• Corpus ID: 15897494

Hierarchical models for neural population dynamics in the presence of non-stationarity

@article{Park2014HierarchicalMF,
  title={Hierarchical models for neural population dynamics in the presence of non-stationarity},
  author={Mijung Park and Jakob H. Macke},
  journal={arXiv: Machine Learning},
  year={2014}
}
Neural population activity often exhibits rich variability and temporal structure. This variability is thought to arise from single-neuron stochasticity, neural dynamics on short time-scales, as well as from modulations of neural firing properties on long time-scales, often referred to as "non-stationarity". To better understand the nature of co-variability in neural circuits and their impact on cortical information processing, we need statistical models that are able to capture multiple… 

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