Relevant bibliographies by topics / Neural synchrony

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  2. Dissertations / Theses
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Academic literature on the topic 'Neural synchrony'

Author: Grafiati
Published: 22 February 2023
Last updated: 31 July 2025

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Journal articles on the topic "Neural synchrony"

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Kraus, Nina. "Neural Synchrony." Hearing Journal 67, no. 6 (2014): 6. http://dx.doi.org/10.1097/01.hj.0000451360.70842.cd.

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Neel, Mary Lauren, Arnaud Jeanvoine, Caitlin P. Kjeldsen, and Nathalie L. Maitre. "Mother–Infant Dyadic Neural Synchrony Measured Using EEG Hyperscanning and Validated Using Behavioral Measures." Children 12, no. 2 (2025): 115. https://doi.org/10.3390/children12020115.

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Background/objective: Greater parent–infant synchrony is associated with improved child outcomes. Behavioral measures of synchrony are still developing in young infants; thus, researchers need tools to quantify synchrony between parents and their young infants. We examined parent–infant neural synchrony measured using dual EEG hyperscanning and associations between neural synchrony, infant behavioral measures of synchrony, and maternal bondedness and depression. Methods: Our prospective cohort study included mother–infant dyads at 2–4 months of age. We collected time-locked dual EEG recordings
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Heng, Wen Xiu, Li Ying Ng, Zen Ziyi Goh, Gianluca Esposito, and Atiqah Azhari. "Romantic Partners with Mismatched Relationship Satisfaction Showed Greater Interpersonal Neural Synchrony When Co-Viewing Emotive Videos: An Exploratory Pilot fNIRS Hyperscanning Study." NeuroSci 6, no. 2 (2025): 55. https://doi.org/10.3390/neurosci6020055.

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Emotional attunement, or emotional co-regulation in a relationship, can manifest as interpersonal neural synchrony, where partners exhibit similar anti-phase or phase-shifted brain activity. In adult romantic relationships, emotional attunement may differ according to relationship satisfaction. No study has examined how relationship satisfaction difference influences interpersonal neural synchrony. This exploratory pilot study on 17 couples (unmarried Chinese undergraduate couples in a Southeast Asian university) investigated whether relationship satisfaction difference influenced interpersona
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Brette, Romain. "Computing with Neural Synchrony." PLoS Computational Biology 8, no. 6 (2012): e1002561. http://dx.doi.org/10.1371/journal.pcbi.1002561.

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Ford, J. M., and D. H. Mathalon. "Neural Synchrony in Schizophrenia." Schizophrenia Bulletin 34, no. 5 (2008): 904–6. http://dx.doi.org/10.1093/schbul/sbn090.

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He, Shuman, Jeffrey Skidmore, and Yi Yuan. "Peripheral neural synchrony in pediatric cochlear implant users." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A28. http://dx.doi.org/10.1121/10.0022679.

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We recently developed a noninvasive method to quantify neural synchrony in the electrically stimulated cochlear nerve (i.e., peripheral neural synchrony) using an index named the phase locking value (PLV). The PLV is a measurement of trial-to-trial phase coherence in the summated activity of cochlear nerve fibers. Larger PLVs indicate better/stronger peripheral neural synchrony. This tool allows for investigating this important phenomenon in cochlear implant (CI) users for the first time in the literature. The aim of this study was to characterize peripheral neural synchrony in a large group o
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Hansel, D., G. Mato, and C. Meunier. "Synchrony in Excitatory Neural Networks." Neural Computation 7, no. 2 (1995): 307–37. http://dx.doi.org/10.1162/neco.1995.7.2.307.

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Synchronization properties of fully connected networks of identical oscillatory neurons are studied, assuming purely excitatory interactions. We analyze their dependence on the time course of the synaptic interaction and on the response of the neurons to small depolarizations. Two types of responses are distinguished. In the first type, neurons always respond to small depolarization by advancing the next spike. In the second type, an excitatory postsynaptic potential (EPSP) received after the refractory period delays the firing of the next spike, while an EPSP received at a later time advances
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Dayhoff, Judith E. "Synchrony detection in neural assemblies." Biological Cybernetics 71, no. 3 (1994): 263–70. http://dx.doi.org/10.1007/bf00202765.

