| Year |
Citation |
Score |
| 2017 |
Hoppensteadt F. Applied physics: A new spin on nanoscale computing. Nature. 547: 407-408. PMID 28748927 DOI: 10.1038/547407A |
0.327 |
|
| 2014 |
Macià F, Hoppensteadt FC, Kent AD. Spin wave excitation patterns generated by spin torque oscillators. Nanotechnology. 25: 045303. PMID 24398756 DOI: 10.1088/0957-4484/25/4/045303 |
0.42 |
|
| 2011 |
Macià F, Kent AD, Hoppensteadt FC. Spin-wave interference patterns created by spin-torque nano-oscillators for memory and computation. Nanotechnology. 22: 095301. PMID 21258144 DOI: 10.1088/0957-4484/22/9/095301 |
0.74 |
|
| 2011 |
MacIà F, Kent AD, Hoppensteadt FC. Anisotropic spin-wave patterns generated by spin-torque nano-oscillators Journal of Applied Physics. 109. DOI: 10.1063/1.3566000 |
0.35 |
|
| 2010 |
Carrillo H, Hoppensteadt F. Unfolding an electronic integrate-and-fire circuit Biological Cybernetics. 102: 1-8. PMID 20039058 DOI: 10.1007/s00422-009-0358-x |
0.358 |
|
| 2009 |
Hoppensteadt F. Activity patterns in networks stabilized by background oscillations Biological Cybernetics. 101: 43-47. PMID 19408008 DOI: 10.1007/s00422-009-0314-9 |
0.356 |
|
| 2009 |
Izhikevich EM, Hoppensteadt FC. Polychronous wavefront computations International Journal of Bifurcation and Chaos. 19: 1733-1739. DOI: 10.1142/S0218127409023809 |
0.769 |
|
| 2006 |
Zhu L, Lai YC, Hoppensteadt FC, He J. Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approach. Chaos (Woodbury, N.Y.). 16: 023105. PMID 16822008 DOI: 10.1063/1.2189969 |
0.615 |
|
| 2006 |
Hoppensteadt F. Biologically inspired circuits: Coalition formation in aggregates International Journal of Bifurcation and Chaos. 16: 3349-3355. DOI: 10.1142/S0218127406016835 |
0.312 |
|
| 2005 |
Zhu L, Lai YC, Hoppensteadt FC, He J. Characterization of neural interaction during learning and adaptation from spike-train data. Mathematical Biosciences and Engineering : Mbe. 2: 1-23. PMID 20369909 DOI: 10.3934/Mbe.2005.2.1 |
0.634 |
|
| 2004 |
Nishikawa T, Lai YC, Hoppensteadt FC. Capacity of oscillatory associative-memory networks with error-free retrieval. Physical Review Letters. 92: 108101. PMID 15089247 DOI: 10.1103/Physrevlett.92.108101 |
0.454 |
|
| 2004 |
Izhikevich EM, Hoppensteadt F. Classification of bursting mappings International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 14: 3847-3854. DOI: 10.1142/S0218127404011739 |
0.747 |
|
| 2004 |
Hoppensteadt F. Modeling the cumulative distribution function of spikes in neural networks International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 14: 1549-1558. DOI: 10.1142/S0218127404010126 |
0.406 |
|
| 2004 |
Nishikawa T, Hoppensteadt FC, Lai YC. Oscillatory associative memory network with perfect retrieval Physica D: Nonlinear Phenomena. 197: 134-148. DOI: 10.1016/J.Physd.2004.06.011 |
0.301 |
|
| 2003 |
Zhu L, Lai YC, Hoppensteadt FC, He J. Probing changes in neural interaction during adaptation. Neural Computation. 15: 2359-77. PMID 14511525 DOI: 10.1162/089976603322362392 |
0.63 |
|
| 2003 |
Nishikawa T, Motter AE, Lai YC, Hoppensteadt FC. Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? Physical Review Letters. 91: 014101. PMID 12906539 DOI: 10.1103/Physrevlett.91.014101 |
0.527 |
|
| 2003 |
