Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks

@inproceedings{Effenberger2015DiscoveryOS,
  title={Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks},
  author={Felix Effenberger and C. Hillar},
  booktitle={SIMBAD},
  year={2015}
}
We present here a novel method for the classical task of finding and extracting recurring spatiotemporal patterns in recorded spiking activity of neuronal populations. In contrast to previously proposed methods it does not seek to classify exactly recurring patterns, but rather approximate versions possibly differing by a certain number of missed, shifted or excess spikes. We achieve this by fitting large Hopfield networks to windowed, binned spiking activity in an unsupervised way using… Expand
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