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Kühn, Simone, Barbara C. N. Müller, Andries van der Leij, Ap Dijksterhuis, Marcel Brass, and Rick B. van Baaren. "Neural correlates of emotional synchrony." Social Cognitive and Affective Neuroscience 6, no. 3 (2010): 368–74. http://dx.doi.org/10.1093/scan/nsq044.

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Mashour, George A. "Consciousness, Anesthesia, and Neural Synchrony." Anesthesiology 119, no. 1 (2013): 7–9. http://dx.doi.org/10.1097/aln.0b013e31828e8974.

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Dissertations / Theses on the topic "Neural synchrony"

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Campbell, Shannon R. "Synchrony and desynchrony in neural oscillators /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487945744574556.

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Trujillo, Logan. "Does neural synchrony reflect conscious visual perception?" Thesis, The University of Arizona, 2002. http://hdl.handle.net/10150/278786.

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This study investigated the relationship between synchronous neural activity and conscious visual perception by directly measuring neural synchrony in human EEG data collected during a perceptual task that controlled for the influence of attention. Improving a recently developed experimental paradigm and synchrony detection method (Rodriguez et al., 1999), participants viewed upright and scrambled Mooney face stimuli (fragmented black and white shapes that are perceived as faces upon visual closure) over 1000 ms exposures while performing a secondary attention task. During both presentation co
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Goings, Sydney Pia. "Neural Synchrony in the Zebra Finch Brain." Scholarship @ Claremont, 2012. https://scholarship.claremont.edu/scripps_theses/41.

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I am interested in discovering the role of field potential oscillations in producing synchrony within the song system of the male zebra finch brain. An important function attributed to neural synchrony is sensorimotor integration. In the production of birdsong, sensorimotor integration is crucial, as auditory feedback is necessary for the maintenance of the song. A cortical-thalamic-cortical feedback loop is thought to play a role in the integration of auditory and motor information for the purpose of producing song. Synchronous activity has been observed between at least two nuclei in this fe
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Esnaola, Acebes Jose M. "Patterns of spike synchrony in neural field models." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663871.

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Els models neuronals de camp mig són descripcions fenomenològiques de l'activitat de xarxes de neurones espacialment organitzades. Gràcies a la seva simplicitat, aquests models són unes eines extremadament útils per a l'anàlisi dels patrons espai-temporals que apareixen a les xarxes neuronals, i s'utilitzen àmpliament en neurociència computacional. És ben sabut que els models de camp mig tradicionals no descriuen adequadament la dinàmica de les xarxes de neurones si aquestes actuen de manera síncrona. No obstant això, les simulacions computacionals de xarxes neuronals demostren que, fi
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Preyer, Amanda Jervis. "Coupling and synchrony in neuronal networks electrophysiological experiments /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24799.

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Thesis (Ph.D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Butera, Robert; Committee Member: Canavier, Carmen; Committee Member: DeWeerth, Stephen; Committee Member: Hasler, Paul; Committee Member: Lanterman, Aaron; Committee Member: Prinz, Astrid.
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Shlens, Jonathon. "Synchrony and concerted activity in the neural code of the retina." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3258325.

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Thesis (Ph. D.)--University of California, San Diego, 2007.<br>Title from first page of PDF file (viewed May 22, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 136-156).
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Kuebler, Eric Stephen. "Harnessing the Variability of Neuronal Activity: From Single Neurons to Networks." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37855.

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Neurons and networks of the brain may use various strategies of computation to provide the neural substrate for sensation, perception, or cognition. To simplify the scenario, two of the most commonly cited neural codes are firing rate and temporal coding, whereby firing rates are typically measured over a longer duration of time (i.e., seconds or minutes), and temporal codes use shorter time windows (i.e., 1 to 100 ms). However, it is possible that neurons may use other strategies. Here, we highlight three methods of computation that neurons, or networks, of the brain may use to encode and/or
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Cieniak, Jakub. "Stimulus Coding and Synchrony in Stochastic Neuron Models." Thèse, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/20004.

