Input separability in living liquid state machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6593 LNCS, Issue PART 1, 2011, Pages 220-229

  Ortman, Robert L ^a,b   Venayagamoorthy, Kumar ^c   Potter, Steve M ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

Author keywords

cultured neuronal network; liquid state machine; microelectrode array; Separation property; support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CULTURED NEURONAL NETWORKS; LIQUID STATE MACHINES; LIVING NEURONAL NETWORKS; MICROELECTRODE ARRAY; SEPARABLE INPUTS; SEPARATION PROPERTY; SPATIOTEMPORAL PATTERNS; TRANSFER INFORMATION;

ALGORITHMS; CONTOUR FOLLOWERS; HYBRID SYSTEMS; LIQUIDS; MICROELECTRODES; RATING; SIGNAL ENCODING; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 79955092027     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20282-7_23     Document Type: Conference Paper

References (18)

1. Taketani, M., Baudry, M.: Advances in Network Electrophysiology Using Multi-Electrode Arrays. Springer, Heidelberg (2006)
2. Bakkum, D.J., Chao, Z.C., Potter, S.M.: Spatio-Temporal Electrical Stimuli Shape Behavior of an Embodied Cortical Network in a Goal-Directed Learning Task. J. Neur. Eng., 310-323 (2008)
3. Park, J., Harley, R., Venayagamoorthy, G.: Adaptive Critic Based Optimal Neurocontrol for Synchronous Generator in Power System Using MLP/RBF Neural Networks. IEEE Trans. on Industry Applications 39(5) (2003)
4. Potter, S.M., Wagenaar, D.A., DeMarse, T.B.: Closing the Loop: Stimulation Feedback Systems for Embodied MEA Cultures (2001)
5. Wagenaar, D.A.: Persistent Dynamic Attractors in Activity Patterns of Cultured Neuronal Networks. Phys. Rev. E. 73(5) (2006)
6. Potter, S.M., DeMarse, T.B.: A New Approach to Neural Cell Culture for Long-Term Studies. J. Neurosci. Methods 110, 17-24 (2001)
7. Rolston, J.: Creating NeuroRighter (2009), http://groups.google.com/ group/neurorighter-users
8. Rolston, J.D., Gross, R.E., Potter, S.M.: A Low-Cost Multielectrode System for Data Acquisition Enabling Real-Time Closed-Loop Processing with Rapid Recovery from Stimulation Artifacts. Frontiers in Neuroengineering 2(12), 1-17 (2009)
9. Maass, W., Natschlaeger, T., Markram, H.: A model for real-time computation in Generic Neural Microcircuits. Adv. Neural Info. Proc. Sys. 15, 229-236 (2003)
10. Wagenaar, D.A., Madhavan, R., Potter, S.M.: Controlling Bursting in Cortical Cultures with Multi-Electrode Stimulation. J. Neurosci. 25(3), 680-688 (2005)
11. Hafizovic, S., Heer, F., et al.: A CMOS-Based Microelectrode Array for Interaction with Neuronal Cultures. J. Neurosci. Methods, 93-106 (2007)
12. Dockendorf, K.P., Park, I.: Liquid State Machines and Cultured Cortical Networks: The Separation Property. Biosystems 95, 90-97 (2009)
13. Wagenaar, D.A., Potter, S.M.: Real-Time Multi-Channel Stimulus Artifact Suppression by Local Curve Fitting. J. Neurosci. Methods 120, 113-120 (2002)
14. QuianQuiroga, R., Nadasdy, Z., Ben-Shaul, Y.: Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering. Neural Comput. 16, 1661-1687 (2004)
15. Chang, C.-C., Lin, C.-J.: LIBSVM: A Library for Support Vector Machines (2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm (September 2010) release
16. Geisser, S.: Predictive Inference, New York (1993)
17. Mosteller, F.: A k-sample SlippageTest for an Extreme Population. Annals of Mathematical Statistics 19(1), 58-65 (1948)
18. Fraser, A.S.: Simulation of Genetic Systems by Automatic Digital Computers. Australian Journal of Bio. Sci. 10, 484-491 (1957)