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Frank C Hoppensteadt

Showing results (1-10 of 9) with videos related to

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Nanotechnology|January 25, 2011
Spin-wave interference patterns created by spin-torque nano-oscillators for memory and computationFerran Macià, Andrew D Kent, Frank C Hoppensteadt
Physical Review Letters|April 20, 2004
Capacity of oscillatory associative-memory networks with error-free retrievalTakashi Nishikawa, Ying-Cheng Lai, Frank C Hoppensteadt
Mathematical Biosciences and Engineering : MBE|April 8, 2010
Characterization of neural interaction during learning and adaptation from spike-train dataLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Neural Computation|September 27, 2003
Probing changes in neural interaction during adaptationLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Chaos (Woodbury, N.Y.)|July 11, 2006
Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approachLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 22, 2002
Smallest small-world networkTakashi Nishikawa, Adilson E Motter, Ying-Cheng Lai, et al.
Physical Review Letters|August 9, 2003
Heterogeneity in oscillator networks: are smaller worlds easier to synchronize?Takashi Nishikawa, Adilson E Motter, Ying-Cheng Lai, et al.
Chaos (Woodbury, N.Y.)|April 5, 2003
Numerical and experimental investigation of the effect of filtering on chaotic symbolic dynamicsLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Trends in Neurosciences|February 20, 2003
Bursts as a unit of neural information: selective communication via resonanceEugene M Izhikevich, Niraj S Desai, Elisabeth C Walcott, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Nanotechnology|January 25, 2011
Spin-wave interference patterns created by spin-torque nano-oscillators for memory and computationFerran Macià, Andrew D Kent, Frank C Hoppensteadt
Physical Review Letters|April 20, 2004
Capacity of oscillatory associative-memory networks with error-free retrievalTakashi Nishikawa, Ying-Cheng Lai, Frank C Hoppensteadt
Mathematical Biosciences and Engineering : MBE|April 8, 2010
Characterization of neural interaction during learning and adaptation from spike-train dataLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Neural Computation|September 27, 2003
Probing changes in neural interaction during adaptationLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Chaos (Woodbury, N.Y.)|July 11, 2006
Cooperation of spike timing-dependent and heterosynaptic plasticities in neural networks: a Fokker-Planck approachLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|November 22, 2002
Smallest small-world networkTakashi Nishikawa, Adilson E Motter, Ying-Cheng Lai, et al.
Physical Review Letters|August 9, 2003
Heterogeneity in oscillator networks: are smaller worlds easier to synchronize?Takashi Nishikawa, Adilson E Motter, Ying-Cheng Lai, et al.
Chaos (Woodbury, N.Y.)|April 5, 2003
Numerical and experimental investigation of the effect of filtering on chaotic symbolic dynamicsLiqiang Zhu, Ying-Cheng Lai, Frank C Hoppensteadt, et al.
Trends in Neurosciences|February 20, 2003
Bursts as a unit of neural information: selective communication via resonanceEugene M Izhikevich, Niraj S Desai, Elisabeth C Walcott, et al.
Pageof 1