ArticleFrontiers in neuroscience2020
Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Printed Organic Memristive Device on Rigid and Flexible Supports for Neuromorphic Applications.Biomimetics (Basel, Switzerland) · 2026Article
- In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective.Nano-micro letters · 2026Article
- Memristor Synapse-A Device-Level Critical Review.Nanomaterials (Basel, Switzerland) · 2026Review
- Resistive random access memory: introduction to device mechanism, materials and application to neuromorphic computing.Discover nano · 2023Review
- Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern.Frontiers in neuroscience · 2023Article
- Enhanced Short-Term Memory Plasticity of WOx-Based Memristors by Inserting AlOMaterials (Basel, Switzerland) · 2022Article
- Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering.Brain sciences · 2022Review
- The influence of quadratic Lévy noise on the dynamic of an SIC contagious illness model: New framework, critical comparison and an application to COVID-19 (SARS-CoV-2) case.Chaos, solitons, and fractals · 2022Article
- Memristor-Based Neuromodulation Device for Real-Time Monitoring and Adaptive Control of Neuronal Populations.ACS applied electronic materials · 2022Article
- Toward Reflective Spiking Neural Networks Exploiting Memristive Devices.Frontiers in computational neuroscience · 2022Review
- Newly regenerated axons via scaffolds promote sub-lesional reorganization and motor recovery with epidural electrical stimulation.NPJ Regenerative medicine · 2021Article
- Stochastic Memristive Interface for Neural Signal Processing.Sensors (Basel, Switzerland) · 2021Article
- Generalizing HMMs to Continuous Time for Fast Kinetics: Hidden Markov Jump Processes.Biophysical journal · 2021Article
- Bipolar and Complementary Resistive Switching Characteristics and Neuromorphic System Simulation in a Pt/ZnO/TiN Synaptic Device.Nanomaterials (Basel, Switzerland) · 2021Article
- Adaptation Strategies for Personalized Gait Neuroprosthetics.Frontiers in neurorobotics · 2021Article
- The Effect of Growth Parameters on Electrophysical and Memristive Properties of Vanadium Oxide Thin Films.Molecules (Basel, Switzerland) · 2020Article
- Improved Pulse-Controlled Conductance Adjustment in Trilayer Resistors by Suppressing Current Overshoot.Nanomaterials (Basel, Switzerland) · 2020Article
- Self-Rectifying Resistive Switching and Short-Term Memory Characteristics in Pt/HfONanomaterials (Basel, Switzerland) · 2020Article
- Synaptic Characteristics from Homogeneous Resistive Switching in Pt/AlNanomaterials (Basel, Switzerland) · 2020Article
- Emulation of Biological Synapse Characteristics from Cu/AlN/TiN Conductive Bridge Random Access Memory.Nanomaterials (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we provide a perspective concept of neurohybrid memristive chip based on the combination of living neural networks cultivated in microfluidic/microelectrode system, metal-oxide memristive devices or arrays integrated with mixed-signal CMOS layer to control the analog memristive circuits, process the decoded information, and arrange a feedback stimulation of biological culture as parts of a bidirectional neurointerface. Our main focus is on the state-of-the-art approaches for cultivation and spatial ordering of the network of dissociated hippocampal neuron cells, fabrication of a large-scale cross-bar array of memristive devices tailored using device engineering, resistive state programming, or non-linear dynamics, as well as hardware implementation of spiking neural networks (SNNs) based on the arrays of memristive devices and integrated CMOS electronics. The concept represents an example of a brain-on-chip system belonging to a more general class of memristive neurohybrid systems for a new-generation robotics, artificial intelligence, and personalized medicine, discussed in the framework of the proposed roadmap for the next decade period.
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Registered trials
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