Log in

Relevant bibliographies by topics / Neural synchrony / Journal articles

To see the other types of publications on this topic, follow the link: Neural synchrony.

Journal articles on the topic 'Neural synchrony'

Author: Grafiati

Published: 22 February 2023

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Neural synchrony.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

4

Brette, Romain. "Computing with Neural Synchrony." PLoS Computational Biology 8, no. 6 (2012): e1002561. http://dx.doi.org/10.1371/journal.pcbi.1002561.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

8

Dayhoff, Judith E. "Synchrony detection in neural assemblies." Biological Cybernetics 71, no. 3 (1994): 263–70. http://dx.doi.org/10.1007/bf00202765.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

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

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Spencer, Kevin M., Paul G. Nestor, Margaret A. Niznikiewicz, Dean F. Salisbury, Martha E. Shenton, and Robert W. McCarley. "Abnormal Neural Synchrony in Schizophrenia." Journal of Neuroscience 23, no. 19 (2003): 7407–11. http://dx.doi.org/10.1523/jneurosci.23-19-07407.2003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Dayhoff, Judith E. "Synchrony detection in neural assemblies." Biological Cybernetics 71, no. 3 (1994): 263–70. http://dx.doi.org/10.1007/s004220050088.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Vanni, Simo. "Neural Synchrony and Dynamic Connectivity." Consciousness and Cognition 8, no. 2 (1999): 159–63. http://dx.doi.org/10.1006/ccog.1999.0387.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Roy, A., P. N. Steinmetz, S. S. Hsiao, K. O. Johnson, and E. Niebur. "Synchrony: A Neural Correlate of Somatosensory Attention." Journal of Neurophysiology 98, no. 3 (2007): 1645–61. http://dx.doi.org/10.1152/jn.00522.2006.

Full text

Abstract:

We investigated whether synchrony between neuronal spike trains is affected by the animal's attentional state. Cross-correlation functions between pairs of spike trains in the second somatosensory cortex (SII) of three macaque monkeys trained to switch attention between a visual task and a tactile task were computed. We previously showed that the majority of recorded neuron pairs (66%) in SII cortex fire synchronously while the animals performed either task and that in a subset of neuron pairs (17%), the degree of synchrony was affected by the animal's attentional state. Of the neuron pairs th

APA, Harvard, Vancouver, ISO, and other styles

15

Henschel, Anna, and Emily S. Cross. "No evidence for enhanced likeability and social motivation towards robots after synchrony experience." Interaction Studies 21, no. 1 (2020): 7–23. http://dx.doi.org/10.1075/is.19004.hen.

Full text

Abstract:

Abstract A wealth of social psychology studies suggests that moving in synchrony with another person can positively influence their likeability and prosocial behavior towards them. Recently, human-robot interaction (HRI) researchers have started to develop real-time, adaptive synchronous movement algorithms for social robots. However, little is known how socially beneficial synchronous movements with a robot actually are. We predicted that moving in synchrony with a robot would improve its likeability and participants’ social motivation towards the robot, as measured by the number of questions

APA, Harvard, Vancouver, ISO, and other styles

16

YANG, RENHUAN, AIGUO SONG, and WUJIE YUAN. "ENHANCEMENT OF SPIKE SYNCHRONY IN HINDMARSH–ROSE NEURAL NETWORKS BY RANDOMLY REWIRING CONNECTIONS." Modern Physics Letters B 23, no. 11 (2009): 1405–14. http://dx.doi.org/10.1142/s0217984909019533.

Full text

Abstract:

Spike synchrony of the neural system is thought to have very dichotomous roles. On the one hand, it is ubiquitously present in the healthy brain and is thought to underlie feature binding during information processing. On the other hand, large scale synchronization is an underlying mechanism of epileptic seizures. In this paper, we investigate the spike synchrony of Hindmarsh–Rose (HR) neural networks. Our focus is the influence of the network connections on the spike synchrony of the neural networks. The simulations show that desynchronization in the nearest-neighbor coupled network evolves i

APA, Harvard, Vancouver, ISO, and other styles

17

Castelhano, João, Inês Bernardino, José Rebola, Eugenio Rodriguez, and Miguel Castelo-Branco. "Oscillations or Synchrony? Disruption of Neural Synchrony despite Enhanced Gamma Oscillations in a Model of Disrupted Perceptual Coherence." Journal of Cognitive Neuroscience 27, no. 12 (2015): 2416–26. http://dx.doi.org/10.1162/jocn_a_00863.

