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Journal articles on the topic 'Interface neuronale'

Author: Grafiati

Published: 26 October 2024

Last updated: 31 July 2025

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1

Goto, Toichiro, Nahoko Kasai, Rick Lu, Roxana Filip, and Koji Sumitomo. "Scanning Electron Microscopy Observation of Interface Between Single Neurons and Conductive Surfaces." Journal of Nanoscience and Nanotechnology 16, no. 4 (2016): 3383–87. http://dx.doi.org/10.1166/jnn.2016.12311.

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Interfaces between single neurons and conductive substrates were investigated using focused ion beam (FIB) milling and subsequent scanning electron microscopy (SEM) observation. The interfaces play an important role in controlling neuronal growth when we fabricate neuron-nanostructure integrated devices. Cross sectional images of cultivated neurons obtained with an FIB/SEM dual system show the clear affinity of the neurons for the substrates. Very few neurons attached themselves to indium tin oxide (ITO) and this repulsion yielded a wide interspace at the neuron-ITO interface. A neuron-gold in

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Wang, Xinyuan. "Intracortical Brain-machine Interface for Restoring Sensory Motor Function: Progress and Challenges." International Journal of Biology and Life Sciences 3, no. 2 (2023): 31–38. http://dx.doi.org/10.54097/ijbls.v3i2.10514.

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Limb loss or paralysis due to spinal cord injury has a devastating impact on quality of life. One way to restore the sensory and motor abilities lost by amputees and quadriplegics is to provide them with implants that interface directly with the central nervous system. Such Brain-machine interfaces could enable patients to exert active control over the electrical contractions of prosthetic limbs or paralysed muscles. The parallel interface can transmit sensory information about these motor outcomes back to the patient. Recent developments in algorithms for decoding motor intention from neurona

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Cho, Wonkyung, Min-Ah Oh, Sun-heui Yoon, Chang Il Shin, Minji Jung, and Taek Dong Chung. "(Keynote) Biologically Targeted Janus Synapse between Ultramicroelectrode and Primary Neuron." ECS Meeting Abstracts MA2024-02, no. 54 (2024): 3677. https://doi.org/10.1149/ma2024-02543677mtgabs.

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Seamless neural interfaces conjoining neurons and electrochemical devices hold great potential for highly efficient signal transmission across neuronal systems and the external world. Signal transmission through chemical sensing and stimulation via electrochemistry is remarkable because communication occurs through the same chemical language of neurons. One promising approach is a synaptogenesis-involving method, which offers an opportunity for synaptic signaling between these systems. Janus synapses, one type of synaptic interface utilizing synaptic cell adhesion molecules for biotic-abiotic

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Bernardin, Evans, Christopher L. Frewin, Abhishek Dey, et al. "Development of an all-SiC neuronal interface device." MRS Advances 1, no. 55 (2016): 3679–84. http://dx.doi.org/10.1557/adv.2016.360.

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ABSTRACTThe intracortical neural interface (INI) is a key component of brain machine interfaces (BMI) which offer the possibility to restore functions lost by patients due to severe trauma to the central or peripheral nervous system. Unfortunately today’s neural electrodes suffer from a variety of design flaws, mainly the use of non-biocompatible materials based on Si or W with polymer coatings to mask the underlying material. Silicon carbide (SiC) is a semiconductor that has been proven to be highly biocompatible, and this chemically inert, physically robust material system may provide the lo

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Sahni, Deshdeepak, Andrew Jea, Javier A. Mata, et al. "Biocompatibility of pristine graphene for neuronal interface." Journal of Neurosurgery: Pediatrics 11, no. 5 (2013): 575–83. http://dx.doi.org/10.3171/2013.1.peds12374.

