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- articleJune 2014
On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes
Journal of Computational Neuroscience (SPJCN), Volume 36, Issue 3Pages 321–337https://doi.org/10.1007/s10827-013-0475-3Nonlinear modeling of multi-input multi-output (MIMO) neuronal systems using Principal Dynamic Modes (PDMs) provides a novel method for analyzing the functional connectivity between neuronal groups. This paper presents the PDM-based modeling methodology ...
- articleFebruary 2013
Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes
Journal of Computational Neuroscience (SPJCN), Volume 34, Issue 1Pages 73–87https://doi.org/10.1007/s10827-012-0407-7A methodology for nonlinear modeling of multi-input multi-output (MIMO) neuronal systems is presented that utilizes the concept of Principal Dynamic Modes (PDM). The efficacy of this new methodology is demonstrated in the study of the dynamic ...
- articleNovember 2009
2009 Special Issue: Nonlinear modeling of neural population dynamics for hippocampal prostheses
- Dong Song,
- Rosa H. M. Chan,
- Vasilis Z. Marmarelis,
- Robert E. Hampson,
- Sam A. Deadwyler,
- Theodore W. Berger
Neural Networks (NENE), Volume 22, Issue 9Pages 1340–1351https://doi.org/10.1016/j.neunet.2009.05.004Developing a neural prosthesis for the damaged hippocampus requires restoring the transformation of population neural activities performed by the hippocampal circuitry. To bypass a damaged region, output spike trains need to be predicted from the input ...