Noise in Attractor Networks in the Brain Produced by Graded Firing Rate Representations

@inproceedings{Webb2011NoiseIA,
  title={Noise in Attractor Networks in the Brain Produced by Graded Firing Rate Representations},
  author={Tristan James Webb and Edmund T. Rolls and Gustavo Deco and Jianfeng Feng},
  booktitle={PloS one},
  year={2011}
}
Representations in the cortex are often distributed with graded firing rates in the neuronal populations. The firing rate probability distribution of each neuron to a set of stimuli is often exponential or gamma. In processes in the brain, such as decision-making, that are influenced by the noise produced by the close to random spike timings of each neuron for a given mean rate, the noise with this graded type of representation may be larger than with the binary firing rate distribution that is… CONTINUE READING

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