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Object Graphene possesses unique electrical, physical, and chemical properties that may offer significant potential as a bioscaffold for neuronal regeneration after spinal cord injury. The purpose of this investigation was to establish the in vitro biocompatibility of pristine graphene for interface with primary rat cortical neurons. Methods Graphene films were prepared by chemical vapor deposition on a copper foil catalytic substrate and subsequent apposition on bare Permanox plastic polymer dishes. Rat neuronal cell culture was grown on graphene-coated surfaces, and cell growth and attachmen

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Cao, Jiong, Jenni I. Viholainen, Caroline Dart, Helen K. Warwick, Mark L. Leyland, and Michael J. Courtney. "The PSD95–nNOS interface." Journal of Cell Biology 168, no. 1 (2005): 117–26. http://dx.doi.org/10.1083/jcb.200407024.

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The stress-activated protein kinase p38 and nitric oxide (NO) are proposed downstream effectors of excitotoxic cell death. Although the postsynaptic density protein PSD95 can recruit the calcium-dependent neuronal NO synthase (nNOS) to the mouth of the calcium-permeable NMDA receptor, and depletion of PSD95 inhibits excitotoxicity, the possibility that selective uncoupling of nNOS from PSD95 might be neuroprotective is unexplored. The relationship between excitotoxic stress–generated NO and activation of p38, and the significance of the PSD95–nNOS interaction to p38 activation also remain uncl

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Macías Macías, José Manuel, Juan Alberto Ramírez Quintana, José Salvador Antonio Méndez Aguirre, Mario Ignacio Chacón Murguía, and Alma Delia Corral Sáenz. "Procesamiento embebido de p300 basado en red neuronal convolucional para interfaz cerebro-computadora ubicua." RECIBE, Revista ELECTRÓNICA DE COMPUTACIÓN, INFORMÁTICA, BIOMÉDICA Y ELECTRÓNICA 9, no. 2 (2021): B1—B24. http://dx.doi.org/10.32870/recibe.v9i2.153.

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Se propone un método de bajo costo computacional para detectar el potencial evocado P300 en aplicaciones ubicuas de comunicación y control, el cual se denomina Procesamiento Embebido P300 (EP-300). La entrada de EP-300 es una señal electroencefalografía (EEG) de un canal y la arquitectura de este método se basa en los algoritmos que utilizan redes neuronales convolucionales. Para implementar el método EP-300, también se presenta una interfaz cerebro-computadora embebida que utiliza cuatro estímulos para evocar el P300 y tiene conectividad con una red de Internet de las cosas. Con esta interfaz

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Liang, Elaine, Jiuyun Shi, and Bozhi Tian. "Freestanding nanomaterials for subcellular neuronal interfaces." iScience 25, no. 1 (2022): 103534. http://dx.doi.org/10.1016/j.isci.2021.103534.

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9

Keskinbora, Kadircan H., and Kader Keskinbora. "Ethical considerations on novel neuronal interfaces." Neurological Sciences 39, no. 4 (2017): 607–13. http://dx.doi.org/10.1007/s10072-017-3209-x.

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Pronker, Matti F., Roderick P. Tas, Hedwich C. Vlieg, and Bert J. C. Janssen. "Nogo Receptor crystal structures with a native disulfide pattern suggest a novel mode of self-interaction." Acta Crystallographica Section D Structural Biology 73, no. 11 (2017): 860–76. http://dx.doi.org/10.1107/s2059798317013791.

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The Nogo Receptor (NgR) is a glycophosphatidylinositol-anchored cell-surface protein and is a receptor for three myelin-associated inhibitors of regeneration: myelin-associated glycoprotein, Nogo66 and oligodendrocyte myelin glycoprotein. In combination with different co-receptors, NgR mediates signalling that reduces neuronal plasticity. The available structures of the NgR ligand-binding leucine-rich repeat (LRR) domain have an artificial disulfide pattern owing to truncated C-terminal construct boundaries. NgR has previously been shown to self-associateviaits LRR domain, but the structural b

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Milekovic, Tomislav, Anish A. Sarma, Daniel Bacher, et al. "Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals." Journal of Neurophysiology 120, no. 1 (2018): 343–60. http://dx.doi.org/10.1152/jn.00493.2017.

