Selected INL Publications.
- Martinez Jordan, J., V. Salvatore, B. Endicott-Popovsky,
V. Gandhi, C. O’Keefe, M.S. Sotebeer, and M. Stiber, "Graph-Based Simulation of Emergency
Services Communications Systems", 2022 Annual Modeling and
Simulation Conference, San Diego, CA, July 18–21, 2022.
- Frontoni, E., M. Paolanti, T.P. Lauriault, M. Stiber,
L. Duranti, and M. Abdul-Mageed, "Trusted Data Forever: Is AI the Answer?", Workshop Proceedings
of the EDBT/ICDT 2022 Joint Conference, Edinburgh, UK, March
29–April 1, 2022.
- Conquest, J. and M. Stiber, "Software and Data Provenance as a
Basis for eScience Workflow", 17th IEEE eScience,
September 20-23, 2021.
- Kostal, L., P. Lansky, and M. Stiber, "Statistics of inverse
interspike intervals: the instantaneous firing rate revisited",
Chaos 28, 106305, doi:10.1063/1.5036831, 2018.
- Lee, J.Y.H. and M. Stiber, "Spatiotemporal
characteristics of bursting and avalanches in cultures of cortical
neurons", Proc. International Workshop on Neuronal Coding,
Turin, Italy, September 9-14, 2018.
- Lee, J.Y.H, M. Stiber, D. Si, "Machine Learning of
Spatiotemporal Bursting Behaviors in Developing Neural Networks",
International Engineering in Medicine and Biology
Conference, Honolulu, Hawaii, July 17-21, 2018.
- Stiber, M., F. Kawasaki, D. Davis, H.U. Asuncion, J.Y.H. Chu,
and D. Boyer, "BrainGrid+Workbench: High-Performance/High-Quality
Neural Simulation," Proc. International Joint Conference on Neural
Networks, Anchorage, Alaska, May 14–19, 2017.
- Stiber, M., F. Kawasaki, M. Strange, and A. Watson, "Bringing
high performance neural simulation to the desktop with BrainGrid,"
Proc. International Workshop on Neuronal Coding, Cologne, Germany,
August 29 – September 2, 2016.
- Kawasaki, F. and M. Stiber, “A simple model of cortical culture
growth: burst property dependence on network composition and
activity”, Biological Cybernetics 108(4): 423-443,
doi:10.1007/s00422-014-0611-9, 2014 (9.5M,
PDF).
- Stiber, M., B.Z. Stiber, and E.C. Larson, Signal
Computing: Digital Signals in the Software Domain,
2014.
- Kawasaki, F. and M. Stiber, “Accelerating Large-Scale
Simulations of Cortical Neuronal Network Development”,
Technical Report UWB-CSS-12-01, March 2012 (1.2M,
PDF).
- Stiber, M., “Transient bifurcations in neural error
correction”, Biosystems 89(1-3): 24-29, May-June
2007.
- Spanias, A., V. Atti, R. Chilimula, S. Haag,
A. Papandreou-Suppappola, C. Tepedelenlioglu, J. Zhang,
F. Bodreaux-Bartels, M. Stiber, T. Kasparis, and P Loizou, “A
Collaborative Project on Java-DSP Involving Five
Universities”, ASEE Conf., Chicago, June 2006.
- Spanias, A., V. Atti, R. Chilimula, S. Haag,
A. Papandreou-Suppappola, C. Tepedelenlioglu, J. Zhang,
F. Bodreaux-Bartels, M. Stiber, T. Kasparis, and P Loizou,
“Work in Progress --- Multi-university development and
dissemination of online laboratories in probability theory, signals
and systems, and multimedia computing”, IEEE FIE,
Indianapolis, October 2005.
- Stiber, M., “Spike timing
precision and neural error correction: local behavior”,
Neural Computation 17(7): 1577-1601, 2005.
- Gómez, L., R. Budelli, R. Saa, M. Stiber, and J.P.
Segundo, “Pooled spike trains of correlated presynaptic inputs as
realizations of cluster point processes”, Biological
Cybernetics 92(2): 110-127, 2005.
