Project Goals
• Uncovering the contribution of different types of neurons in the prefrontal cortex (e.g., neurons with mixed selectivity) to the dynamic and/or stable coding of behaviorally relevant information.
• Developing a biologically inspired artificial recurrent neural network (RNN) that reproduces prefrontal activity patterns in visual attention and cognitive flexibility tasks.
• Experimentally testing model predictions in rodents and primates, linking dendritic/synaptic mechanisms to flexible behavior.