ArticleJournal of computational neuroscience2013
Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes.
Article in Journal of computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems.Neural computation · 2019Article
- Characterisation of ictal and interictal states of epilepsy: A system dynamic approach of principal dynamic modes analysis.PloS one · 2018Article
- Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems.IEEE transactions on neural networks and learning systems · 2017Article
- Cannabinoids disrupt memory encoding by functionally isolating hippocampal CA1 from CA3.PLoS computational biology · 2017Article
- Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2016Review
- Detection of Impaired Sympathetic Cerebrovascular Control Using Functional Biomarkers Based on Principal Dynamic Mode Analysis.Frontiers in physiology · 2016Article
- Hippocampal closed-loop modeling and implications for seizure stimulation design.Journal of neural engineering · 2015Article
- Neurons and networks organizing and sequencing memories.Brain research · 2015Article
- Principal dynamic mode analysis of the Hodgkin-Huxley equations.International journal of neural systems · 2015Article
- Model-based asessment of an in-vivo predictive relationship from CA1 to CA3 in the rodent hippocampus.Journal of computational neuroscience · 2015Article
- System identification of point-process neural systems using probability based Volterra kernels.Journal of neuroscience methods · 2015Article
- Understanding spike-triggered covariance using Wiener theory for receptive field identification.Journal of vision · 2015Article
- On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes.Journal of computational neuroscience · 2014Article
- Facilitation of memory encoding in primate hippocampus by a neuroprosthesis that promotes task-specific neural firing.Journal of neural engineering · 2013Article
- Donor/recipient enhancement of memory in rat hippocampus.Frontiers in systems neuroscience · 2013Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
A 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 interactions between neuronal ensembles in the Pre-Frontal Cortex (PFC) of a behaving non-human primate (NHP) performing a Delayed Match-to-Sample task. Recorded spike trains from Layer-2 and Layer-5 neurons were viewed as the "inputs" and "outputs", respectively, of a putative MIMO system/model that quantifies the dynamic transformation of multi-unit neuronal activity between Layer-2 and Layer-5 of the PFC. Model prediction performance was evaluated by means of computed Receiver Operating Characteristic (ROC) curves. The PDM-based approach seeks to reduce the complexity of MIMO models of neuronal ensembles in order to enable the practicable modeling of large-scale neural systems incorporating hundreds or thousands of neurons, which is emerging as a preeminent issue in the study of neural function. The "scaling-up" issue has attained critical importance as multi-electrode recordings are increasingly used to probe neural systems and advance our understanding of integrated neural function. The initial results indicate that the PDM-based modeling methodology may greatly reduce the complexity of the MIMO model without significant degradation of performance. Furthermore, the PDM-based approach offers the prospect of improved biological/physiological interpretation of the obtained MIMO models.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.