Feedback control of the spatiotemporal firing patterns of neural microcircuits

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2010, Pages 4679-4684

  Liu, Jianbo ^a   Oweiss, Karim G ^a   Khalil, Hassan K ^a  

^a Michigan State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDBACK CONTROL; MIMO SYSTEMS;

CIRCUIT MODELING; CORTICAL NEURONS; FEEDBACK CONTROLLER; NEURAL MICROCIRCUIT; OUTPUT NEURONS; SIMULATION STUDIES; SPATIO-TEMPORAL FIRING PATTERNS; STIMULATION SITES;

CLOSED LOOP SYSTEMS;

EID: 79953130889     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2010.5716928     Document Type: Conference Paper

References (33)

1. A. L. Benabid, "Deep brain stimulation for parkinson's disease," Current Opinion in Neurobiology, vol. 13, no. 6, pp. 696-706, 2003.
2. B. S. Wilson and M. F. Dorman, "Cochlear implants: A remarkable past and a brilliant future," Hearing Research, vol. 242, no. 1-2, pp. 3-21, 2008, frontiers of auditory prosthesis research: Implications for clinical practice.
3. S. Song, P. J. Sjostrom, M. Reigl, S. Nelson, and D. B. Chklovskii, "Highly nonrandom features of synaptic connectivity in local cortical circuits," PLoS Biol, vol. 3, no. 3, p. e68, 03 2005.
4. W. Maass, P. Joshi, and E. D. Sontag, "Computational aspects of feedback in neural circuits," PLoS Comput Biol, vol. 3, p. e165, 01 2007.
5. M. Rosenblum and A. Pikovsky, "Delayed feedback control of collective synchrony: An approach to suppression of pathological brain rhythms," Phys. Rev. E, vol. 70, no. 4, p. 041904, 2004.
6. O. V. Popovych, C. Hauptmann, and P. A. Tass, "Effective desynchronization by nonlinear delayed feedback," Phys. Rev. Lett., vol. 94, no. 16, pp. 164 102-1-4, Apr 2005.
7. C. Batista, S. Lopes, R. Viana, and A. Batista, "Delayed feedback control of bursting synchronization in a scale-free neuronal network," Neural Networks, vol. 23, no. 1, pp. 114-124, 2010.
8. D. A. Wagenaar, R. Madhavan, J. Pine, and S. M. Potter, "Controlling Bursting in Cortical Cultures with Closed-Loop Multi-Electrode Stimulation," J. Neurosci., vol. 25, no. 3, pp. 680-688, 2005.
9. C. E. Behrend, S. M. Cassim, M. J. Pallone, J. A. Daubenspeck, A. Hartov, D. W. Roberts, and J. Leiter, "Toward feedback controlled deep brain stimulation: Dynamics of glutamate release in the subthalamic nucleus in rats," Journal of Neuroscience Methods, vol. 180, no. 2, pp. 278-289, 2009.
10. R. A. Normann, D. J. Warren, J. Ammermuller, E. Fernandez, and S. Guillory, "High-resolution spatio-temporal mapping of visual pathways using multi-electrode arrays," Vision Research, vol. 41, no. 10-11, pp. 1261-1275, 2001.
11. J. Zhang, F. Laiwalla, J. A. Kim, H. Urabe, R. V. Wagenen, Y.-K. Song, B. W. Connors, F. Zhang, K. Deisseroth, and A. V. Nurmikko, "Integrated device for optical stimulation and spatiotemporal electrical recording of neural activity in light-sensitized brain tissue," Journal of Neural Engineering, vol. 6, no. 5, p. 055007 (13pp), 2009.
12. N. Grossman, V. Poher, M. S. Grubb, G. T. Kennedy, K. Nikolic, B. McGovern, R. B. Palmini, Z. Gong, E. M. Drakakis, M. A. A. Neil, M. D. Dawson, J. Burrone, and P. Degenaar, "Multi-site optical excitation using chr2 and micro-led array," Journal of Neural Engineering, vol. 7, no. 1, p. 016004 (13pp), 2010.
13. L. Abbott, "Decoding neuronal firing and modeling neural networks," Quart. Rev. Biophys, vol. 27, pp. 291-331, 1994.