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Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that people with paralysis can use brain-computer interfaces (BCIs) based on intracortical spiking activity to efficiently type messages. However, due to neuronal signal instability, most intracortical BCIs have required frequent calibration and continuous assistance of skilled engineers to maintain performance. Here, an individual with locked-in syndrome due to brain stem stroke and an individual with tetraplegia secondary to amyotrophic late

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12

Omidi, Saeed, and Yevgeny Berdichevsky. "Pathway-like Activation of 3D Neuronal Constructs with an Optical Interface." Biosensors 15, no. 3 (2025): 179. https://doi.org/10.3390/bios15030179.

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Three-dimensional neuronal organoids, spheroids, and tissue mimics are increasingly used to model cognitive processes in vitro. These 3D constructs are also used to model the effects of neurological and psychiatric disorders and to perform computational tasks. The brain’s complex network of neurons is activated via feedforward sensory pathways. Therefore, an interface to 3D constructs that models sensory pathway-like inputs is desirable. In this work, an optical interface for 3D neuronal constructs was developed. Dendrites and axons extended by cortical neurons within the 3D constructs were gu

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Pasupuleti, Murali Krishna. "Organoid Intelligence: Integrating Living Neuronal Networks with Silicon Systems for the Next Evolution of Artificial Intelligence." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 07 (2025): 66–81. https://doi.org/10.62311/nesx/rpj5.

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Abstract: The emergence of Organoid Intelligence (OI) marks a transformative shift in artificial intelligence by integrating living neuronal networks with silicon-based systems. This study explores a bio-digital hybrid framework that combines cerebral organoids—three-dimensional neural tissues derived from human stem cells—with neuromorphic computing architectures to emulate advanced cognitive processes such as learning, memory, and adaptive decision-making. A robust methodological pipeline was implemented involving multi-electrode array (MEA) interfaces, signal transduction layers, and predic

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SAKURAI, Yoshio. "Multi-neuronal activity-cell assembly-brain-machine interface." Japanese Journal of Physiological Psychology and Psychophysiology 24, no. 1 (2006): 57–67. http://dx.doi.org/10.5674/jjppp1983.24.57.

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15

Maksimenko, V. A., A. A. Harchenko, and A. Lüttjohann. "Automated System for Epileptic Seizures Prediction based on Multi-Channel Recordings of Electrical Brain Activity." Information and Control Systems, no. 4 (September 23, 2018): 115–22. http://dx.doi.org/10.31799/1684-8853-2018-4-115-122.

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Introduction: Now the great interest in studying the brain activity based on detection of oscillatory patterns on the recorded data of electrical neuronal activity (electroencephalograms) is associated with the possibility of developing brain-computer interfaces. Braincomputer interfaces are based on the real-time detection of characteristic patterns on electroencephalograms and their transformation into commands for controlling external devices. One of the important areas of the brain-computer interfaces application is the control of the pathological activity of the brain. This is in demand f

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Fadeeva, Elena, Andrea Deiwick, Boris Chichkov, and Sabrina Schlie-Wolter. "Impact of laser-structured biomaterial interfaces on guided cell responses." Interface Focus 4, no. 1 (2014): 20130048. http://dx.doi.org/10.1098/rsfs.2013.0048.

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To achieve a perfect integration of biomaterials into the body, tissue formation in contact with the interface has to be controlled. In this connection, a selective cell control is required: fibrotic encapsulation has to be inhibited, while tissue guidance has to be stimulated. As conventional biomaterials do not fulfil this specification, functionalization of the biointerface is under development to mimic the natural environment of the cells. One approach focuses on the fabrication of defined surface topographies. Thereby, ultrashort pulse laser ablation is very beneficial, owing to a large v

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17

Vanshi, Sharma. "Brain Computer Interface." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 464–73. https://doi.org/10.35940/ijeat.F1609.089620.

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Computer Technology is advancing day by day and with that it has led to the idea of Brain Computer interaction. Modern computers are advancing parallelly to our understanding of the human brain. This paper basically deals with the technology of BCI (Brain Computer Interface) that can capture brain signals and translate these signals into commands that will allow humans to control devices just by thinking. These devices can be robots, computers or virtual reality environment. The basis of BCI is a pathway connecting the brain and an external device. The aim is to assist, augment or repair human

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18

Patolsky, Fernando, Brian P. Timko, Gengfeng Zheng, and Charles M. Lieber. "Nanowire-Based Nanoelectronic Devices in the Life Sciences." MRS Bulletin 32, no. 2 (2007): 142–49. http://dx.doi.org/10.1557/mrs2007.47.

