A tutorial on computational cognitive neuroscience: Modeling the neurodynamics of cognition

@article{Ashby2011ATO,
  title={A tutorial on computational cognitive neuroscience: Modeling the neurodynamics of cognition},
  author={F. Ashby and S. H{\'e}lie},
  journal={Journal of Mathematical Psychology},
  year={2011},
  volume={55},
  pages={273-289}
}
  • F. Ashby, S. Hélie
  • Published 2011
  • Computer Science
  • Journal of Mathematical Psychology
  • Computational Cognitive Neuroscience (CCN) is a new field that lies at the intersection of computational neuroscience, machine learning, and neural network theory (i.e., connectionism). The ideal CCN model should not make any assumptions that are known to contradict the current neuroscience literature and at the same time provide good accounts of behavior and at least some neuroscience data (e.g., single-neuron activity, fMRI data). Furthermore, once set, the architecture of the CCN network and… CONTINUE READING
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