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1

Shimono, Masanori, and John M. Beggs. "Mesoscopic neuronal activity and neuronal network architecture." Neuroscience Research 71 (September 2011): e304. http://dx.doi.org/10.1016/j.neures.2011.07.1326.

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2

Дегтерев, А. А., and A. A. Degterev. "Simulation of Spontaneous Activity in Neuronal Cultures with Long-Term Plasticity." Mathematical Biology and Bioinformatics 10, no. 1 (2015): 234–44. http://dx.doi.org/10.17537/2015.10.234.

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Existence of spontaneous population bursts is a widely studied phenomenon observed in neuronal cultures in vitro. Recent models of neuronal cultures network activity consist of a number of burst generating mechanisms such as synaptic noise and presence of pacemaker neurons in the network. In the previous simulations of bursting in neuronal cultures synaptic weights change in accordance with the rule of short-term plasticity whereas the long-term values of them, and hence the network structure, remain unchanged. In this paper we reproduce neuronal network models with static synapses, and then i
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Fletcher, Jack McKay, and Thomas Wennekers. "From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity." International Journal of Neural Systems 28, no. 02 (2018): 1750013. http://dx.doi.org/10.1142/s0129065717500137.

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It is clear that the topological structure of a neural network somehow determines the activity of the neurons within it. In the present work, we ask to what extent it is possible to examine the structural features of a network and learn something about its activity? Specifically, we consider how the centrality (the importance of a node in a network) of a neuron correlates with its firing rate. To investigate, we apply an array of centrality measures, including In-Degree, Closeness, Betweenness, Eigenvector, Katz, PageRank, Hyperlink-Induced Topic Search (HITS) and NeuronRank to Leaky-Integrate
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Maier, N., A. Draguhn, D. Schmitz, and M. Both. "Fast network oscillations in the hippocampus." e-Neuroforum 19, no. 1 (2013): 1–10. http://dx.doi.org/10.1007/s13295-013-0038-0.

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AbstractNeuronal networks often express coherent oscillatory activity. These rhythms can pro­vide a temporal reference for the activity of single neurons and allow the formation of spatiotemporal activity patterns with a de­fined phase relationship of action potentials. In a single brain nucleus, oscillations at dif­ferent frequencies might be simultaneous­ly generated, but isolated rhythms might also be characteristic for specific functional brain states. During the last two decades the mam­malian hippocampus has become an impor­tant model system for the study of neuronal network oscillations
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van Drongelen, Wim. "Modeling Neural Activity." ISRN Biomathematics 2013 (March 7, 2013): 1–37. http://dx.doi.org/10.1155/2013/871472.

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This paper provides an overview of different types of models for studying activity of nerve cells and their networks with a special emphasis on neural oscillations. One part describes the neuronal models based on the Hodgkin and Huxley formalism first described in the 1950s. It is discussed how further simplifications of this formalism enable mathematical analysis of the process of neural excitability. The focus of the paper’s second component is on network activity. Understanding network function is one of the important frontiers remaining in neuroscience. At present, experimental techniques
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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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7

Gleichmann, Marc, and Mark P. Mattson. "Alzheimer’s Disease and Neuronal Network Activity." NeuroMolecular Medicine 12, no. 1 (2009): 44–47. http://dx.doi.org/10.1007/s12017-009-8100-3.

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8

Araque, Alfonso, and Marta Navarrete. "Glial cells in neuronal network function." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2375–81. http://dx.doi.org/10.1098/rstb.2009.0313.

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Numerous evidence demonstrates that astrocytes, a type of glial cell, are integral functional elements of the synapses, responding to neuronal activity and regulating synaptic transmission and plasticity. Consequently, they are actively involved in the processing, transfer and storage of information by the nervous system, which challenges the accepted paradigm that brain function results exclusively from neuronal network activity, and suggests that nervous system function actually arises from the activity of neuron–glia networks. Most of our knowledge of the properties and physiological conseq
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9

Ivenshitz, Miriam, and Menahem Segal. "Neuronal Density Determines Network Connectivity and Spontaneous Activity in Cultured Hippocampus." Journal of Neurophysiology 104, no. 2 (2010): 1052–60. http://dx.doi.org/10.1152/jn.00914.2009.