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AbstractThe interface between nanosystems and biosystems is emerging as one of the broadest and most dynamic areas of science and technology, bringing together biology, chemistry, physics, biotechnology, medicine, and many areas of engineering. The combination of these diverse areas of research promises to yield revolutionary advances in healthcare, medicine, and the life sciences through the creation of new and powerful tools that enable direct, sensitive, and rapid analysis of biological and chemical species. Devices based on nanowires have emerged as one of the most powerful and general pla

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19

Hinterberger, Thilo, Ralf Veit, Barbara Wilhelm, Nikolaus Weiskopf, Jean-Jacques Vatine, and Niels Birbaumer. "Neuronal mechanisms underlying control of a brain-computer interface." European Journal of Neuroscience 21, no. 11 (2005): 3169–81. http://dx.doi.org/10.1111/j.1460-9568.2005.04092.x.

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20

Fisher, Robert S. "12. Neuronal damage and epilepsy: basic and clinical interface." Epilepsy Research 10, no. 1 (1991): 80–89. http://dx.doi.org/10.1016/0920-1211(91)90098-z.

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21

Seyock, Silke, Vanessa Maybeck, Emmanuel Scorsone, et al. "Interfacing neurons on carbon nanotubes covered with diamond." RSC Advances 7, no. 1 (2017): 153–60. http://dx.doi.org/10.1039/c6ra20207a.

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22

Tamura, H., T. Kawashima, S. Suzuki, I. Fujita, and H. Kaneko. "Efficient Signal Processing of Multineuronal Activities for Neural Interface and Prosthesis." Methods of Information in Medicine 46, no. 02 (2007): 147–50. http://dx.doi.org/10.1055/s-0038-1625396.

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Summary Objectives : Multineuronal spike trains must be efficiently decoded in order to utilize them for controlling artificial limbs and organs. Here we evaluated the efficiency of pooling (averaging) and combining (vectorizing) activities of multiple neurons for decoding neuronal information. Methods : Multineuronal activities in the monkey inferior temporal (IT) cortex were obtained by classifying spikes of constituent neurons from multichannel data recorded with a multisite microelectrode. We compared pooling and combining procedures for the amount of visual information transferred by neur

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Giuffrè, Mauro, Rita Moretti, Giuseppina Campisciano, et al. "You Talking to Me? Says the Enteric Nervous System (ENS) to the Microbe. How Intestinal Microbes Interact with the ENS." Journal of Clinical Medicine 9, no. 11 (2020): 3705. http://dx.doi.org/10.3390/jcm9113705.

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Mammalian organisms form intimate interfaces with commensal and pathogenic gut microorganisms. Increasing evidence suggests a close interaction between gut microorganisms and the enteric nervous system (ENS), as the first interface to the central nervous system. Each microorganism can exert a different effect on the ENS, including phenotypical neuronal changes or the induction of chemical transmitters that interact with ENS neurons. Some pathogenic bacteria take advantage of the ENS to create a more suitable environment for their growth or to promote the effects of their toxins. In addition, s

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Dillon, Aiden P., Saba Moslehi, Bret Brouse, et al. "Evolution of Retinal Neuron Fractality When Interfacing with Carbon Nanotube Electrodes." Bioengineering 11, no. 8 (2024): 823. http://dx.doi.org/10.3390/bioengineering11080823.

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Exploring how neurons in the mammalian body interact with the artificial interface of implants can be used to learn about fundamental cell behavior and to refine medical applications. For fundamental and applied research, it is crucial to determine the conditions that encourage neurons to maintain their natural behavior during interactions with non-natural interfaces. Our previous investigations quantified the deterioration of neuronal connectivity when their dendrites deviate from their natural fractal geometry. Fractal resonance proposes that neurons will exhibit enhanced connectivity if an

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Taskin, Mehmet Berat, Ruodan Xu, Huiling Zhao, et al. "Poly(norepinephrine) as a functional bio-interface for neuronal differentiation on electrospun fibers." Physical Chemistry Chemical Physics 17, no. 14 (2015): 9446–53. http://dx.doi.org/10.1039/c5cp00413f.