Full text

Abstract:

It has been hypothesized that neural synchrony underlies perceptual coherence. The hypothesis of loss of central perceptual coherence has been proposed to be at the origin of abnormal cognition in autism spectrum disorders and Williams syndrome, a neurodevelopmental disorder linked with autism, and a clearcut model for impaired central coherence. We took advantage of this model of impaired holistic processing to test the hypothesis that loss of neural synchrony plays a separable role in visual integration using EEG and a set of experimental tasks requiring coherent integration of local element

APA, Harvard, Vancouver, ISO, and other styles

18

Henry, Kenneth S., Erikson G. Neilans, Kristina S. Abrams, Fabio Idrobo, and Laurel H. Carney. "Neural correlates of behavioral amplitude modulation sensitivity in the budgerigar midbrain." Journal of Neurophysiology 115, no. 4 (2016): 1905–16. http://dx.doi.org/10.1152/jn.01003.2015.

Full text

Abstract:

Amplitude modulation (AM) is a crucial feature of many communication signals, including speech. Whereas average discharge rates in the auditory midbrain correlate with behavioral AM sensitivity in rabbits, the neural bases of AM sensitivity in species with human-like behavioral acuity are unexplored. Here, we used parallel behavioral and neurophysiological experiments to explore the neural (midbrain) bases of AM perception in an avian speech mimic, the budgerigar ( Melopsittacus undulatus). Behavioral AM sensitivity was quantified using operant conditioning procedures. Neural AM sensitivity wa

APA, Harvard, Vancouver, ISO, and other styles

19

Chen, Chi-Ming A., Daniel H. Mathalon, Brian J. Roach, Idil Cavus, Dennis D. Spencer, and Judith M. Ford. "The Corollary Discharge in Humans Is Related to Synchronous Neural Oscillations." Journal of Cognitive Neuroscience 23, no. 10 (2011): 2892–904. http://dx.doi.org/10.1162/jocn.2010.21589.

Full text

Abstract:

How do animals distinguish between sensations coming from external sources and those resulting from their own actions? A corollary discharge system has evolved that involves the transmission of a copy of motor commands to sensory cortex, where the expected sensation is generated. Through this mechanism, sensations are tagged as coming from self, and responsiveness to them is minimized. The present study investigated whether neural phase synchrony between motor command and auditory cortical areas is related to the suppression of the auditory cortical response. We recorded electrocorticograms fr

APA, Harvard, Vancouver, ISO, and other styles

20

Skidmore, Jeffrey, Yi Yuan, and Shuman He. "Peripheral neural status and auditory temporal resolution in cochlear implant users." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A29. http://dx.doi.org/10.1121/10.0022684.

Full text

Abstract:

Auditory temporal resolution is important for understanding speech with a cochlear implant (CI). The aim of this study was to determine the relative contributions of peripheral neural synchrony and peripheral neural survival to perceptual temporal resolution in CI users. To date, study participants included 8 post-lingually deafened adult CI users. All participants used Cochlear™ Nucleus® devices in their test ears. For each implanted ear tested in each participant, auditory temporal resolution, neural synchrony, and neural survival were evaluated at multiple electrode locations along the arra

APA, Harvard, Vancouver, ISO, and other styles

21

Ma, Chao, and Yi Liu. "Neural Similarity and Synchrony among Friends." Brain Sciences 14, no. 6 (2024): 562. http://dx.doi.org/10.3390/brainsci14060562.

Full text

Abstract:

Researchers have long recognized that friends tend to exhibit behaviors that are more similar to each other than to those of non-friends. In recent years, the concept of neural similarity or neural synchrony among friends has garnered significant attention. This body of research bifurcates into two primary areas of focus: the specificity of neural similarity among friends (vs. non-friends) and the situational factors that influence neural synchrony among friends. This review synthesizes the complex findings to date, highlighting consistencies and identifying gaps in the current understanding.