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The effects of neuronal density on morphological and functional attributes of the evolving networks were studied in cultured dissociated hippocampal neurons. Plating at different densities affected connectivity among the neurons, such that sparse networks exhibited stronger synaptic connections between pairs of recorded neurons. This was associated with different patterns of spontaneous network activity with enhanced burst size but reduced burst frequency in the sparse cultures. Neuronal density also affected the morphology of the dendrites and spines of these neurons, such that sparse neurons
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10

Illes, Sebastian, Martin Jakab, Felix Beyer, et al. "Intrinsically Active and Pacemaker Neurons in Pluripotent Stem Cell-Derived Neuronal Populations." Stem Cell Reports 2, no. 3 (2014): 323–36. https://doi.org/10.1016/j.stemcr.2014.01.006.

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Neurons generated from pluripotent stem cells (PSCs) self-organize into functional neuronal assemblies in vitro, generating synchronous network activities. Intriguingly, PSC-derived neuronal assemblies develop spontaneous activities that are independent of external stimulation, suggesting the presence of thus far undetected intrinsically active neurons (IANs). Here, by using mouse embryonic stem cells, we provide evidence for the existence of IANs in PSC-neuronal networks based on extracellular multielectrode array and intracellular patch-clamp recordings. IANs remain activ
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11

Pannasch, Ulrike, Mickael Derangeon, Oana Chever, and Nathalie Rouach. "Astroglial gap junctions shape neuronal network activity." Communicative & Integrative Biology 5, no. 3 (2012): 248–54. http://dx.doi.org/10.4161/cib.19410.

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12

Lavi, Ayal, Omri Perez, and Uri Ashery. "Shaping Neuronal Network Activity by Presynaptic Mechanisms." PLOS Computational Biology 11, no. 9 (2015): e1004438. http://dx.doi.org/10.1371/journal.pcbi.1004438.

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13

Vachon, Nicholas, Thomas R. Kiehl, and Charles Bergeron. "Visualizing spike activity during neuronal network development." BMC Neuroscience 15, Suppl 1 (2014): P209. http://dx.doi.org/10.1186/1471-2202-15-s1-p209.

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14

Cohen, Dror, and Menahem Segal. "Homeostatic Presynaptic Suppression of Neuronal Network Bursts." Journal of Neurophysiology 101, no. 4 (2009): 2077–88. http://dx.doi.org/10.1152/jn.91085.2008.

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Spontaneous synchronized bursts of activity play an essential role in the maturation and plasticity of neuronal networks. To investigate the cellular properties that enable spontaneous network activity, we used dissociated cultures of hippocampal neurons that express prolonged network activity bursts. Acute exposure to a low concentration of N-methyl-d-aspartate (NMDA) caused an increase in spontaneous firing rates and intracellular calcium concentration ([Ca2+]i). However, in the course of a chronic (>1 day) exposure to NMDA, [Ca2+]i recovered back to normal baseline levels, and only spora
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15

Prinz, Astrid A. "Computational approaches to neuronal network analysis." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2397–405. http://dx.doi.org/10.1098/rstb.2010.0029.

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Computational modelling is an approach to neuronal network analysis that can complement experimental approaches. Construction of useful neuron and network models is often complicated by a variety of factors and unknowns, most notably the considerable variability of cellular and synaptic properties and electrical activity characteristics found even in relatively ‘simple’ networks of identifiable neurons. This chapter discusses the consequences of biological variability for network modelling and analysis, describes a way to embrace variability through ensemble modelling and summarizes recent fin
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16

Chang, John C., Gregory J. Brewer, and Bruce C. Wheeler. "Neuronal network structuring induces greater neuronal activity through enhanced astroglial development." Journal of Neural Engineering 3, no. 3 (2006): 217–26. http://dx.doi.org/10.1088/1741-2560/3/3/004.

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17

Pancrazio, Joseph J., Kamakshi Gopal, Edward W. Keefer, and Guenter W. Gross. "Botulinum Toxin Suppression of CNS Network ActivityIn Vitro." Journal of Toxicology 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/732913.

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The botulinum toxins are potent agents which disrupt synaptic transmission. While the standard method for BoNT detection and quantification is based on the mouse lethality assay, we have examined whether alterations in cultured neuronal network activity can be used to detect the functional effects of BoNT. Murine spinal cord and frontal cortex networks cultured on substrate integrated microelectrode arrays allowed monitoring of spontaneous spike and burst activity with exposure to BoNT serotype A (BoNT-A). Exposure to BoNT-A inhibited spike activity in cultured neuronal networks where, after a
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18

Cirneci, Dragos. "Three anti-correlated neuronal networks managing brain activity - Review." Romanian Journal of Neurology 10, no. 1 (2011): 19–26. http://dx.doi.org/10.37897/rjn.2011.1.3.