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Tay, Andy, Felix E. Schweizer, and Dino Di Carlo. "Micro- and nano-technologies to probe the mechano-biology of the brain." Lab on a Chip 16, no. 11 (2016): 1962–77. http://dx.doi.org/10.1039/c6lc00349d.

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Wu, Xiaosa, David J. Craik та Quentin Kaas. "Interactions of Globular and Ribbon [γ4E]GID with α4β2 Neuronal Nicotinic Acetylcholine Receptor". Marine Drugs 19, № 9 (2021): 482. http://dx.doi.org/10.3390/md19090482.

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The α4β2 nAChR is implicated in a range of diseases and disorders including nicotine addiction, epilepsy and Parkinson’s and Alzheimer’s diseases. Designing α4β2 nAChR selective inhibitors could help define the role of the α4β2 nAChR in such disease states. In this study, we aimed to modify globular and ribbon α-conotoxin GID to selectively target the α4β2 nAChR through competitive inhibition of the α4(+)β2(−) or α4(+)α4(−) interfaces. The binding modes of the globular α-conotoxin [γ4E]GID with rat α3β2, α4β2 and α7 nAChRs were deduced using computational methods and were validated using publi

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Cortés-Llanos, Belén, Rossana Rauti, Ángel Ayuso-Sacido, Lucas Pérez, and Laura Ballerini. "Impact of Magnetite Nanowires on In Vitro Hippocampal Neural Networks." Biomolecules 13, no. 5 (2023): 783. http://dx.doi.org/10.3390/biom13050783.

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Nanomaterials design, synthesis, and characterization are ever-expanding approaches toward developing biodevices or neural interfaces to treat neurological diseases. The ability of nanomaterials features to tune neuronal networks’ morphology or functionality is still under study. In this work, we unveil how interfacing mammalian brain cultured neurons and iron oxide nanowires’ (NWs) orientation affect neuronal and glial densities and network activity. Iron oxide NWs were synthesized by electrodeposition, fixing the diameter to 100 nm and the length to 1 µm. Scanning electron microscopy, Raman,

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Ochoa, Vanessa, Annalee J. Loeffler, and Christie D. Fowler. "Emerging Role of the Cerebrospinal Fluid – Neuronal Interface in Neuropathology." Neuro - Open Journal 2, no. 2 (2015): 92–98. http://dx.doi.org/10.17140/noj-2-118.

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Barnes, Peter J. "Neuroeffector mechanisms: The interface between inflammation and neuronal responses☆☆☆★." Journal of Allergy and Clinical Immunology 98, no. 5 (1996): S73—S83. http://dx.doi.org/10.1016/s0091-6749(96)70020-9.

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31

Lin, Yue-Xian, Shu-Han Li, and Wei-Chen Huang. "Fabrication of Soft Tissue Scaffold-Mimicked Microelectrode Arrays Using Enzyme-Mediated Transfer Printing." Micromachines 12, no. 9 (2021): 1057. http://dx.doi.org/10.3390/mi12091057.

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Hydrogels are the ideal materials in the development of implanted bioactive neural interfaces because of the nerve tissue-mimicked physical and biological properties that can enhance neural interfacing compatibility. However, the integration of hydrogels and rigid/dehydrated electronic microstructure is challenging due to the non-reliable interfacial bonding, whereas hydrogels are not compatible with most conditions required for the micromachined fabrication process. Herein, we propose a new enzyme-mediated transfer printing process to design an adhesive biological hydrogel neural interface. T

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Deriabin, Konstantin V., Sergey O. Kirichenko, Alexander V. Lopachev, Yuriy Sysoev, Pavel E. Musienko, and Regina M. Islamova. "Ferrocenyl-containing silicone nanocomposites as materials for neuronal interfaces." Composites Part B: Engineering 236 (May 2022): 109838. http://dx.doi.org/10.1016/j.compositesb.2022.109838.