APA, Harvard, Vancouver, ISO, and other styles

22

Harris, Alexander Z., and Joshua A. Gordon. "Long-Range Neural Synchrony in Behavior." Annual Review of Neuroscience 38, no. 1 (2015): 171–94. http://dx.doi.org/10.1146/annurev-neuro-071714-034111.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Pinsky, Paul F., and John Rinzel. "Synchrony measures for biological neural networks." Biological Cybernetics 73, no. 2 (1995): 129–37. http://dx.doi.org/10.1007/bf00204051.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Pinsky, Paul F., and John Rinzel. "Synchrony measures for biological neural networks." Biological Cybernetics 73, no. 2 (1995): 129–37. http://dx.doi.org/10.1007/s004220050169.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Christakos, Constantinos N. "On the Detection and Measurement of Synchrony in Neural Populations by Coherence Analysis." Journal of Neurophysiology 78, no. 6 (1997): 3453–59. http://dx.doi.org/10.1152/jn.1997.78.6.3453.

Full text

Abstract:

Christakos, Constantinos N. On the detection and measurement of synchrony in large neural populations by coherence analysis. J. Neurophysiol. 78: 3453–3459, 1997. This study considers the possibility of using coherence analysis for detection and measurement of synchrony (correlations) in large neural populations, applied to activities that are relatively easy to record in parallel. Mathematical analysis and computer simulations are used to examine the behavior of the coherence function between both unitary and population-aggregate activity (UTA coherence) and the aggregate activities of two po

APA, Harvard, Vancouver, ISO, and other styles

26

Lindemer, Emily R., and Ali Syed. "The discrimination of correlated and anti-correlated motion in the human visual system." McGill Science Undergraduate Research Journal 5, no. 1 (2010): 30–34. http://dx.doi.org/10.26443/msurj.v5i1.81.

Full text

Abstract:

   Introduction: how the brain integrates spatial and temporal information is not known. This issue is referred to as the “binding problem” of visual perception. It has been proposed that groups of neurons which correspond to the same elements of an image become synchronous in order to form a coherent neural representation; however, direct experimental evidence supporting this role for neural synchrony is highly controversial. as our perceptual capabilities are limited by the neural mechanism that supports them, an alternative approach to understanding neural synchrony is to

APA, Harvard, Vancouver, ISO, and other styles

27

Feldman, Ruth, Linda C. Mayes, and James E. Swain. "Interaction synchrony and neural circuits contribute to shared intentionality." Behavioral and Brain Sciences 28, no. 5 (2005): 697–98. http://dx.doi.org/10.1017/s0140525x0529012x.

Full text

Abstract:

In the dyadic and triadic sharing of emotions, intentions, and behaviors in families, interactive synchrony is important to the early life experiences that contribute to the development of cultural cognition. This synchrony likely depends on neurobiological circuits, currently under study with brain imaging, that involve attention, stress response, and memory.

APA, Harvard, Vancouver, ISO, and other styles

28

Wei, Xile, Kaili Si, Guosheng Yi, Jiang Wang, and Meili Lu. "Geometric properties-dependent neural synchrony modulated by extracellular subthreshold electric field." International Journal of Modern Physics B 30, no. 21 (2016): 1650142. http://dx.doi.org/10.1142/s0217979216501423.

Full text

Abstract:

In this paper, we use a reduced two-compartment neuron model to investigate the interaction between extracellular subthreshold electric field and synchrony in small world networks. It is observed that network synchronization is closely related to the strength of electric field and geometric properties of the two-compartment model. Specifically, increasing the electric field induces a gradual improvement in network synchrony, while increasing the geometric factor results in an abrupt decrease in synchronization of network. In addition, increasing electric field can make the network become synch

APA, Harvard, Vancouver, ISO, and other styles

29

Porta-Garcia, M. A., R. Valdes-Cristerna, and O. Yanez-Suarez. "Assessment of Multivariate Neural Time Series by Phase Synchrony Clustering in a Time-Frequency-Topography Representation." Computational Intelligence and Neuroscience 2018 (2018): 1–15. http://dx.doi.org/10.1155/2018/2406909.