14. J. E. Rubin and D. Terman, "High frequency stimulation of the subthalamic nucleus eliminates pathological thalamic rhythmicity in a computational model," Journal of Computational Neuroscience, vol. 16, no. 3, pp. 211-235, 2004.
15. M. D. Humphries, R. D. Stewart, and K. N. Gurney, "A Physiologically Plausible Model of Action Selection and Oscillatory Activity in the Basal Ganglia," J. Neurosci., vol. 26, no. 50, pp. 12921-12942, 2006.
16. A. L. Hodgkin and A. F. Huxley, "The dual effect of membrane potential on sodium conductance in the giant axon of Loligo," The Journal of Physiology, vol. 116, no. 4, pp. 497-506, 1952.
17. -, "A quantitative description of membrane current and its application to conduction and excitation in nerve," The Journal of Physiology, vol. 117, no. 4, pp. 500-544, 1952.
18. A. Destexhe, Z. F. Mainen, and T. J. Sejnowski, "Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism," Journal of Computational Neuroscience, vol. 1, no. 3, p. 195, 230 1994.
19. M. R. DeLong and T. Wichmann, "Circuits and Circuit Disorders of the Basal Ganglia," Arch Neurol, vol. 64, no. 1, pp. 20-24, 2007.
20. W. Truccolo, L. R. Hochberg, and J. P. Donoghue, "Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes," Nature Neuroscience, vol. 13, no. 1, pp. 105-111, 2009.
21. W. Truccolo, U. T. Eden, M. R. Fellows, J. P. Donoghue, and E. N. Brown, "A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects," J Neurophysiol, vol. 93, no. 2, pp. 1074-1089, 2005.
22. I. W. Hunter and M. J. Korenberg, "The identification of nonlinear biological systems: Wiener and hammerstein cascade models," Biological Cybernetics, vol. 55, no. 2, pp. 135-144, 1986.
23. P. Dayan and L. F. Abbott, Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. The MIT Press, 2001.
24. H. R. Wilson and J. D. Cowan, "A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue," Biological Cybernetics, vol. 13, no. 2, pp. 55-80, 1973.
25. J. J. Hopfield, "Neurons with graded response have collective computational properties like those of two-state neurons," Proceedings of the National Academy of Sciences of the United States of America, vol. 81, no. 10, pp. 3088-3092, 1984.
26. C. Clopath, L. Busing, E. Vasilaki, and W. Gerstner, "Connectivity reflects coding: a model of voltage-based stdp with homeostasis," Nat Neurosci, vol. 13, no. 3, pp. 344-352, 2010.
27. R. J. Prill, P. A. Iglesias, and A. Levchenko, "Dynamic properties of network motifs contribute to biological network organization," PLoS Biol, vol. 3, no. 11, p. e343, 10 2005.
28. M. van de Wal1 and B. de Jager, "A review of methods for input/output selection," Automatica, vol. 37, pp. 487-510, 2001.
29. S. Skogestad and I. Postlethwaite, Multivariable Feedback Control: Analysis and Design, 2nd ed. John Wiley & Sons, Ltd, 2005.
30. S. Eldawlatly, Y. Zhou, R. Jin, and K. G. Oweiss, "On the use of dynamic bayesian networks in reconstructing functional neuronal networks from spike train ensembles," Neural Computation, vol. 22, no. 1, pp. 158-189, 2010.
31. H. Khalil, Nonlinear Systems, 3rd ed. Upper Saddle River: NJ: Prentice-Hall, 2002.
32. M. H. Histed, V. Bonin, and R. C. Reid, "Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation," Neuron, vol. 63, no. 4, pp. 508-522, 2009.
33. P. Bonifazi, M. Goldin, M. A. Picardo, I. Jorquera, A. Cattani, G. Bianconi, A. Represa, Y. Ben-Ari, and R. Cossart, "GABAergic Hub Neurons Orchestrate Synchrony in Developing Hippocampal Networks," Science, vol. 326, no. 5958, pp. 1419-1424, 2009.