ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2018
Sparse Large-Scale Nonlinear Dynamical Modeling of Human Hippocampus for Memory Prostheses.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Integrating neural decoding, memristive materials, and adaptive control frameworks for next-generation hippocampal memory prosthetics.iScience · 2026Review
- A spatially discretized convolutional neural mass model for studying meso-scale spatio-temporal transformations in the rat hippocampus.Journal of computational neuroscience · 2026Article
- Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain-Machine Interface.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- A spatially discretized convolutional neural mass model for studying meso-scale spatio-temporal transformations in the rat hippocampus.Research square · 2026Article
- Distributed Temporal Coding of Visual Memory Categories in Human Hippocampal Neurons Revealed by an Interpretable Decoding Model.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A concise mathematical description of signal transformations across the hippocampal apical CA3 to CA1 dendritic response.Frontiers in neural circuits · 2025Article
- "In the spectrum of people who are healthy": Views of individuals at risk of dementia on using neurotechnology for cognitive enhancement.Neuroethics · 2024Article
- Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories.Frontiers in computational neuroscience · 2024Article
- ReplaceNet: real-time replacement of a biological neural circuit with a hardware-assisted spiking neural network.Frontiers in neuroscience · 2023Article
- Patterned Hippocampal Stimulation Facilitates Memory in Patients With a History of Head Impact and/or Brain Injury.Frontiers in human neuroscience · 2022Article
- Nonlinear System Identification of Neural Systems from Neurophysiological Signals.Neuroscience · 2021Review
- The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing.Frontiers in neural circuits · 2021Article
- Stimulation and Recording of the Hippocampus Using the Same Pt-Ir Coated Microelectrodes.Frontiers in neuroscience · 2021Article
- Prelimbic Cortical Stimulation Improves Spatial Memory Through Distinct Patterns of Hippocampal Gene Expression in Aged Rats.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Article
- A 512-Channel Multi-Layer Polymer-Based Neural Probe Array.Journal of microelectromechanical systems : a joint IEEE and ASME publication on microstructures, microactuators, microsensors, and microsystems · 2020Article
- Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics.Frontiers in neuroscience · 2020Article
- A Multi-Channel Asynchronous Neurostimulator With Artifact Suppression for Neural Code-Based Stimulations.Frontiers in neuroscience · 2019Article
- Application of Parylene-Based Flexible Multi-Electrode Array for Recording From Subcortical Brain Regions From Behaving Rats.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall.Journal of neural engineering · 2018Article
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Authors and funding
6 authors.
Funding
Abstract
In order to build hippocampal prostheses for restoring memory functions, we build sparse multi-input, multi-output (MIMO) nonlinear dynamical models of the human hippocampus. Spike trains are recorded from hippocampal CA3 and CA1 regions of epileptic patients performing a variety of memory-dependent delayed match-to-sample (DMS) tasks. Using CA3 and CA1 spike trains as inputs and outputs respectively, sparse generalized Laguerre-Volterra models are estimated with group lasso and local coordinate descent methods to capture the nonlinear dynamics underlying the CA3-CA1 spike train transformations. These models can accurately predict the CA1 spike trains based on the ongoing CA3 spike trains during multiple memory events, e.g., sample presentation, sample response, match presentation and match response, of the DMS task, and thus will serve as the computational basis of human hippocampal memory prostheses.
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