Ghanim Ullah
The Physics & Astronomy Colloquium Series presents Ghanim Ullah of the University of South Florida on “Towards a model-based control of neuronal systems” on Friday, Jan. 16, at 4:10 p.m. in Walter 245.
Abstract: Observability and efficient control of a dynamical system requires an understanding of its state -‐ the collective values of all its variables, and a fundamental model that can track the system. However, existing techniques are limited to measure all but a small fraction of the physical variables of neuronal networks. Similarly, existing neuronal models serve well in fitting the observations but are inadequate for tracking the system. Our goal is to develop biophysical models capable of tracking and controlling neuronal systems. I will demonstrate the incorporation of these models into a model-‐based framework from modern control theory to estimate the full dynamics of small neuronal networks using a single measured variable and design better control strategies for pathological behavior. We use reconstruction to account for unmeasured parts of the neuronal system, relating micro-‐domain metabolic processes to cellular excitability, and validate the reconstruction against actual measurements. In the processes of developing fundamental neuronal models, we uncovered a unified framework for neuronal dynamics accounting for a wide range of neuronal activities, from spikes to seizures, spreading depression, anoxic depolarization during stroke, and the terminal anoxic “wave of death”.
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