Cognitive Rhythms and Computation Lab

In the fall this page will migrate to the University of New Mexico Department of Psychology where I have an assistant professorship.

It is likely that I will be accepting a graduate student next year.  For interested students, here is an example of the type of work I intend to continue at UNM.

Many of these research directions will be enhanced by the tremendous resources available at UNM, including high density EEG, EEG-integrated-TMS, tDCS/tACS, eyetracking & pupillometry, as well of the use of MEG and MRI at the MIND Research Network.

EEG Signatures of Frontal Cortical Function

The brain processes information with oscillations of neuronal populations.  I use EEG to measure these oscillations, particularly when the frontal cortex 
processes error or conflict information in order to adapt behavior.
Ongoing projects include investigations of:

Individual differences in dopamine geneotypes & response to dopamine challenge to determine the role of mid-frontal theta in reinforcement learning

Transcranial stimulation for targeted altering of frontal theta during learning and action monitoring
Cross-species comparisons of frontal theta during action monitoring

Computational and Systems Neuroscience of Fronto-Striatal Interaction       

In order to transcend simple descriptions of empirical effects I apply computational models to define theoretical perspectives, constrain interpretations, uncover latent effects, and make novel predictions. 

Ongoing projects include investigations of:

Informing Drift Diffusion Model parameters with eyetracking and pupillometry

Competitive control over action in reinforcement learning

Defining the information content of frontal theta (formal prediction error vs. unsigned surprise, updating decision threshold)
Pattern classification of EEG for revealing latent cognitive states

Computational Psychiatry

This integrated research p
erspective has promising implications for interpreting the mechanistic functions of fronto-striatal systems, and understandi
ng the dysfunctions that contribute to neurological and psychiatric disorders.

Ongoing projects include investigations of:

Reinforcement learning in Major Depressive Disorder

Orbitofrontal dysfunction in Obsessive Compulsive Disorder

The role of the Subthalamic Nucleus in cognitive control