NEUR 314 - Introduction to Neurobiology
Computational Neuroscience, Adaptive Sensing
Our lab is interested in sensory-motor control strategies and information processing principles that animals use to actively acquire sensory information in complex, dynamic environments. We investigate these issues in natural and artificial systems using both experimental and computational studies. Current projects in the lab include developing biologically inspired control systems for autonomous robots and adaptive communication strategies for wireless sensing networks.
"Bio-inspired Smart Sensor Networks for Adaptive Emergency Response.” NSF EAGER. With BF Spencer (Civil Engineeering, UIUC) and G Agha (Computer Science, UIUC).
Yoon H, Shiftehfar R, Cho S, Spencer BF, Nelson ME, Agha G (2015) Victim Localization and Assessment System for Emergency Responders. J. Comput. Civ. Eng. doi: 10.1061/(ASCE)CP.1943-5487.0000483, 04015011.
Jo H, Sim SH, Tatkowski A, Spencer BF, Nelson ME (2013) Feasibility of displacement monitoring using low-cost GPS receivers. Structural Control and Health Monitoring 20 (9), 1240-1254.
Nelson ME(2011) Electrophysiological models of neural processing. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 3: 74-92.
Nelson ME (2011) Biological smart sensing strategies in weakly electric fish. Smart Structures and Systems 7(6) 107-117.
Nelson ME (2009) Smart Sensing Strategies: Insights from a Biological Active Sensing System. Proceedings of the 5th International Workshop on Advanced Smart Materials and Smart Structures Technology. July 2009. Boston, MA.
Snyder JB, Nelson ME, Burdick JW, Maclver MA (2007) Omnidirectional sensory and motor volumes in electric fish. PLoS Biology 5, (11), 2671-2683.
Ludtke N, Nelson ME (2006) Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains. Neural Computation 2006, 18, (12), 2879-2916.
Nelson ME, MacIver MA (2006) Sensory acquisition in active sensing systems. J. Comp. Physiol. A 192, 573-586.