Abstact

Studying visual neurons may explain how a human brain performs image analysis. The main question is what mathematical function can represent the processes occurring in the brain. Nowadays there is a variety of models, which are trying to reproduce them. The estimation of precision of such models is the difference between the predicted output (firing rate) and the real experimental data. In this project we will be implementing 5 models, which predict neurons’ firing rates. The implementation of the models also requires parameters fitting, validation and testing procedures.

Self Intoduction	[	presentation (16.09.06)	]
Proposal	[	presentation (16.09.27)	\|	documentation	]
Mid-Year	[	presentation (16.12.08)	\|	documentation	]
Status Update	[	presentation (17.03.07)	]
Final	[	presentation (17.05.11)	\|	documentation	]