ArticleIEEE transactions on bio-medical engineering2018
Model-Based Analysis of Electrode Placement and Pulse Amplitude for Hippocampal Stimulation.
Article in IEEE transactions on bio-medical engineering, 2018. 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.
- Neuromorphic algorithms for brain implants: a review.Frontiers in neuroscience · 2025Review
- Toward Safety Protocols for Peripheral Nerve Stimulation (PNS): A Computational and Experimental Approach.Bioelectromagnetics · 2025Article
- Dentate gyrus granule cell activation following extracellular electrical stimulation: a multi-scale computational model to guide hippocampal neurostimulation strategies.Frontiers in computational neuroscience · 2025Article
- Article
- Adaptive octree meshes for simulation of extracellular electrophysiology.Journal of neural engineering · 2023Article
- Neuroprosthetics: from sensorimotor to cognitive disorders.Communications biology · 2023Review
- Color and cellular selectivity of retinal ganglion cell subtypes through frequency modulation of electrical stimulation.Scientific reports · 2021Article
- Novel Electrode Designs for Neurostimulation in Regenerative Medicine: Activation of Stem Cells.Bioelectricity · 2020Review
- Targeted Stimulation of Retinal Ganglion Cells in Epiretinal Prostheses: A Multiscale Computational Study.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
- Responsiveness of Retinal Ganglion Cells Through Frequency Modulation of Electrical Stimulation: A Computational Modeling StudyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents.Frontiers in computational neuroscience · 2020Article
- ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling.Frontiers in computational neuroscience · 2020Article
- Admittance Method for Estimating Local Field Potentials Generated in a Multi-Scale Neuron Model of the Hippocampus.Frontiers in computational neuroscience · 2020Article
- Axonal Anatomy Optimizes Spatial Encoding in the Rat Entorhinal-Dentate System: A Computational Study.IEEE transactions on bio-medical engineering · 2019Article
- Graph-Based Models of Cortical Axons for the Prediction of Neuronal Response to Extracellular Electrical Stimulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveThe ideal form of a neural-interfacing device is highly dependent upon the anatomy of the region with which it is meant to interface. Multiple-electrode arrays provide a system that can be adapted to various neural geometries. Computational models of stimulating systems have proven useful for evaluating electrode placement and stimulation protocols, but have yet to be adequately adapted to the unique features of the hippocampus.
methodsAs an approach to understanding potential memory restorative devices, an admittance method-NEURON model was constructed to predict the direct and synaptic response of a region of the rat dentate gyrus to electrical stimulation of the perforant path.
resultsA validation of estimated local field potentials against experimental recordings is performed and results of a bilinear electrode placement and stimulation amplitude parameter search are presented.
conclusionThe parametric analysis presented herein suggests that stimulating electrodes placed between the lateral and medial perforant path, near the crest of the dentate gyrus, yield a larger relative population response to given stimuli. SIGNIFICANCE: Beyond deepening understanding of the hippocampal tissue system, establishment of this model provides a method to evaluate candidate stimulating devices and protocols.
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Registered trials
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