Full text

Abstract:

Most EEG phase synchrony measures are of bivariate nature. Those that are multivariate focus on producing global indices of the synchronization state of the system. Thus, better descriptions of spatial and temporal local interactions are still in demand. A framework for characterization of phase synchrony relationships between multivariate neural time series is presented, applied either in a single epoch or over an intertrial assessment, relying on a proposed clustering algorithm, termed Multivariate Time Series Clustering by Phase Synchrony, which generates fuzzy clusters for each multivalued

APA, Harvard, Vancouver, ISO, and other styles

30

O’Sullivan-Greene, Elma, Levin Kuhlmann, Ewan S. Nurse, et al. "Probing to Observe Neural Dynamics Investigated with Networked Kuramoto Oscillators." International Journal of Neural Systems 27, no. 01 (2016): 1650038. http://dx.doi.org/10.1142/s0129065716500386.

Full text

Abstract:

The expansion of frontiers in neural engineering is dependent on the ability to track, detect and predict dynamics in neural tissue. Recent innovations to elucidate information from electrical recordings of brain dynamics, such as epileptic seizure prediction, have involved switching to an active probing paradigm using electrically evoked recordings rather than traditional passive measurements. This paper positions the advantage of probing in terms of information extraction, by using a coupled oscillator Kuramoto model to represent brain dynamics. While active probing performs better at observ

APA, Harvard, Vancouver, ISO, and other styles

31

Uhlhaas, Peter J., and Wolf Singer. "Abnormal neural oscillations and synchrony in schizophrenia." Nature Reviews Neuroscience 11, no. 2 (2010): 100–113. http://dx.doi.org/10.1038/nrn2774.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

DeLiang Wang. "Emergent synchrony in locally coupled neural oscillators." IEEE Transactions on Neural Networks 6, no. 4 (1995): 941–48. http://dx.doi.org/10.1109/72.392256.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Yamagishi, Noriko. "From neural synchrony to conscious mind: Introduction." Neuroscience Research 68 (January 2010): e23. http://dx.doi.org/10.1016/j.neures.2010.07.341.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Uhlhass, P. J. "Neural synchrony and functional disconnectivity in schizophrenia." Schizophrenia Research 98 (February 2008): 29. http://dx.doi.org/10.1016/j.schres.2007.12.060.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Uhlhaas, Peter J. "ABNORMAL NEURAL SYNCHRONY IN SCHIZOPHRENIA: A TRANSLATIONAL." Schizophrenia Research 136 (April 2012): S52—S53. http://dx.doi.org/10.1016/s0920-9964(12)70190-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Musall, Simon, Veronika von Pföstl, Alexander Rauch, Nikos K. Logothetis, and Kevin Whittingstall. "Effects of Neural Synchrony on Surface EEG." Cerebral Cortex 24, no. 4 (2012): 1045–53. http://dx.doi.org/10.1093/cercor/bhs389.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Sirovich, Lawrence, Ahmet Omurtag, and Kip Lubliner. "Dynamics of neural populations: Stability and synchrony." Network: Computation in Neural Systems 17, no. 1 (2006): 3–29. http://dx.doi.org/10.1080/09548980500421154.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Müller, Viktor, and Andrey P. Anokhin. "Neural Synchrony during Response Production and Inhibition." PLoS ONE 7, no. 6 (2012): e38931. http://dx.doi.org/10.1371/journal.pone.0038931.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Castelo-Branco, Miguel, Rainer Goebel, Sergio Neuenschwander, and Wolf Singer. "Neural synchrony correlates with surface segregation rules." Nature 405, no. 6787 (2000): 685–89. http://dx.doi.org/10.1038/35015079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Rezaei, Mohammad R., Reza Saadati Fard, Milos R. Popovic, Steven A. Prescott, and Milad Lankarany. "Synchrony-Division Neural Multiplexing: An Encoding Model." Entropy 25, no. 4 (2023): 589. http://dx.doi.org/10.3390/e25040589.

