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  • generate
  • We are seeking to understand the underlying neural mechanisms that generate gamma-band spectral peaks in the cerebral cortex by studying gamma activity in the local field potential (LFP) in the primary visual cortex, V1. (jneurosci.org)
  • illustrate
  • We contrast the properties of the new network model with several other neural network models to illustrate the relative capabilities of each. (frontiersin.org)
  • robust
  • However, the implications for learning turn out to be significant: learning with a feedforward architecture is robust following changes in the stimulus-desired outcome mapping but not necessarily the motor command-outcome mapping, while learning with a recurrent architecture is robust under changes in the motor command-outcome mapping but not necessarily the stimulus-desired outcome mapping. (springer.com)
  • classification
  • Major, T.C., Conrad, J.M.: The effects of pre-filtering and individualizing components for electroencephalography neural network classification. (springer.com)
  • Amin MF, Murase K (2009) Single-layered complex-valued neural network for real-valued classification problems. (springer.com)
  • paper
  • In this paper, a class of delayed complex-valued neural network with diffusion under Dirichlet boundary conditions is considered. (springer.com)
  • In this paper we propose a fuzzy recurrent neural network (FRNN) based fuzzy time series forecasting method using genetic algorithm. (springer.com)
  • properties
  • By using the properties of the Laplacian operator and separating the neural network into real and imaginary parts, the corresponding characteristic equation of neural network is obtained. (springer.com)