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A stochastic leaky integrate-and-fire neuron model was implemented in this study to simulate the spiking activity of the electrosensory "P-unit" receptor neurons of the weakly electric fish Apteronotus leptorhynchus. In the context of sensory coding, these cells have been previously shown to respond in experiment to natural random narrowband signals with either a linear or nonlinear coding scheme, depending on the intrinsic firing rate of the cell in the absence of external stimulation. It was hypothesised in this study that this duality is due to the relation of the stimulus to the neuron's e
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Schmidt, Loren Janes. "OLFACTORY BULB SYNCHRONY: SPATIALLY LOCALIZED COINCIDENT INHIBITION OF MITRAL CELLS BY GABAERGIC MICROCIRCUITS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1404390871.

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Castejón, i. Compnay Oriol. "Study of invariant manifolds in two different problems : the Hopf-zero singularity and neural synchrony." Doctoral thesis, Universitat Politècnica de Catalunya, 2015. http://hdl.handle.net/10803/311629.

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The main object of study of this thesis are invariant manifolds in the field of dynamical systems. We deal with two different and independent topics, namely, the study of exponentially small splitting of invariant manifolds in analytic unfoldings of the Hopf-zero singularity (in Part I) and the applications of dynamical systems in problems inspired by neuroscience (in Part II). In general, this thesis studies both theoretical and applied problems in dynamical systems, using analytical as well as computational tools. In Part I, we consider a certain class of generic unfoldings of the so-called
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Books on the topic "Neural synchrony"

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Saalmann, Yuri B., and Sabine Kastner. Neural Mechanisms of Spatial Attention in the Visual Thalamus. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.013.

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Neural mechanisms of selective attention route behaviourally relevant information through brain networks for detailed processing. These attention mechanisms are classically viewed as being solely implemented in the cortex, relegating the thalamus to a passive relay of sensory information. However, this passive view of the thalamus is being revised in light of recent studies supporting an important role for the thalamus in selective attention. Evidence suggests that the first-order thalamic nucleus, the lateral geniculate nucleus, regulates the visual information transmitted from the retina to
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Miller, Earl K., and Timothy J. Buschman. Neural Mechanisms for the Executive Control of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.017.

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The prefrontal cortex is a source of internal control of attention as it captures three important components of an executive controller. First, it provides top-down selection of neural representations through descending projections, This top-down input may act by increasing the synchrony of local neural populations, enhancing their connectivity, and boosting the transmission of information. Second, intelligent top-down control of behaviour requires integrating diverse information. Neural representations in prefrontal cortex capture this breadth of information: representing anything from the sp
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Bleck, Thomas P. Pathophysiology and causes of seizures. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0231.

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Seizures result from imbalances between excitation and inhibition, and between neuronal synchrony and dyssynchrony. Current models implicate the cerebral cortex in the genesis of seizures, although thalamic mechanisms (particularly the thalamic reticular formation) are involved in the synchronization of cortical neurons. Often, the precipitants of a seizure in the critical care setting are pharmacological. Several mechanisms linked to critical illness can lead to seizures. Failure to remove glutamate and potassium from the extracellular space, functions performed predominantly by astrocytes, o
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Book chapters on the topic "Neural synchrony"

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Parque, Victor, Masakazu Kobayashi, and Masatake Higashi. "Neural Computing with Concurrent Synchrony." In Neural Information Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12637-1_38.

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van Putten, Michel J. A. M. "Elementary Neural Networks and Synchrony." In Dynamics of Neural Networks. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61184-5_5.

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Roberts, Larry E. "Neural Synchrony and Neural Plasticity in Tinnitus." In Textbook of Tinnitus. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-60761-145-5_13.

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Park, Ukeob, Kalyana C. Veluvolu, and Minho Lee. "Phase Synchrony for Human Implicit Intent Differentiation." In Neural Information Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-42054-2_53.

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Stone, Bradly, Anna Skinner, Maja Stikic, and Robin Johnson. "Assessing Neural Synchrony in Tutoring Dyads." In Foundations of Augmented Cognition. Advancing Human Performance and Decision-Making through Adaptive Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07527-3_16.

