Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

@article{Eden2004DynamicAO,
  title={Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering},
  author={Uri T. Eden and Loren M. Frank and Riccardo Barbieri and Victor Solo and Emery N. Brown},
  journal={Neural Computation},
  year={2004},
  volume={16},
  pages={971-998}
}
Neural receptive fields are dynamic in that with experience, neurons change their spiking responses to relevant stimuli. To understand how neural systems adapt the irrepresentations of biological information, analyses of receptive field plasticity from experimental measurements are crucial. Adaptive signal processing, the well-established engineering discipline for characterizing the temporal evolution of system parameters, suggests a framework for studying the plasticity of receptive fields… 

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