Decision making in the frontal cortex: Evidence from single neuron electrophysiology Steve Kennerley Institute of Neurology, University College London Decision-making frameworks highlight several important computations that may be necessary for guiding optimal behavior. The brain needs to represent what alternatives are available and to compute the variables that will enable efficient choice between alternatives, such as the costs and benefits associated with each alternative. Once the choice has been made the brain must compute the value of the obtained outcome and generate a prediction error if the actual outcome deviates from the predicted outcome. These signals could serve to modify and maintain the values associated with different alternatives, thereby ensuring that future choices are optimal and adaptive. I will argue that single neurons in different prefrontal cortex (PFC) regions encode different types of value signals which may reflect some of these decision-making computations, although they do not fully capture the dynamics of the decision-making process. To address this, I will discuss our recent results of PFC recordings during a multi-attribute decision-making task. By using eye movements as a proxy for the type of value information accessible to the brain, it is possible to describe the dynamic process by which subjects gather information to guide decision-making. These results suggest the presence of a fast attentional mechanism that guides the initial saccade towards more behaviourally relevant information, with subsequent saccades defining the information gathering strategy. Our aim is to then describe models of how PFC activity relates to - and even drives - the evolution of this dynamic decision process.