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In order to understand how the brain operates we should take into account it’s component which consume most of the energy, which is spontaneous neuronal activity. Imaging techniques like resting state functional connectivity MRI and Independent Component Analysis technique arrived at the conclusion that there are a couple of neuronal networks activated in tasks implying goal-oriented activity, and include the systems named “dorsal and ventral attention networks”. These networks are anti-correlated with another network comprising regions which are deactivated during these tasks, and are involve
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19

Jahnke, Heinz-Georg, Verena te Kamp, Christoph Prönnecke, et al. "Novel Multiparametric Bioelectronic Measurement System for Monitoring Virus-Induced Alterations in Functional Neuronal Networks." Biosensors 14, no. 6 (2024): 295. http://dx.doi.org/10.3390/bios14060295.

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Development and optimisation of bioelectronic monitoring techniques like microelectrode array-based field potential measurement and impedance spectroscopy for the functional, label-free and non-invasive monitoring of in vitro neuronal networks is widely investigated in the field of biosensors. Thus, these techniques were individually used to demonstrate the capabilities of, e.g., detecting compound-induced toxicity in neuronal culture models. In contrast, extended application for investigating the effects of central nervous system infecting viruses are rarely described. In this context, we wan
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20

Sun, Xiaojuan, and Tianshu Xue. "Effects of Time Delay on Burst Synchronization Transition of Neuronal Networks." International Journal of Bifurcation and Chaos 28, no. 12 (2018): 1850143. http://dx.doi.org/10.1142/s0218127418501432.

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In this paper, we focus on investigating the effects of time delay on burst synchronization transitions of a neuronal network which is locally modeled by Hindmarsh–Rose neurons. Here, neurons inside the neuronal network are connected through electrical synapses or chemical synapses. With the numerical results, it is revealed that burst synchronization transitions of both electrically and chemically coupled neuronal networks could be induced by time delay just when the coupling strength is large enough. Meanwhile, it is found that, in electrically and excitatory chemically coupled neuronal netw
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21

Parker, David. "Complexities and uncertainties of neuronal network function." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1465 (2005): 81–99. http://dx.doi.org/10.1098/rstb.2005.1779.

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The nervous system generates behaviours through the activity in groups of neurons assembled into networks. Understanding these networks is thus essential to our understanding of nervous system function. Understanding a network requires information on its component cells, their interactions and their functional properties. Few networks come close to providing complete information on these aspects. However, even if complete information were available it would still only provide limited insight into network function. This is because the functional and structural properties of a network are not fi
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22

Sinha, Ankur, Christoph Metzner, Neil Davey, Roderick Adams, Michael Schmuker, and Volker Steuber. "Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions." PLOS Computational Biology 17, no. 6 (2021): e1008996. http://dx.doi.org/10.1371/journal.pcbi.1008996.

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Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral lesions by altering their neuronal connectivity. While multiple lesion experiments have studied the changes in neurite morphology that underlie modifications of synapses in these networks, the underlying mechanisms that drive these changes are yet to be explained. Evidence suggests that neuronal activity modulates neurite morphology and may stimulate neurites to selective sprou
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23

Otto, F., B. C. Kieseier, P. Görtz, H. P. Hartung, and M. Siebler. "The Pentapeptide QYNAD Does Not Inhibit Neuronal Network Activity." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 32, no. 3 (2005): 344–48. http://dx.doi.org/10.1017/s0317167100004248.

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ABSTRACT:Background:Controversial data was published about the sodium channel-blocking effect of the endogenous pentapeptide QYNAD, which is elevated in patients with multiple sclerosis and Guillain-Barré-syndrome. In some experiments with single cells and nerve preparations QYNAD inhibited sodium currents to the same extent as the known sodium channel blocker lidocaine whereas in other laboratory testing QYNAD failed to show any effect at all.Methods:Micro-electrode arrays with cultured neuronal networks are highly suitable to determine neuroactive activity of applied substances. The impact o
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24

Zhang, Hong-Mei, Natallia Robinson, Ilsa Gómez-Curet, Wenlan Wang, and Melissa A. Harrington. "Neuronal and network activity in networks of cultured spinal motor neurons." NeuroReport 20, no. 9 (2009): 849–54. http://dx.doi.org/10.1097/wnr.0b013e32832be525.

