Name
Abstract | ||
|---|---|---|
Effects of additive noise on a series of the periods of oscillations in unidirectionally coupled ring neural networks of ring oscillator type are studied. Kinematical models of the traveling waves of an inconsistency, i.e. the successive same signs in the states of adjacent neurons in the network, are derived. A series of the half periods in the network of N neuron is then expressed by the sum of N sequences of the N-first order autoregressive process, the process with the spectrum of exponential type and the first-order autoregressive process. Noise and the interaction of the inconsistency cause characteristic positive correlations in a series of the half periods of the oscillations. Further, an experiment on an analog circuit of the ring neural oscillator was done and it is shown that correlations in the obtained periods of the oscillations agree with the derived three expressions. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.neucom.2009.05.011 | Neurocomputing |
Keywords | Field | DocType |
exponential type,n-first order autoregressive process,ring neural network,ring oscillator type,first-order autoregressive process,n sequence,n neuron,additive noise,half period,ring neural oscillator,oscillations,autoregressive process,correlation,neural network,first order,spectrum,analog circuits,traveling wave,ring oscillator,time series,noise | Autoregressive model,Discrete mathematics,Ring oscillator,Oscillation,Traveling wave,Expression (mathematics),Pattern recognition,Mathematical analysis,Artificial intelligence,Artificial neural network,Exponential type,Mathematics | Journal |
Volume | Issue | ISSN |
72 | 16-18 | Neurocomputing |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yo Horikawa | 1 | 50 | 11.88 |
| Hiroyuki Kitajima | 2 | 49 | 9.35 |