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Damon A. Miller
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2010 – 2019
- 2016
- [c8]John Stahl, Damon A. Miller:
Initial comparison of energy measures for neural stimulation in a single conductance channel. EMBC 2016: 6117-6120 - 2014
- [c7]Jason Anyalebechi, Melinda Evrithiki Koelling, Damon A. Miller:
Computation of reduced energy input current stimuli for neuron phase models. EMBC 2014: 4847-4851 - 2012
- [j6]Giuseppe Grassi, Damon A. Miller:
Synchronizing chaotic systems up to an arbitrary scaling matrix via a single signal. Appl. Math. Comput. 218(10): 6118-6124 (2012) - [c6]Giuseppe Grassi, Donato Cafagna, Pietro Vecchio, Damon A. Miller:
A new scheme to synchronize chaotic discrete-time systems via a scalar signal. MWSCAS 2012: 654-657 - 2011
- [j5]M. Ellinger, Melinda Evrithiki Koelling, Damon A. Miller, Frank L. Severance, John Stahl:
Exploring optimal current stimuli that provide membrane voltage tracking in a neuron model. Biol. Cybern. 104(3): 185-195 (2011)
2000 – 2009
- 2008
- [j4]Giuseppe Grassi, Damon A. Miller:
Recovery of successively Induced Discrete-Time Chaotic oscillator Perturbations via Cascaded Nonlinear Observers. Int. J. Bifurc. Chaos 18(2): 557-566 (2008) - [j3]Giuseppe Grassi, Frank L. Severance, Emil D. Mashev, Bradley J. Bazuin, Damon A. Miller:
Generation of a Four-Wing Chaotic Attractor by Two Weakly-Coupled Lorenz Systems. Int. J. Bifurc. Chaos 18(7): 2089-2094 (2008) - 2007
- [j2]Giuseppe Grassi, Damon A. Miller:
Projective Synchronization via a Linear Observer: Application to Time-Delay, Continuous-Time and Discrete-Time Systems. Int. J. Bifurc. Chaos 17(4): 1337-1342 (2007) - 2004
- [c5]Damon A. Miller, Rodrigo Arguello, Garrison W. Greenwood:
Evolving artificial neural network structures: experimental results for biologically-inspired adaptive mutations. IEEE Congress on Evolutionary Computation 2004: 2114-2119
1990 – 1999
- 1999
- [c4]Sorin Draghici, Damon A. Miller:
A VLSI neural network classifier based on integer-valued weights. IJCNN 1999: 2419-2424 - 1998
- [j1]Damon A. Miller, Jacek M. Zurada:
A dynamical system perspective of structural learning with forgetting. IEEE Trans. Neural Networks 9(3): 508-515 (1998) - 1997
- [c3]Damon A. Miller, Jacek M. Zurada:
Dynamics of structural learning with an adaptive forgetting rate. ICNN 1997: 1827-1832 - 1996
- [c2]Damon A. Miller, Jacek M. Zurada, John H. Lilly:
Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning. ICNN 1996: 448 - [c1]Aleksander Malinowski, Damon A. Miller, Jacek M. Zurada:
Reduction of neural network models for identification and control of nonlinear systems. ICNN 1996: 2250-2254
Coauthor Index
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