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25

Saito, Atsushi, Yutaro Nakashima, Kenta Shimba, Yuzo Takayama, Kiyoshi Kotani, and Yasuhiko Jimbo. "Modulation of neuronal network activity using magnetic nanoparticle-based astrocytic network integration." Biomaterials Science 3, no. 8 (2015): 1228–35. http://dx.doi.org/10.1039/c5bm00092k.

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26

Pigareva, Yana, Arseniy Gladkov, Vladimir Kolpakov, et al. "Microfluidic Bi-Layer Platform to Study Functional Interaction between Co-Cultured Neural Networks with Unidirectional Synaptic Connectivity." Micromachines 14, no. 4 (2023): 835. http://dx.doi.org/10.3390/mi14040835.

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The complex synaptic connectivity architecture of neuronal networks underlies cognition and brain function. However, studying the spiking activity propagation and processing in heterogeneous networks in vivo poses significant challenges. In this study, we present a novel two-layer PDMS chip that facilitates the culturing and examination of the functional interaction of two interconnected neural networks. We utilized cultures of hippocampal neurons grown in a two-chamber microfluidic chip combined with a microelectrode array. The asymmetric configuration of the microchannels between the chamber
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Shimba, Kenta, Kazuyuki Arimatsu, Takuya Isomura, Akimasa Takeuchi, Kiyoshi Kotani, and Yasuhiko Jimbo. "Serotonergic Modulation of Activity Pattern on Neuronal Network." IEEJ Transactions on Electronics, Information and Systems 133, no. 9 (2013): 1814–19. http://dx.doi.org/10.1541/ieejeiss.133.1814.

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28

Schwarz, Clara-Sophie, Stefano Ferrea, Kim Quasthoff, et al. "Ammonium chloride influences in vitro-neuronal network activity." Experimental Neurology 235, no. 1 (2012): 368–73. http://dx.doi.org/10.1016/j.expneurol.2012.02.019.

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29

Swinehart, Christian D., Kris Bouchard, Peretz Partensky, and L. F. Abbott. "Control of network activity through neuronal response modulation." Neurocomputing 58-60 (June 2004): 327–35. http://dx.doi.org/10.1016/j.neucom.2004.01.063.

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30

Funke, Frank, Mathias Dutschmann, and Michael Müller. "Imaging of respiratory-related population activity with single-cell resolution." American Journal of Physiology-Cell Physiology 292, no. 1 (2007): C508—C516. http://dx.doi.org/10.1152/ajpcell.00253.2006.

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The pre-Bötzinger complex (PBC) in the rostral ventrolateral medulla contains a kernel involved in respiratory rhythm generation. So far, its respiratory activity has been analyzed predominantly by electrophysiological approaches. Recent advances in fluorescence imaging now allow for the visualization of neuronal population activity in rhythmogenic networks. In the respiratory network, voltage-sensitive dyes have been used mainly, so far, but their low sensitivity prevents an analysis of activity patterns of single neurons during rhythmogenesis. We now have succeeded in using more sensitive Ca
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31

Roach, James P., Aleksandra Pidde, Eitan Katz, et al. "Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks." Proceedings of the National Academy of Sciences 115, no. 13 (2018): E3017—E3025. http://dx.doi.org/10.1073/pnas.1716933115.

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Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations’ spiking activity and information encoding is less known. Here, we use computational modeling to demonstrate that a shift in resonance responses can interact with oscillating input to ensure that networks of neurons properly encode new information represented in external inputs to the weights of recurrent synaptic connections. Using a neuronal network model, we find t
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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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33

Genrikhs, Elizaveta E., Olga P. Aleksandrova, Elena V. Stelmashuk, et al. "Changes in the morphofunctional development of the neuronal network in a dissociated cell culture of rat cerebral cortical neurons." Annals of Clinical and Experimental Neurology 13, no. 4 (2019): 38–45. https://doi.org/10.25692/acen.2019.4.6.

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Introduction. Study of the morphofunctional neuronal development in a dissociated cerebrocortical cell culture, using modern cell technologies, is a priority in experimental neurology, which is required for successful in vitro modelling of acute and chronic forms of cerebral pathology. Aim. A morphofunctional study of the in vitro changes in neuronal differentiation of rat cerebral cortical neurons, using a range of analysis methods, including immunohistochemistry, fluorescence, and electrophysiology. Materials and methods. We investigated the degree of culture differentiation on day 34 and da
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Gowers, Robert P., and Susanne Schreiber. "How neuronal morphology impacts the synchronisation state of neuronal networks." PLOS Computational Biology 20, no. 3 (2024): e1011874. http://dx.doi.org/10.1371/journal.pcbi.1011874.

