Robust Discovery of Temporal Structure in Multi-neuron Recordings Using Hopfield Networks

@inproceedings{Hillar2015RobustDO,
  title={Robust Discovery of Temporal Structure in Multi-neuron Recordings Using Hopfield Networks},
  author={C. Hillar and Felix Effenberger},
  booktitle={INNS Conference on Big Data},
  year={2015}
}
Abstract We present here a novel method for the classical task of extracting reoccurring spatiotemporal patterns from spiking activity of large populations of neurons. In contrast to previous studies that mainly focus on synchrony detection or exactly recurring binary patterns, we perform the search in an approximate way that clusters together nearby, noisy network states in the data. Our approach is to use minimum probability flow (MPF) parameter estimation to determinis- tically fit very… Expand
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