Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model

@article{Samsonovich1997PathIA,
  title={Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model},
  author={Alexei Samsonovich and Bruce L. McNaughton},
  journal={The Journal of Neuroscience},
  year={1997},
  volume={17},
  pages={5900 - 5920}
}
A minimal synaptic architecture is proposed for how the brain might perform path integration by computing the next internal representation of self-location from the current representation and from the perceived velocity of motion. In the model, a place-cell assembly called a “chart” contains a two-dimensional attractor set called an “attractor map” that can be used to represent coordinates in any arbitrary environment, once associative binding has occurred between chart locations and sensory… 
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