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The biophysical properties of neurons not only affect how information is processed within cells, they can also impact the dynamical states of the network. Specifically, the cellular dynamics of action-potential generation have shown relevance for setting the (de)synchronisation state of the network. The dynamics of tonically spiking neurons typically fall into one of three qualitatively distinct types that arise from distinct mathematical bifurcations of voltage dynamics at the onset of spiking. Accordingly, changes in ion channel composition or even external factors, like temperature, have be
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Saavedra, Lorena, Kathleen Wallace, Theresa F. Freudenrich, et al. "Comparison of Acute Effects of Neurotoxic Compounds on Network Activity in Human and Rodent Neural Cultures." Toxicological Sciences 180, no. 2 (2021): 295–312. http://dx.doi.org/10.1093/toxsci/kfab008.

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Abstract Assessment of neuroactive effects of chemicals in cell-based assays remains challenging as complex functional tissue is required for biologically relevant readouts. Recent in vitro models using rodent primary neural cultures grown on multielectrode arrays allow quantitative measurements of neural network activity suitable for neurotoxicity screening. However, robust systems for testing effects on network function in human neural models are still lacking. The increasing number of differentiation protocols for generating neurons from human-induced pluripotent stem cells (hiPSCs) holds g
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Voogd, Eva J. H. F., Marloes Thijs, Marloes R. Levers, Jeannette Hofmeijer, and Monica Frega. "Hypothermia improves neuronal network recovery in a human-derived in vitro model of oxygen-deprivation." PLOS ONE 19, no. 12 (2024): e0314913. https://doi.org/10.1371/journal.pone.0314913.

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Mild therapeutic hypothermia showed potential neuroprotective properties during and after cerebral hypoxia or ischemia in experimental animal studies. However, in clinical trials, where hypothermia is mainly applied after reperfusion, results were divergent and neurophysiological effects unclear. In our current study, we employed human-derived neuronal networks to investigate how treatment with hypothermia during hypoxia influences neuronal functionality and whether it improves post-hypoxic recovery. We differentiated neuronal networks from human induced pluripotent stem cells on micro-electro
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Ali, Obaï Bin Ka’b, Alexandre Vidal, Christophe Grova, and Habib Benali. "Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach." PLOS Computational Biology 21, no. 1 (2025): e1012683. https://doi.org/10.1371/journal.pcbi.1012683.

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Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles of astrocytes while primarily focusing on neurons. Addressing this oversight, we introduce a biophysical neural mass network model, designed to capture the dynamic interplay between astrocytes and neurons via glutamatergic and GABAergic transmission pathways. This network model proposes that neural dynamics are constrained by a two-layered s
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Estévez-Priego, Estefanía, Sara Teller, Clara Granell, Alex Arenas, and Jordi Soriano. "Functional strengthening through synaptic scaling upon connectivity disruption in neuronal cultures." Network Neuroscience 4, no. 4 (2020): 1160–80. http://dx.doi.org/10.1162/netn_a_00156.

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An elusive phenomenon in network neuroscience is the extent of neuronal activity remodeling upon damage. Here, we investigate the action of gradual synaptic blockade on the effective connectivity in cortical networks in vitro. We use two neuronal cultures configurations—one formed by about 130 neuronal aggregates and another one formed by about 600 individual neurons—and monitor their spontaneous activity upon progressive weakening of excitatory connectivity. We report that the effective connectivity in all cultures exhibits a first phase of transient strengthening followed by a second phase o
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Zhigalov, Alexander, Gabriele Arnulfo, Lino Nobili, Satu Palva, and J. Matias Palva. "Modular co-organization of functional connectivity and scale-free dynamics in the human brain." Network Neuroscience 1, no. 2 (2017): 143–65. http://dx.doi.org/10.1162/netn_a_00008.

