Neuronal mechanisms for decision optimization

People involved in the colaboration


Decision making is a frequent element of life of animals and humans. The accuracy and speed of the decisons may be crutially important for survival. Therefore, evolutionary pressure promotes animals making optimal decisions, and hence it is plausible that decision networks in the brain have parameters resulting in the optimal performance.  Our research focuses on mathematical analysis of neural network models of decision processes in the brain. We ask what neuronal networks and what values of their parameters allows making decisions with the maximum accuracy and in the shortest time. We seek the network architecture allowing optimal decisions, and the optimal values of parameters such as: decision threshold, neuronal gain, and decision bias.


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