JEKATERINA NOVIKOVA

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Computation and the Brain (LuleƄ University of Technology / 2011)

Contents: In the course I've studied the brain and its functions, such as perception and attention, memory, emotions and executive functions. Theories and models from the field of biological psychology, computational neuroscience and artificial neural networks are covered.

Project 1:

Approximation of function by neural networks. The goal is to build a feedforward neural network that approximates the following function:

Project steps include data preparation, network design, network training and network testing, all programmed in Matlab.

Project 2:

Vehicle guidance for obstacle avoidance. It's assumed that the vehicle knows its own position and the position of the goal. After each step the vehicle's position is adjusted due to the possible noise and uncertainty in achieving the calculated movement. Gaussian functions are used for constructing the surface with obstacles, multiobjective cost function used for path planning strategy. The project is performed in Matlab.

Assignment works:

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