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Scale-free neuronal dynamics and interareal correlations are emergent characteristics of spontaneous brain activity. How such dynamics and the anatomical patterns of neuronal connectivity are mutually related in brain networks has, however, remained unclear. We addressed this relationship by quantifying the network colocalization of scale-free neuronal activity—both neuronal avalanches and long-range temporal correlations (LRTCs)—and functional connectivity (FC) by means of intracranial and noninvasive human resting-state electrophysiological recordings. We found frequency-specific colocalizat
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40

Volmer, Romain, Christine M. A. Prat, Gwendal Le Masson, André Garenne, and Daniel Gonzalez-Dunia. "Borna Disease Virus Infection Impairs Synaptic Plasticity." Journal of Virology 81, no. 16 (2007): 8833–37. http://dx.doi.org/10.1128/jvi.00612-07.

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ABSTRACT The mechanisms whereby Borna disease virus (BDV) can impair neuronal function and lead to neurobehavioral disease are not well understood. To analyze the electrophysiological properties of neurons infected with BDV, we used cultures of neurons grown on multielectrode arrays, allowing a real-time monitoring of the electrical activity across the network shaped by synaptic transmission. Although infection did not affect spontaneous neuronal activity, it selectively blocked activity-dependent enhancement of neuronal network activity, one form of synaptic plasticity thought to be important
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41

Batuev, Alexander. "Two neuronal systems involved in short-term spatial memory in monkeys." Acta Neurobiologiae Experimentalis 54, no. 4 (1994): 335–44. http://dx.doi.org/10.55782/ane-1994-1040.

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The investigation of the neuronal activity in the monkey cerebral cortex during the delayed spatial choice performance allowed us to develop the hypothesis about two neuronal networks supporting the operative memory. The work of one of them is based on the relay-race and reverberation principles of information transfer. Another neuronal network provides for the reliability of transfer phases of these processes. The two networks are present in both prefrontal and parietal association cortical area.
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42

Guerrier, Claire, John A. Hayes, Gilles Fortin, and David Holcman. "Robust network oscillations during mammalian respiratory rhythm generation driven by synaptic dynamics." Proceedings of the National Academy of Sciences 112, no. 31 (2015): 9728–33. http://dx.doi.org/10.1073/pnas.1421997112.

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How might synaptic dynamics generate synchronous oscillations in neuronal networks? We address this question in the preBötzinger complex (preBötC), a brainstem neural network that paces robust, yet labile, inspiration in mammals. The preBötC is composed of a few hundred neurons that alternate bursting activity with silent periods, but the mechanism underlying this vital rhythm remains elusive. Using a computational approach to model a randomly connected neuronal network that relies on short-term synaptic facilitation (SF) and depression (SD), we show that synaptic fluctuations can initiate pop
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43

Eggert, J., and J. L. van Hemmen. "Modeling Neuronal Assemblies: Theory and Implementation." Neural Computation 13, no. 9 (2001): 1923–74. http://dx.doi.org/10.1162/089976601750399254.

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Models that describe qualitatively and quantitatively the activity of entire groups of spiking neurons are becoming increasingly important for biologically realistic large-scale network simulations. At the systems and areas modeling level, it is necessary to switch the basic descriptional level from single spiking neurons to neuronal assemblies. In this article, we present and review work that allows a macroscopic description of the assembly activity. We show that such macroscopic models can be used to reproduce in a quantitatively exact manner the joint activity of groups of spike-response or
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Hardy, Eléonore, Julien Moulard, Augustin Walter, et al. "Upregulation of astroglial connexin 30 impairs hippocampal synaptic activity and recognition memory." PLOS Biology 21, no. 4 (2023): e3002075. http://dx.doi.org/10.1371/journal.pbio.3002075.

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Astrocytes crucially contribute to synaptic physiology and information processing. One of their key characteristics is to express high levels of connexins (Cxs), the gap junction–forming protein. Among them, Cx30 displays specific properties since it is postnatally expressed and dynamically upregulated by neuronal activity and modulates cognitive processes by shaping synaptic and network activities, as recently shown in knockout mice. However, it remains unknown whether local and selective upregulation of Cx30 in postnatal astrocytes within a physiological range modulates neuronal activities i
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45

Mourzina, Yulia, Alfred Steffen, Dmitri Kaliaguine, et al. "Spatially resolved non-invasive chemical stimulation for modulation of signalling in reconstructed neuronal networks." Journal of The Royal Society Interface 3, no. 7 (2005): 333–43. http://dx.doi.org/10.1098/rsif.2005.0099.

