Amir Shahhosseini, as3289@cam.ac.uk
Iran
Engineering, Sidney Sussex College
PhD thesis title: A Novel Approach Toward Predictive Modelling of Neurosystems: A Dynamic Decoder
Research interests:
1. Computational Neuroscience
2. Nonlinear Dynamics
3. Modelling and Simulation
4. System Theory
How does the brain process the information it receives from its environment? Does it behave similarly to a classical computer or are there fundamental differences? The correct and exact answers to these questions have been longstanding problems in the field of neuroscience. To provide any advancement in this field, the individual and collective dynamics of the neurons should be thoroughly comprehended.
This research borrows notions from control theory in an attempt to propose an accurate yet biologically realizable model of the information processing procedure of the brain. Due to the adaptive and dynamic nature of the intended model, it should be capable of capturing complex dynamical properties of the information processing procedure of the brain such as drift.
Who or what inspired you to pursue your research interests?
The recent advances in neuroscience have significantly impacted the academic world due to its importance and wide spectrum of applications. The purely scientific side of this project is intertwined with numerous open questions that can change our perspective on how the brain works. Additionally, the possible acquired knowledge of this research can be utilized in the proposition of novel medical treatments for numerous neuron diseases that can help humankind as a whole.