Zhu L, Lai YC, Hoppensteadt FC, Bollt EM. Numerical and experimental investigation of the effect of filtering on chaotic symbolic dynamics. Chaos (Woodbury, N.Y.). 13: 410-9. PMID 12675447 DOI: 10.1063/1.1520090 |
0.584 |
|
| 2003 |
Izhikevich EM, Desai NS, Walcott EC, Hoppensteadt FC. Bursts as a unit of neural information: selective communication via resonance. Trends in Neurosciences. 26: 161-7. PMID 12591219 DOI: 10.1016/S0166-2236(03)00034-1 |
0.753 |
|
| 2003 |
Nishikawa T, Hoppensteadt FC. System of phase oscillators with diagonalizable interaction Siam Journal On Applied Mathematics. 63: 1615-1626. DOI: 10.1137/S0036139902411132 |
0.337 |
|
| 2003 |
Izhikevich EM, Hoppensteadt FC. Slowly coupled oscillators: Phase dynamics and synchronization Siam Journal On Applied Mathematics. 63: 1935-1953. DOI: 10.1137/S0036139902400945 |
0.782 |
|
| 2002 |
Nishikawa T, Motter AE, Lai YC, Hoppensteadt FC. Smallest small-world network. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 66: 046139. PMID 12443291 DOI: 10.1103/Physreve.66.046139 |
0.49 |
|
| 2001 |
Liu Z, Lai YC, Hoppensteadt FC. Phase clustering and transition to phase synchronization in a large number of coupled nonlinear oscillators. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 63: 055201. PMID 11414950 DOI: 10.1103/Physreve.63.055201 |
0.478 |
|
| 2001 |
Hoppensteadt FC, Izhikevich EM. Synchronization of MEMS resonators and mechanical neurocomputing Ieee Transactions On Circuits and Systems I: Fundamental Theory and Applications. 48: 133-138. DOI: 10.1109/81.904877 |
0.778 |
|
| 2001 |
Borisyuk R, Denham M, Hoppensteadt F, Kazanovich Y, Vinogradova O. Oscillatory model of novelty detection Network: Computation in Neural Systems. 12: 1-20. DOI: 10.1088/0954-898X/12/1/301 |
0.363 |
|
| 2000 |
Hoppensteadt FC, Izhikevich EM. Pattern recognition via synchronization in phase-locked loop neural networks. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 11: 734-8. PMID 18249800 DOI: 10.1109/72.846744 |
0.777 |
|
| 2000 |
Borisyuk R, Denham M, Hoppensteadt F, Kazanovich Y, Vinogradova O. An oscillatory neural network model of sparse distributed memory and novelty detection Biosystems. 58: 265-272. PMID 11164655 DOI: 10.1016/S0303-2647(00)00131-3 |
0.383 |
|
| 2000 |
Hoppensteadt FC, Izhikevich EM. Synchronization of laser oscillators, associative memory, and optical neurocomputing Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 62: 4010-3. PMID 11088922 DOI: 10.1103/PhysRevE.62.4010 |
0.769 |
|
| 2000 |
Hoppensteadt F, Izhikevich E. Neural computations by networks of oscillators Proceedings of the International Joint Conference On Neural Networks. 4: 41-44. |
0.765 |
|
| 1999 |
Borisyuk R, Hoppensteadt F. Oscillatory models of the hippocampus: A study of spatio-temporal patterns of neural activity Biological Cybernetics. 81: 359-371. PMID 10541938 DOI: 10.1007/S004220050568 |
0.348 |
|
| 1999 |
Borisyuk R, Denham M, Denham S, Hoppensteadt F. Computational models of predictive and memory-related functions of the hippocampus. Reviews in the Neurosciences. 10: 213-32. PMID 10526888 DOI: 10.1515/Revneuro.1999.10.3-4.213 |
0.327 |
|
| 1999 |
Hoppensteadt FC, Izhikevich EM. Oscillatory neurocomputers with dynamic connectivity Physical Review Letters. 82: 2983-2986. |
0.737 |
|
| 1998 |