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Functional coupling of reconstructed neuronal networks with microelectronic circuits has potential for the development of bioelectronic devices, pharmacological assays and medical engineering. Modulation of the signal processing properties of on-chip reconstructed neuronal networks is an important aspect in such applications. It may be achieved by controlling the biochemical environment, preferably with cellular resolution. In this work, we attempt to design cell–cell and cell–medium interactions in confined geometries with the aim to manipulate non-invasively the activity pattern of an indivi
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46

Ganbat, Dulguun, Jae Kyong Jeon, Yunjong Lee та Sang Seong Kim. "Exploring the Pathological Effect of Aβ42 Oligomers on Neural Networks in Primary Cortical Neuron Culture". International Journal of Molecular Sciences 24, № 7 (2023): 6641. http://dx.doi.org/10.3390/ijms24076641.

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Alzheimer’s disease (AD) is a multifactorial disorder that affects cognitive functioning, behavior, and neuronal properties. The neuronal dysfunction is primarily responsible for cognitive decline in AD patients, with many causal factors including plaque accumulation of Aβ42. Neural hyperactivity induced by Aβ42 deposition causes abnormalities in neural networks, leading to alterations in synaptic activity and interneuron dysfunction. Even though neuroimaging techniques elucidated the underlying mechanism of neural connectivity, precise understanding at the cellular level is still elusive. Pre
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47

Daniel, Andy, Saritha Krishna, Galina Popova, Jasleen Kaur, and Shawn L. Hervey-Jumper. "CNSC-23. NEURONAL ORIGIN INFLUENCES SPONTANEOUS NETWORK ACTIVITY IN GLIOBLASTOMA-NEURON COCULTURES." Neuro-Oncology 24, Supplement_7 (2022): vii27. http://dx.doi.org/10.1093/neuonc/noac209.104.

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Abstract Neuronal activity is emerging as a driver of cancer initiation and proliferation. Several models have been developed to recapitulate cancer-neuron interactions within the tumor microenvironment; however, there is substantial diversity of neuronal subtypes within the murine and human cortex. Differences in the neuronal microenvironment may influence glioma cell behavior and fail to recapitulate in vivo mechanisms. Here, we investigate the electrophysiological properties of cortical neurons and activity-regulated paracrine signaling across co-culture conditions using microelectrode arra
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48

Xiang, Xuyan, and Jianguo Wu. "Dynamics of Moment Neuronal Networks with Intra- and Inter-Interactions." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/381271.

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A framework of moment neuronal networks with intra- and inter-interactions is presented. It is to show how the spontaneous activity is propagated across the homogeneous and heterogeneous network. The input-output firing relationship and the stability are first explored for a homogeneous network. For heterogeneous network without the constraint of the correlation coefficients between neurons, a more sophisticated dynamics is then explored. With random interactions, the network gets easily synchronized. However, desynchronization is produced by a lateral interaction such as Mexico hat function.
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Rafati, Ali H., Sâmia Joca, Regina T. Vontell, Carina Mallard, Gregers Wegener, and Maryam Ardalan. "A Model-Based Approach to Neuronal Electrical Activity and Spatial Organization Through the Neuronal Actin Cytoskeleton." Methods and Protocols 8, no. 4 (2025): 76. https://doi.org/10.3390/mps8040076.

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The study of neuronal electrical activity and spatial organization is essential for uncovering the mechanisms that regulate neuronal electrophysiology and function. Mathematical models have been utilized to analyze the structural properties of neuronal networks, predict connectivity patterns, and examine how morphological changes impact neural network function. In this study, we aimed to explore the role of the actin cytoskeleton in neuronal signaling via primary cilia and to elucidate the role of the actin network in conjunction with neuronal electrical activity in shaping spatial neuronal fo
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50

Vasile, Flora, Elena Dossi, Julien Moulard, et al. "Pannexin 1 activity in astroglia sets hippocampal neuronal network patterns." PLOS Biology 20, no. 12 (2022): e3001891. http://dx.doi.org/10.1371/journal.pbio.3001891.

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Astroglial release of molecules is thought to actively modulate neuronal activity, but the nature, release pathway, and cellular targets of these neuroactive molecules are still unclear. Pannexin 1, expressed by neurons and astrocytes, form nonselective large pore channels that mediate extracellular exchange of molecules. The functional relevance of these channels has been mostly studied in brain tissues, without considering their specific role in different cell types, or in neurons. Thus, our knowledge of astroglial pannexin 1 regulation and its control of neuronal activity remains very limit
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