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33

Wolfrum, Bernhard, Yulia Mourzina, Frank Sommerhage, and Andreas Offenhäusser. "Suspended Nanoporous Membranes as Interfaces for Neuronal Biohybrid Systems." Nano Letters 6, no. 3 (2006): 453–57. http://dx.doi.org/10.1021/nl052370x.

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34

Coyle, Damien, Jose Principe, Fabien Lotte, and Anton Nijholt. "Guest Editorial: Brain/neuronal - Computer game interfaces and interaction." IEEE Transactions on Computational Intelligence and AI in Games 5, no. 2 (2013): 77–81. http://dx.doi.org/10.1109/tciaig.2013.2264736.

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Münzberg, Heike, Elizabeth Floyd, and Ji Suk Chang. "Sympathetic Innervation of White Adipose Tissue: to Beige or Not to Beige?" Physiology 36, no. 4 (2021): 246–55. http://dx.doi.org/10.1152/physiol.00038.2020.

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Obesity research progresses in understanding neuronal circuits and adipocyte biology to regulate metabolism. However, the interface of neuro-adipocyte interaction is less studied. We summarize the current knowledge of adipose tissue innervation and interaction with adipocytes and emphasize adipocyte transitions from white to brown adipocytes and vice versa. We further highlight emerging concepts for the differential neuronal regulation of brown/beige versus white adipocyte and the interdependence of both for metabolic regulation.

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Vomero, Maria, Elisa Castagnola, Emma Maggiolini, et al. "A Direct Comparison of Glassy Carbon and PEDOT-PSS Electrodes for High Charge Injection and Low Impedance Neural Interfaces." Advances in Science and Technology 102 (October 2016): 68–76. http://dx.doi.org/10.4028/www.scientific.net/ast.102.68.

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For neural applications, materials able to interface with the brain without harming it while recording high-fidelity signals over long-term implants are still sought after. Glassy Carbon (GC) and Poly (3,4-ethylenedioxythiophene)-poly (styrenesulfonate) (PEDOT-PSS) have proved to be promising materials for neural interfaces as they show – compared to conventional metal electrodes - higher conductivity, better electrochemical stability, very good mechanical properties and therefore seem to be very promising for in vivo applications. We present here, for the first time, a direct comparison betwe

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Weigel, Tobias, Julian Brennecke, and Jan Hansmann. "Improvement of the Electronic—Neuronal Interface by Natural Deposition of ECM." Materials 14, no. 6 (2021): 1378. http://dx.doi.org/10.3390/ma14061378.

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The foreign body reaction to neuronal electrode implants limits potential applications as well as the therapeutic period. Developments in the basic electrode design might improve the tissue compatibility and thereby reduce the foreign body reaction. In this work, the approach of embedding 3D carbon nanofiber electrodes in extracellular matrix (ECM) synthesized by human fibroblasts for a compatible connection to neuronal cells was investigated. Porous electrode material was manufactured by solution coelectrospinning of polyacrylonitrile and polyamide as a fibrous porogen. Moreover, NaCl represe

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Abdullaeva, Oliya S., Matthias Schulz, Frank Balzer, et al. "Photoelectrical Stimulation of Neuronal Cells by an Organic Semiconductor–Electrolyte Interface." Langmuir 32, no. 33 (2016): 8533–42. http://dx.doi.org/10.1021/acs.langmuir.6b02085.

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Vermaas, M., M. C. Piastra, T. F. Oostendorp, N. F. Ramsey, and P. H. E. Tiesinga. "FEMfuns: A Volume Conduction Modeling Pipeline that Includes Resistive, Capacitive or Dispersive Tissue and Electrodes." Neuroinformatics 18, no. 4 (2020): 569–80. http://dx.doi.org/10.1007/s12021-020-09458-8.

