Birdsong: My group is currently collaborating with Richard Mooney's birdsong group to understand the neural circuitry of auditory-guided vocal learning in songbirds, since this is a promising experimental paradigm for investigating the neural basis of human speech. Of especial interest is to understand how the nuclei of the premotor pathway (HVc and RA) and of the anterior forebrain pathway (X to DLM to lMAN to X) coordinate their activities so that young songbirds can learn the adult songs appropriate to their species.
Olfaction: A few years ago, I spent a sabbatical year in the laboratory of Dr. Larry Katz, whose group carries out research on mammalian olfaction. Key questions are how do the spatiotemporal electrochemical patterns of the main olfactory bulb and of the accessory olfactory bulb enable an animal to classify odors, to remember odors, and to identify certain mixtures of odors (e.g., pheromone) as a unique perception.
EEG data analysis: I have collaborated with
Dr. Andrew Krystal of Duke University's Medical
Center on applications of nonlinear dynamics to the analysis
of EEG data derived in the context of helping severely
depressed patients by electorconvulsive therapy (ECT). While
the longer-term clinical goal is to find ways to improve the
efficacy of ECT treatments, a shorter term research goal was
to understand how to take into account the strongly
nonstationary character of a given EEG recording and how to
detect and take into account the substantial statistical
variability of EEG recordings, even when data from one
patient is compared with data of the same patient a week
later. Andrew and I are also interested in some of the
questions that fascinate many other people about EEG data,
e.g,, how much cognitive and clinical information can be
extracted from an EEG, which represents a coarse averaging
of signals from millions of cortical neurons?