in physics and a Ph.D. in computational neuroscience, I bring strong analytical thinking and problem-solving skills to my work. I am passionate about developing circuit models and neural networks that simulate brain functions, seeking new biological insights that could lead to innovative therapeutic applications.
Mathematical Expertise:
• Dynamical Systems: Analyzing complex systems and their behaviors over time.
• Linear Algebra: Using matrix operations to process data and solve equations.
• Mathematical Programming: Applying optimization techniques to enhance model performance.
• Analytical Thinking: Breaking down complex problems into manageable parts.
• Conceptual Development: Creating theoretical frameworks for understanding neural processes.
Data Analysis Skills:
• Statistical Analysis: Interpreting data to identify trends and draw conclusions.
• Machine Learning Techniques: Implementing algorithms to improve predictive modeling.
• Data Cleaning and Preparation: Ensuring data quality for accurate analysis.
• Data Curation: Organizing and maintaining datasets for research purposes.
• Data Exploration and Visualization: Discovering insights through rigorous examination of data.
Through my research, I aim to contribute to understanding neural dynamics and their implications for cognitive functions, ultimately paving the way for advancements in neuroscience and potential therapeutic strategies.

• Natural Computing & Neurotechnology

• Biophysics of Neural Computation