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Abstract Applications such as brain computer interfaces require recordings of relevant neuronal population activity with high precision, for example, with electrocorticography (ECoG) grids. In order to achieve this, both the placement of the electrode grid on the cortex and the electrode properties, such as the electrode size and material, need to be optimized. For this purpose, it is essential to have a reliable tool that is able to simulate the extracellular potential, i.e., to solve the so-called ECoG forward problem, and to incorporate the properties of the electrodes explicitly in the mod

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Sarmiento-Ramos, José Luis. "Aplicaciones de las redes neuronales y el deep learning a la ingeniería biomédica." Revista UIS Ingenierías 19, no. 4 (2020): 1–18. http://dx.doi.org/10.18273/revuin.v19n4-2020001.

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Hoy en día, las redes neuronales artificiales y el deep learning, son dos de las herramientas más poderosas del aprendizaje de máquina, que tienen por objetivo desarrollar sistemas que aprenden automáticamente, reconocen patrones, predicen comportamientos y generalizan información a partir de conjuntos de datos. Estasdos herramientas se han convertido en un potencial campo de investigación con aplicaciones a la ingeniería, no siendo la ingeniería biomédica la excepción. En este artículo se presenta una revisión actualizada de las principales aplicaciones de las redes neuronales y el deep learn

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Kudoh, Suguru N., Chie Hosokawa, Ai Kiyohara, Takahisa Taguchi, and Isao Hayashi. "Biomodeling System - Interaction Between Living Neuronal Networks and the Outer World." Journal of Robotics and Mechatronics 19, no. 5 (2007): 592–600. http://dx.doi.org/10.20965/jrm.2007.p0592.

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Rat hippocampal neurons reorganized into complex networks in a culture dish with 64 planar microelectrodes and the electrical activity of neurons were recorded from individual sites. Multi-site recording system for extracellular action potentials was used for recording the activity of living neuronal networks and for applying input from the outer world to the network. The living neuronal network was able to distinguish among patterns of evoked action potentials based on different input, suggesting that the living neuronal network can express several pattern independently, meaning that it has f

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Gáspár, Szilveszter, Tiziana Ravasenga, Raluca-Elena Munteanu, Sorin David, Fabio Benfenati, and Elisabetta Colombo. "Electrochemically Synthesized Poly(3-hexylthiophene) Nanowires as Photosensitive Neuronal Interfaces." Materials 14, no. 16 (2021): 4761. http://dx.doi.org/10.3390/ma14164761.

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Poly(3-hexylthiophene) (P3HT) is a hole-conducting polymer that has been intensively used to develop organic optoelectronic devices (e.g., organic solar cells). Recently, P3HT films and nanoparticles have also been used to restore the photosensitivity of retinal neurons. The template-assisted electrochemical synthesis of polymer nanowires advantageously combines polymerization and polymer nanostructuring into one, relatively simple, procedure. However, obtaining P3HT nanowires through this procedure was rarely investigated. Therefore, this study aimed to investigate the template-assisted elect

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Mesiti, Fabio, and Ilangko Balasingham. "Nanomachine-to-Neuron Communication Interfaces for Neuronal Stimulation at Nanoscale." IEEE Journal on Selected Areas in Communications 31, no. 12 (2013): 695–704. http://dx.doi.org/10.1109/jsac.2013.sup2.1213002.

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Harjes, Ulrike. "The neuronal-metabolic interface." Nature Reviews Cancer, December 1, 2020. http://dx.doi.org/10.1038/s41568-020-00324-y.

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Zhang, Bingjie, Chunshan Deng, Chunzhi Cai, and Xiaojian Li. "In Vivo Neural Interfaces—From Small- to Large-Scale Recording." Frontiers in Nanotechnology 4 (June 28, 2022). http://dx.doi.org/10.3389/fnano.2022.885411.

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Brain functions arise from the coordinated activation of neuronal assemblies distributed across multiple brain regions. The electrical potential from the neuron captured by the electrode can be processed to extract brain information. A large number of densely and simultaneously recorded neuronal potential signals from neurons spanning multiple brain regions contribute to the insight of specific behaviors encoded by the neural ensembles. In this review, we focused on the neural interfaces developed for small- to large-scale recordings and discussed the developmental challenges and strategies in

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Fan, Jie, Xiaocheng Li, Peiyu Wang, et al. "A Hyperflexible Electrode Array for Long‐Term Recording and Decoding of Intraspinal Neuronal Activity." Advanced Science, October 23, 2023. http://dx.doi.org/10.1002/advs.202303377.