Hoppensteadt FC, Izhikevich EM. Thalamo-cortical interactions modeled by weakly connected oscillators: could the brain use FM radio principles? Bio Systems. 48: 85-94. PMID 9886635 DOI: 10.1016/S0303-2647(98)00053-7 |
0.766 |
|
| 1998 |
Borisyuk RM, Hoppensteadt FC. Memorizing and recalling spatial-temporal patterns in an oscillator model of the hippocampus. Bio Systems. 48: 3-10. PMID 9886626 DOI: 10.1016/S0303-2647(98)00044-6 |
0.386 |
|
| 1997 |
Hoppensteadt F, Salehi H, Skorokhod A. Discrete Time Semigroup Transformations with Random Perturbations Journal of Dynamics and Differential Equations. 9: 463-505. DOI: 10.1007/Bf02227491 |
0.628 |
|
| 1997 |
Hoppensteadt FC, Izhikevich EM. Canonical models for mathematical neuroscience Ieee International Conference On Neural Networks - Conference Proceedings. 1: 324-327. |
0.722 |
|
| 1997 |
Hoppensteadt FC, Izhikevich EM. Thalamo-cortical interactions modeled by forced weakly connected oscillatory networks Ieee International Conference On Neural Networks - Conference Proceedings. 1: 328-331. |
0.754 |
|
| 1997 |
Hoppensteadt FC, Izhikevich EM. Associative memory of weakly connected oscillators Ieee International Conference On Neural Networks - Conference Proceedings. 2: 1135-1138. |
0.739 |
|
| 1996 |
Hoppensteadt FC, Izhikevich EM. Synaptic organizations and dynamical properties of weakly connected neural oscillators. II. Learning phase information. Biological Cybernetics. 75: 129-35. PMID 8855351 DOI: 10.1007/S004220050280 |
0.769 |
|
| 1996 |
Hoppensteadt FC, Izhikevich EM. Synaptic organizations and dynamical properties of weakly connected neural oscillators. I. Analysis of a canonical model. Biological Cybernetics. 75: 117-27. PMID 8855350 DOI: 10.1007/s004220050279 |
0.792 |
|
| 1996 |
Hoppensteadt F, Salehi H, Skorokhod A. Markov chain with small random perturbations with applications to Bacterial Genetics Random Operators and Stochastic Equations. 4: 205-227. DOI: 10.1515/Rose.1996.4.3.205 |
0.627 |
|
| 1996 |
Hoppensteadt F, Salehi H, Skorokhod A. An averaging principle for dynamical systems in Hilbert space with Markov random perturbations Stochastic Processes and Their Applications. 61: 85-108. DOI: 10.1016/0304-4149(95)00066-6 |
0.639 |
|
| 1995 |
Johnson PA, Lenski RE, Hoppensteadt FC. Theoretical analysis of divergence in mean fitness between initially identical populations Proceedings of the Royal Society B: Biological Sciences. 259: 125-130. DOI: 10.1098/Rspb.1995.0019 |
0.482 |
|
| 1995 |
Hoppensteadt F, Salehi H, Skorokhod A. Randomly Perturbed Volterra Integral Equations And Some Applications Stochastics and Stochastic Reports. 54: 89-125. DOI: 10.1080/17442509508834000 |
0.635 |
|
| 1992 |
Hoppensteadt FC. Signal Processing by Model Neural Networks Siam Review. 34: 426-444. DOI: 10.1137/1034085 |
0.394 |
|
| 1978 |
Novick RP, Hoppensteadt FC. On plasmid incompatibility. Plasmid. 1: 421-34. PMID 372974 DOI: 10.1016/0147-619X(78)90001-X |
0.454 |
|
| 1978 |
Flaherty JE, Hoppensteadt FC. Frequency Entrainment of a Forced van der Pol Oscillator Studies in Applied Mathematics. 58: 5-15. DOI: 10.1002/sapm19785815 |
0.323 |
|
| 1975 |
Hoppensteadt F, Gordon N. Nonlinear stability analysis of static states which arise through bifurcation Communications On Pure and Applied Mathematics. 28: 355-373. DOI: 10.1002/Cpa.3160280304 |
0.738 |
|
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