Full text

Abstract:

Cortical neurons receive mixed information from the collective spiking activities of primary sensory neurons in response to a sensory stimulus. A recent study demonstrated an abrupt increase or decrease in stimulus intensity and the stimulus intensity itself can be respectively represented by the synchronous and asynchronous spikes of S1 neurons in rats. This evidence capitalized on the ability of an ensemble of homogeneous neurons to multiplex, a coding strategy that was referred to as synchrony-division multiplexing (SDM). Although neural multiplexing can be conceived by distinct functions o

APA, Harvard, Vancouver, ISO, and other styles

41

Memelli, Heraldo, Kyle G. Horn, Larry D. Wittie, and Irene C. Solomon. "Analyzing the Effects of Gap Junction Blockade on Neural Synchrony via a Motoneuron Network Computational Model." Computational Intelligence and Neuroscience 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/575129.

Full text

Abstract:

In specific regions of the central nervous system (CNS), gap junctions have been shown to participate in neuronal synchrony. Amongst the CNS regions identified, some populations of brainstem motoneurons are known to be coupled by gap junctions. The application of various gap junction blockers to these motoneuron populations, however, has led to mixed results regarding their synchronous firing behavior, with some studies reporting a decrease in synchrony while others surprisingly find an increase in synchrony. To address this discrepancy, we employ a neuronal network model of Hodgkin-Huxley-sty

APA, Harvard, Vancouver, ISO, and other styles

42

Verguts, Tom. "Binding by Random Bursts: A Computational Model of Cognitive Control." Journal of Cognitive Neuroscience 29, no. 6 (2017): 1103–18. http://dx.doi.org/10.1162/jocn_a_01117.

Full text

Abstract:

A neural synchrony model of cognitive control is proposed. It construes cognitive control as a higher-level action to synchronize lower-level brain areas. Here, a controller prefrontal area (medial frontal cortex) can synchronize two cortical processing areas. The synchrony is achieved by a random theta frequency-locked neural burst sent to both areas. The choice of areas that receive this burst is determined by lateral frontal cortex. As a result of this synchrony, communication between the two areas becomes more efficient. The model is tested on the classical Stroop cognitive control task, a

APA, Harvard, Vancouver, ISO, and other styles

43

Khalil, Alexander, Gabriella Musacchia, and John Rehner Iversen. "It Takes Two: Interpersonal Neural Synchrony Is Increased after Musical Interaction." Brain Sciences 12, no. 3 (2022): 409. http://dx.doi.org/10.3390/brainsci12030409.

Full text

Abstract:

Music’s deeply interpersonal nature suggests that music-derived neuroplasticity relates to interpersonal temporal dynamics, or synchrony. Interpersonal neural synchrony (INS) has been found to correlate with increased behavioral synchrony during social interactions and may represent mechanisms that support them. As social interactions often do not have clearly delineated boundaries, and many start and stop intermittently, we hypothesize that a neural signature of INS may be detectable following an interaction. The present study aimed to investigate this hypothesis using a pre-post paradigm, me

APA, Harvard, Vancouver, ISO, and other styles

44

Franz, Elizabeth A., James C. Eliassen, Richard B. Ivry, and Michael S. Gazzaniga. "Dissociation of Spatial and Temporal Coupling in the Bimanual Movements of Callosotomy Patients." Psychological Science 7, no. 5 (1996): 306–10. http://dx.doi.org/10.1111/j.1467-9280.1996.tb00379.x.

Full text

Abstract:

The neural mechanisms of limb coordination were investigated by testing callosotomy patients and normal control subjects on bimanual movements Normal subjects produced deviations in the trajectories when spatial demands for the two hands were different, despite temporal synchrony in the onset of bimanual movements Callosotomy patients did not produce spatial deviations, although their hands moved with normal temporal synchrony Normal subjects but not callosotomy patients exhibited large increases in planning and execution time for movements with different spatial demands for the two hands rela

APA, Harvard, Vancouver, ISO, and other styles

45

Grossberg, Stephen. "Principles of cortical synchronization." Behavioral and Brain Sciences 20, no. 4 (1997): 689–90. http://dx.doi.org/10.1017/s0140525x97281604.

Full text

Abstract:

Functional roles for cortical synchronization in self-organizing neural networks are described. These properties are best understood by models that link brain to behavior. Synchrony can express itself differently in cortical circuits that perform different behavioral tasks. Cortical temporal properties that seem inexplicable by synchrony are also mentioned.