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AbstractNeural interfaces for stable access to the spinal cord (SC) electrical activity can benefit patients with motor dysfunctions. Invasive high‐density electrodes can directly extract signals from SC neuronal populations that can be used for the facilitation, adjustment, and reconstruction of motor actions. However, developing neural interfaces that can achieve high channel counts and long‐term intraspinal recording remains technically challenging. Here, a biocompatible SC hyperflexible electrode array (SHEA) with an ultrathin structure that minimizes mechanical mismatch between the interf

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Zargarian, Seyed Shahrooz, Chiara Rinoldi, Yasamin Ziai, et al. "Chronic Probing of Deep Brain Neuronal Activity Using Nanofibrous Smart Conducting Hydrogel‐Based Brain–Machine Interface Probes." Small Science, January 28, 2025. https://doi.org/10.1002/smsc.202400463.

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The mechanical mismatch between microelectrode of brain–machine interfaces (BMIs) and soft brain tissue during electrophysiological investigations leads to inflammation, glial scarring, and compromising performance. Herein, a nanostructured, stimuli‐responsive, conductive, and semi‐interpenetrating polymer network hydrogel‐based coated BMIs probe is introduced. The system interface is composed of a cross‐linkable poly(N‐isopropylacrylamide)‐based copolymer and regioregular poly[3‐(6‐methoxyhexyl)thiophene] fabricated via electrospinning and integrated into a neural probe. The coating's nanofib

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Campione, Paola, Claudia Latte Bovio, Giovanna Calabrese, Francesca Santoro, and Grazia Maria Lucia Messina. "P3HT‐Based Electroactive Films for In Vitro Neuronal Cell Interfacing." Advanced Materials Interfaces, February 17, 2025. https://doi.org/10.1002/admi.202400776.

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AbstractNumerous efforts have been made to address the mechanical mismatch between bioelectronic devices and tissues in the past few years. Interfaces that better mimic the properties of biological tissues can be produced with the support of organic materials, which have a unique combination of soft mechanical properties, biocompatibility, and ionic‐electronic conduction, which match the properties of living systems and allow the signal to be transduced at the biotic–abiotic interface. In this context, Poly(3‐hexylthiophene) (P3HT), a p‐type semiconducting polymer, having good biocompatibility

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Zummo, Francesca, Pietro Esposito, Huilei Hou, et al. "Bidirectional Modulation of Neuronal Cells Electrical and Mechanical Properties Through Pristine and Functionalized Graphene Substrates." Frontiers in Neuroscience 15 (January 11, 2022). http://dx.doi.org/10.3389/fnins.2021.811348.

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In recent years, the quest for surface modifications to promote neuronal cell interfacing and modulation has risen. This course is justified by the requirements of emerging technological and medical approaches attempting to effectively interact with central nervous system cells, as in the case of brain-machine interfaces or neuroprosthetic. In that regard, the remarkable cytocompatibility and ease of chemical functionalization characterizing surface-immobilized graphene-based nanomaterials (GBNs) make them increasingly appealing for these purposes. Here, we compared the (morpho)mechanical and

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Rochford, Amy E., Alejandro Carnicer-Lombarte, Malak Kawan, et al. "Functional neurological restoration of amputated peripheral nerve using biohybrid regenerative bioelectronics." Science Advances 9, no. 12 (2023). http://dx.doi.org/10.1126/sciadv.add8162.

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The development of neural interfaces with superior biocompatibility and improved tissue integration is vital for treating and restoring neurological functions in the nervous system. A critical factor is to increase the resolution for mapping neuronal inputs onto implants. For this purpose, we have developed a new category of neural interface comprising induced pluripotent stem cell (iPSC)–derived myocytes as biological targets for peripheral nerve inputs that are grafted onto a flexible electrode arrays. We show long-term survival and functional integration of a biohybrid device carrying human

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