CNEL research explores the principles that guide our ability to comprehend brain function, treat brain disorders, and ultimately to interface directly with the brain. Our researchers combine principles from machine learning, signal processing theory, and computational neuroscience to advance the science of engineering systems. We envision a time when brain and machine can interface through conscio
us thought, enabling normal function in cases of brain injury or disease. The Hybrid Group:
Hybrid Computational Group is a part of Computational Neuro Engineering Laboratory (CNEL) in Department of Electrical and Computer Engineering at University of Florida led by Dr. John Harris. The research group is devoted to the development of theoretical concepts and practical applications of research problems originating from diverse fields, such as, Speech and Language Processing, Automatic Speech Recognition, Neural Networks, Signal Processing, Human-Machine Interaction Biomedical Signal Processing and Neuromorphic chips using Analog VLSI. The group is developing biologically inspired algorithms for sensory and neural processing that can be implemented in analog VLSI or DSP systems. Hybrid means that we combine elements of analog/digital or biological/artificial).
