Signal Processing and Machine Learning
Faculty listed below:
Faculty listed below:
Professor Scott Grafton is interested in how people organize movement into goal-oriented action.
The main goal of our research is to understand how navigational behavior comes about in terms of neural-circuit computation. By combining behavioral quantification, functional analysis and computational modeling, we seek to unravel structure-function relationships between neural circuits, sensory coding and adaptive decision-making.
The main focus of our research is on new architectures and algorithms for next generation wireless communication and sensor networks.
Reseach interest: Biological Dynamics; control of neural populations; natural and artificial swarms: schooling fish, flocking birds, etc- territorial behavior- coupled oscillators. Fluid Dynamics- shear flow turbulence. Mechanical Systems- theoretical analysis of individual and coupled MEMS devices; vibrational energy harvesting. Networks - information propagation through social networks; collective decision making. Dynamical Systems- bifurcation theory- canards.
How does the brain control behavior? We study the neural circuits that organize a flexible sequence of movements that remove dust from fruit flies. Drosophila grooming behavior is a rich model for understanding how sensory inputs modify motor programs. We use approaches from genetics, optogenetics, neuroethology and machine vision, and functional imaging of neural activity to decipher the logic and implementation of behavior sequences.
The lab of Spencer LaVere Smith (slslab.org) is investigating neural circuitry in action using novel instrumentation. One half of the lab is neuroengineering new instrumentation for measuring and manipulating neural activity. The other half of the lab is using the technology to perform experiments and gain insights into how neural circuitry processes stimuli and drives adaptive behavior.
My primary research interests are in computer vision and imaging, human-computer interaction, machine learning, and augmented reality. I'm also interested in computation models of, and tools for, neuroscience.