Welcome to the Neural and Hybrid Computing Laboratory (NHC) Homepage
University of Florida
147 Biomedical Engineering Building
Gainesville, Florida 32611-6131
My laboratory studies the neuro-computational principles underlying learning and memory using in-vitro rat cortical neurons on micro-electrode array (MEA) technology. Living neurons or neuronal tissue are placed over the surface of 60 electrodes embedded under the surface of a MEA. These electrodes allow us to measure the activity of a small population of neurons (~100) and stimulate network activity in real-time. The side-bar contains links to the current and past projects we have been working on as well as information about the technologies we use and have created to understand the mechanisms that form the basis of computation and memory in the brain.
List of Active Projects:
Neural Modeling
Plasticity
Impedance Tomography
Epilepsy
PolyHEMA Drug Delivery Device
Older Projects:
Neural Flight Control
64 Channel Real Time Stimulator
Mac OSX port of Meabench
Recent Publications:
Simonotto, J.D., Myers, S., Furman, M.D., DeMarse, T.B., Norman, W., Carney, P., Ditto, W. L. (submitted). Observation of suppressed coherence below 200Hz in in-vivo microelectrode hippocampal recordings during epileptogenisis in rats. European Journal of Neuroscience.
Elmariah, H., Dockendorf, K., Sadlier, R., and DeMarse, T. (accepted). Impedance changes in spontaneously active Aplysia Neural Tissue. IEEE Cairo International Biomedical Engineering Conference (CIBEC).
Park, I., Xu, D., DeMarse, T. B., and Principe, J. C. (2006). Towards Modeling and Controlling of Synchronized Burst: An Exploration of Parameter Space. Proceedings of the International Journal of Computation and Neural Networks.
Goswami, D., Schuch, K., Zheng, Y., DeMarse, T., Principe, J. C. (2006). Towards the modeling of dissociated cortical tissue in the liquid state machine framework. Proceedings of the International Journal of Computation and Neural Networks, 2179-2183.
Mishra, M., Jones, B., Simonotto, J.D., Furman, M.D., Norman, W., Liu, Z., DeMarse, T.B., Carney, P., Ditto, W.L. (accepted). Pre-Ictal Correlation and Entropy Analysis of Microwire Data from an Animal Model of Limbic Epilepsy. Proceedings of the 28th International IEEE Engineering in Medicine and Biology Society Conference.
Nelson, R., Myers, S., Simonotto, J.D., Furman, M.D., Spano, M.L., Norman, W., Liu, Z., DeMarse, T.B., Carney, P., Ditto, W.L. (accepted). Detection of High Frequency Oscillations with Teager Energy in an Animal Model of Limbic Epilepsy. Proceedings of the 28th International IEEE Engineering in Medicine and Biology Society Conference.
Simonotto, J.D., Myers, S., Furman, M.D., Norman, W., Liu, Z., DeMarse, T.B., Carney, P., Ditto, W. L. (accepted). Coherence Analysis Over the Latent Period of Epileptogenesis Reveal that High-Frequency Communication is Increased Across Hemispheres in an Animal Model of Limbic Epilepsy. Proceedings of the 28th International IEEE Engineering in Medicine and Biology Society Conference.
Potter, S. M., Wagenaar, D. A., & DeMarse, T. B. (2006). Closing the Loop: Stimulation Feedback Systems for Embodied MEA Cultures. In Advances in Network Electrophysiology Using Multi-Electrode Arrays, M. Taketani and M. Baudry (Eds.),215-242.
Cadotte, A. J. & DeMarse, T. B. (2005) Poly-HEMA as a Drug Delivery Device for In Vitro Neural Networks on Micro-Electrode Arrays. Journal of Neural Engineering, 2(4), 114-122.
Sadleir, R. J., Grant, S. C., DeMarse, T. B., Woo, E. J., Lee, S. Y., Kim, T. S., Oh, S. H.,Zhang, S.U., Lee, B. I., & Seo, J.K. (2005). Study of MRI/MEA compatibility at 17.6 Telsa. Proceedings of the 5th International conference on Bioelectromagnetish and 5th International symposium on noninvasive functional source imaging within the human brain and heart (BME & NFSI), International Journal of Bioelectromagnetism. 7, 278-281.
DeMarse, T. B., & Dockendorf, K. P. (2005). Adaptive flight control with living neuronal networks on microelectrode arrays. Proceedings of the International Journal of Computation and Neural Networks. (Invited.)
Scarlatos, A., Welt, B. A., Cooper, B. Y., Archer, D., DeMarse, T. B., Chau, K.V. (2005). Concise Review: Methods for detecting botulinum toxin with applicability to screening foods against biological terrorist attacks. Journal of Food Science, 70(8), 121-129.
DeMarse, T. B., & Urcuioli, P. J. (2005). Control of matching by differential outcome expectancies in the absence of differential sample-outcome associations: A serial-compound view. Journal of Experimental Psychology: Animal Behavior Processes, 31(4), 449-466.