Welcome to the Neural and Hybrid Computing Laboratory (NHC)
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:
Functional Integration of Neural Stem Cells for Brain Repair in an in vitro Stroke Model
Dockendorf, K.P., Park, I.I., Ping, H., Principe, J.C., DeMarse, T.B. (2009). Liquid State Machines and Cultured Cortical Networks: The Separation Property. Biosystems, 90-97.
Cadotte, A.J., Mareci T., DeMarse, T.B., Parekh, M., Rajagovindan, R., Ditto, W., Talathi, S., Hwang, D., Carney, P. (In Press). Temporal Lobe Epilepsy: Anatomical and Effective Connectivity. IEEE-Transactions on Neural Systems and Rehabilitation Engineering.
Cadotte, A.J., DeMarse, T.B., Grimes, J.N., Ding, M. (2008). Causal Measures of structure and plasticity in simulated and living neural networks. PLOS One.
Carney, P., Cadotte, A., DeMarse, T., Vemuri, B., T. Mareci, T., & Ditto, W. (2008). Functional and Anatomical Connectivity in the Rat Model of Spontaneous Limbic Seizures. In Schulze-Bonhage, Timmer, & Schelter Eds. Seizure Prediction in Epilepsy: From Basic Mechanisms to Clinical Applications. Wiley-VCH Verlog, Weinheim, Germany.
Park, I., Paiva, A., DeMarse, T., Principe, J. (2008). An Efficient Computation of Continuous-time Correlogram of Spike Trains. Journal of Neuroscience Methods, 168, 514-523,
Scarlatos, A., Cadotte, A., DeMarse, T.B., Welt, B. (2008). Biosensor Uses Cortical Networks on Microelectrode Arrays to Detect Botulism Toxin. Journal of Food Science, 73, 514-523.
Dockendorf, K., & DeMarse, T. (2007). Amplitude and Spike Timing Dependent Plasticity. Neural Networks: IJCNN Proceedings of International Joint Conference on Neural Networks, 1802-1806
Bakkum, D., Chao, Z., Gamblen, P., Ben-Ary, G., Schkolnik, A., DeMarse, T., Potter, S. (2007). Embodying Cultured Networks with a Robotic Drawing Arm. Proceedings of the 29th IEEE Engineering in Medicine and Biology Society Conference, 1, 2996-2999.
Elmariah, H., Dockendorf, K., Sadlier, R., and DeMarse, T. (2006). 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 19th International Joint Conference on Neural Networks, 581-586.
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 19th International Joint Conference on 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. (2006). Pre-Ictal Correlation and Entropy Analysis of Microwire Data from an Animal Model of Limbic Epilepsy. Proceedings of the 28th IEEE Engineering in Medicine and Biology Society Conference, 1605-1607.
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. (2006). Detection of High Frequency Oscillations with Teager Energy in an Animal Model of Limbic Epilepsy. Proceedings of the 28th IEEE Engineering in Medicine and Biology Society Conference, 2578-2580.
Simonotto, J.D., Myers, S., Furman, M.D., Norman, W., Liu, Z., DeMarse, T.B., Carney, P., Ditto, W. L. (2006). 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 IEEE Engineering in Medicine and Biology Society Conference, 1154-1156.
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.
Bakkum, D. J., Shkolnik, A. C., Ben-Ary, G., Gamblen, P., DeMarse, T. B., Potter, S. M (2005). Removing some ‘A’ from AI: Embodied Cultured Networks. In Iida, F., Pfeifer, R., Steels, L., and Kuniyoshi, Y., Eds., Embodied Artificial Intelligence. Springer, New York, 3132, 130-145.
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.
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.
Wagenaar D.A., DeMarse T.B., Potter S.M. (2005). MEABench: A toolset for multi-electrode data acquisition and on-line analysis. In Proceedings of the 2nd International IEEE Engineering in Medicine and Biology Society Conference on Neural Engineering, 518–521.
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.
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, 3, 1548-1551. (Invited.)
DeMarse, T., Cadotte, A., Douglas, P., He, P., & Trinh, V. (2004). Computation Within Cultured Neural Networks. Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 7, 5340-5343.
Potter, S., DeMarse, T. Bakkum, D. Booth, M., Brumfield, J. Chao, Z., Madhaven, R., Passaro, P., Rambani, K. Shkolnik, A., & Towel, B. (2004). Hybrots Hybrids of living neurons and robots for studying neural computation, Brain Inspired Cognitive Systems, Scotland, UK.
Potter, S. M., DeMarse, T. B., Blau, A. W. Wagenaar, D. A. (2003). "Multi-photon time-lapse microscopy and optical recording to study neural processing and plasticity." Microscopy and Microanalysis 9(2): 184-185.
Potter, S. M., Madhavan, R., DeMarse, T. B., (2003). Long-term bidirectional neuron interfaces for robotic control, and in vitro learning studies. Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.