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Wagatsuma, Nobuhiko, Rüdiger von der Heydt, and Ernst Niebur. "Modeling Attention-Induced Reduction of Spike Synchrony in the Visual Cortex." In Neural Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46687-3_40.

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Singer, Wolf. "The Role of Synchrony in Neocortical Processing and Synaptic Plasticity." In Models of Neural Networks. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4320-5_4.

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Trojano, Luigi. "Neural Basis of Emotion Regulation." In Development of Multimodal Interfaces: Active Listening and Synchrony. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12397-9_26.

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Murthy, Venkatesh N., and Eberhard E. Fetz. "Effects of Input Synchrony on the Response of a Model Neuron." In Computation and Neural Systems. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3254-5_72.

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Bizzego, Andrea, Giulio Gabrieli, Atiqah Azhari, Peipei Setoh, and Gianluca Esposito. "Computational Methods for the Assessment of Empathic Synchrony." In Progresses in Artificial Intelligence and Neural Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5093-5_47.

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Conference papers on the topic "Neural synchrony"

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Lad, Tanmay, Prateek Tripathi, Costanza Gulli, Nicolas Moser, and Pantelis Georgiou. "Neural Synchrony for Neuromorphic ISFET Cluster Calibration." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712675.

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Tukhlina, Natalia, Arkady Pikovsky, Jürgen Kurths, and Michael Rosenblum. "Feedback suppression of neural synchrony." In COOPERATIVE BEHAVIOR IN NEURAL SYSTEMS: Ninth Granada Lectures. AIP, 2007. http://dx.doi.org/10.1063/1.2709588.

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Desimone, Robert. "Neural synchrony and selective attention." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5179097.

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Quiles, Marcos G., Liang Zhao, Fabricio A. Breve, and Anderson Rocha. "Label propagation through neuronal synchrony." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596809.

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Kuhn, Fabian, Joel Spencer, Konstantinos Panagiotou, and Angelika Steger. "Synchrony and Asynchrony in Neural Networks." In Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 2010. http://dx.doi.org/10.1137/1.9781611973075.77.

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Fine, Ananda S., David P. Nicholls, and David J. Mogul. "Analysis of instantaneous synchrony during seizures." In 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2009. http://dx.doi.org/10.1109/ner.2009.5109340.

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Lama, Nikesh, Alan Hargreaves, Bob Stevens, and TM McGinnity. "Spike Train Synchrony Analysis of Neuronal Cultures." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489728.

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Qaraqe, Marwa, Muhammad Ismail, and Erchin Serpedin. "Patient-Specific Seizure Onset Detection Via Neural Synchrony." In Qatar Foundation Annual Research Conference Proceedings. Hamad bin Khalifa University Press (HBKU Press), 2014. http://dx.doi.org/10.5339/qfarc.2014.hbpp0385.

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Marcheret, Etienne, Gerasimos Potamianos, Josef Vopicka, and Vaibhava Goel. "Detecting audio-visual synchrony using deep neural networks." In Interspeech 2015. ISCA, 2015. http://dx.doi.org/10.21437/interspeech.2015-201.

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Masuda, Naoki, and Hiroshi Kori. "STDP enhances frequency synchrony in neural networks with a pacemaker." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4370937.

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Reports on the topic "Neural synchrony"

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Yaron, Zvi, Abigail Elizur, Martin Schreibman, and Yonathan Zohar. Advancing Puberty in the Black Carp (Mylopharyngodon piceus) and the Striped Bass (Morone saxatilis). United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7695841.bard.

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Both the genes and cDNA sequences encoding the b-subunits of black carp LH and FSH were isolated, cloned and sequenced. Sequence analysis of the bcFSHb and LHb5'flanking regions revealed that the promoter region of both genes contains canonical TATA sequences, 30 bp and 17 bp upstream of the transcription start site of FSHb and LHb genes, respectively. In addition, they include several sequences of cis-acting motifs, required for inducible and tissue-specific transcriptional regulation: the gonadotropin-specific element (GSE), GnRH responsive element (GRE), half sites of estrogen and androgen
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