CNEL – Computational NeuroEngineering Laboratory
The Computational NeuroEngineering Laboratory (CNEL) is part of the ECE Department of the University of Florida. The CNEL does research in collaboration with the Brain Institute and the Brain Dynamics Bioengineering Research Partnership. The CNEL also contains a subdivision known as the Hybrid Computation Group.
The CNEL is conducting research in adaptive information processing systems. The research, which is aptly described by a former visitor from Norway in a Norwegian Signal Processing publication which may be found here, is interdisciplinary and focuses on nonlinear adaptive signal processing, pattern recognition, neuromorphic computation and neurobiologically inspired models and devices. The current research groups in CNEL include the following: Biologically-Inspired Analog Circuits (Analog), Brain Dynamics Laboratory (BDL), Biologically-Inspired Nanolattice Computers (Bio-Nano), Brain Machine Interface (BMI), Biologically-Inspired DSP-Based Algorithms (Digital), Information Theoretic Learning (ITL), Identification and Control of Aircraft (LoFlyte), Non-Linear Digital Signal Processing (NLDSP), and Silicon Olfactory Cortex (SiCortex). The research sponsors during the last 5 years include NSF, NIH, ONR, and DARPA grants with a total research funding of approximately 2 million dollars.
A growing activity is to educate ECE undergraduate students about these interdisciplinary topics using the Interactive Teaching Laboratory. Other than the classes, the CNEL conducts weekly seminars during the fall and spring semesters. Many of the publications originated by members of CNEL may be found in the publications section (also see book, dissertations, and theses). In addition, several of the more recent presentations are available on-line. A list of technical journals and upcoming conferences that concern research conducted at CNEL is maintained in the conferences and journals sections.