- Stiber, M. and M. Pottorf, “Response space construction for neural error correction”,
IJCNN’04, Budapest, Hungary, July 2004.
- Stiber,
M. and T. Holderman, “Global behavior of neural error correction”,
IJCNN’04, Budapest, Hungary, July 2004.
- Stiber, M., “Non-information-maximizing neural coding”,
IJCNN 2003, Portland, Oregon, July 2003 (640K
PDF).
- Hrebec, D.G. and M. Stiber, “A survey of system administrator
mental models and situation awareness”, ACM SIGCPR, San
Diego, April 2001(60K gzip'ed
Postscript).
- Stiber, B.Z., E.R. Lewis, and M. Stiber, “Auditory singularity
detection by a gerbil cochlea model”, CNS*99, Pittsburgh,
July 1999 and Neurocomputing 32-33: 537-43, 2000.
- Marx, R. and M. Stiber, “Dynamical neural networks for
sensorimotor control”, International Workshop on Neuronal
Coding, Osaka, Japan, October 1999 (gzip'ed postscript, 100K).
- Eaton, S.L. and M. Stiber, “An ANN for recognizing melody
preferences”, IJCNN'99, Washington, DC, July 1999.
- Segundo, J.P., G. Sugihara, P. Dixon, M. Stiber, and L. Bersier,
“The spike trains of inhibited pacemaker neurons seen through the
magnifying glass of nonlinear analyses”, Neuroscience
87(4): 741-766, 1998.
- Segundo, J.P., J.-F. Vibert, and M. Stiber, “Periodically
modulated inhibition of pacemaker neurons. III. The heterogeneity of
the postsynaptic spike train, and how control parameters affect it”,
Neuroscience 87(1): 15-47, 1998.
- Stiber, M. and B. Lau, “Long-Term Potentiation and Synaptic
Coding of Time-Varying Inputs”, Proc. ICONIP'98, pp. 621-4,
Kitakyushu, Japan, October 1998.
- Stiber, B.Z., M. Stiber, E.R. Lewis, and K.R. Henry,
“Categorization of Gerbil Auditory Fiber Responses”,
CNS*98, Santa Barbara, California, July
1998 and Neurocomputing 26-27: 277-83,
1999(HTML
summary).
- Stiber, M., R. Ieong, and J.P. Segundo, “Responses to
transients in living and simulated neurons”, IEEE
Trans. Neural Networks 8(6): 1379-85,
1997(gzip'ed postscript,
180K).
- Stiber, M., K. Pakdaman, J.-F. Vibert, E. Boussard,
J.P. Segundo, T. Nomura, S. Sato, and S. Doi, “Complex responses of
living neurons to pacemaker inhibition: a comparison of dynamical
models”, BioSystems 40: 177-88,
1997(gzip'ed postscript,
500K).
- Stiber, M., G.A. Jacobs, and D. Swanberg, “Logos: A
Computational Framework for Neuroinformatics Research”,
Proc. Ninth
Int. Conf. Scientific and Statistical Database Management,
pp. 212-22, Olympia, Washington, August
1997(PDF, 2.5MB).
- Ieong, R. and M. Stiber, “Long-term potentiation effects on
synaptic coding”, CNS*96, Boston, July
1996(gzip'ed postscript,
220K).
- Segundo, J.P., J.-F. Vibert, M. Stiber, and S. Hanneton,
“Periodically modulated inhibition and its post-synaptic
consequences. I. General features. Influences of modulation
frequency”, Neuroscience 68(3): 657-92, 1995.
- Segundo, J.P., J.-F. Vibert, M. Stiber, and S. Hanneton,
“Periodically modulated inhibition and its post-synaptic
consequences. II. Influence of pre-synaptic slope, depth, range, noise
and of post-synaptic natural discharges”, Neuroscience
68(3): 693-719, 1995.
- Segundo, J.P., Stiber, M., and J.-F. Vibert, “Synaptic coding
of spike trains. Entrainment across synapses of one neuron by
another”, The Handbook of Brain Theory and Neural Networks,
M. Arbib, ed., MIT Press, 1995.