APA, Harvard, Vancouver, ISO, and other styles

46

Ma, Zhen. "Reachability Analysis of Neural Masses and Seizure Control Based on Combination Convolutional Neural Network." International Journal of Neural Systems 30, no. 01 (2019): 1950023. http://dx.doi.org/10.1142/s0129065719500230.

Full text

Abstract:

Epileptic seizures arise from synchronous firing of multiple spatially separated neural masses; therefore, many synchrony measures are used for seizure detection and characterization. However, synchrony measures reflect only the overall interaction strength among populations of neurons but cannot reveal the coupling strengths among individual populations, which is more important for seizure control. The concepts of reachability and reachable cluster were proposed to denote the coupling strengths of a set of neural masses. Here, we describe a seizure control method based on coupling strengths u

APA, Harvard, Vancouver, ISO, and other styles

47

Riecansky, I., T. Kasparek, J. Rehulova, S. Katina, and R. Prikyl. "Visual evoked responses to a gamma-frequency flicker are enhanced in acute schizophrenia." European Psychiatry 26, S2 (2011): 1494. http://dx.doi.org/10.1016/s0924-9338(11)73198-4.

Full text

Abstract:

Disturbances of visual perception, such as illusions and hallucinations, are a hallmark of psychotic disorders. In perceptual processes, synchronous neuronal activity in gamma frequencies (> 30 Hz) is considered to play a major role. Steady-state visual evoked potentials (ssVEP) allow for testing the ability of the visual cortex to support synchronous neural responses to periodically flickering light. We employed photic stimulation at 40 Hz in order to specifically drive cortical gamma synchrony. In acute schizophrenia patients, compared to healthy control subjects, we found significantly i

APA, Harvard, Vancouver, ISO, and other styles

48

Hickey, Paige, Annie Barnett-Young, Aniruddh D. Patel, and Elizabeth Race. "Environmental rhythms orchestrate neural activity at multiple stages of processing during memory encoding: Evidence from event-related potentials." PLOS ONE 15, no. 11 (2020): e0234668. http://dx.doi.org/10.1371/journal.pone.0234668.

Full text

Abstract:

Accumulating evidence suggests that rhythmic temporal structures in the environment influence memory formation. For example, stimuli that appear in synchrony with the beat of background, environmental rhythms are better remembered than stimuli that appear out-of-synchrony with the beat. This rhythmic modulation of memory has been linked to entrained neural oscillations which are proposed to act as a mechanism of selective attention that prioritize processing of events that coincide with the beat. However, it is currently unclear whether rhythm influences memory formation by influencing early (

APA, Harvard, Vancouver, ISO, and other styles

49

Ibáñez-Molina, Antonio José, Sergio Iglesias-Parro, and Javier Escudero. "Differential Effects of Simulated Cortical Network Lesions on Synchrony and EEG Complexity." International Journal of Neural Systems 29, no. 04 (2019): 1850024. http://dx.doi.org/10.1142/s0129065718500247.

Full text

Abstract:

Brain function has been proposed to arise as a result of the coordinated activity between distributed brain areas. An important issue in the study of brain activity is the characterization of the synchrony among these areas and the resulting complexity of the system. However, the variety of ways to define and, hence, measure brain synchrony and complexity has sometimes led to inconsistent results. Here, we study the relationship between synchrony and commonly used complexity estimators of electroencephalogram (EEG) activity and we explore how simulated lesions in anatomically based cortical ne

APA, Harvard, Vancouver, ISO, and other styles

50

Tikidji-Hamburyan, Ruben A., Conrad A. Leonik, and Carmen C. Canavier. "Phase response theory explains cluster formation in sparsely but strongly connected inhibitory neural networks and effects of jitter due to sparse connectivity." Journal of Neurophysiology 121, no. 4 (2019): 1125–42. http://dx.doi.org/10.1152/jn.00728.2018.

Full text

Abstract:

We show how to predict whether a neural network will exhibit global synchrony (a one-cluster state) or a two-cluster state based on the assumption of pulsatile coupling and critically dependent upon the phase response curve (PRC) generated by the appropriate perturbation from a partner cluster. Our results hold for a monotonically increasing (meaning longer delays as the phase increases) PRC, which likely characterizes inhibitory fast-spiking basket and cortical low-threshold-spiking interneurons in response to strong inhibition. Conduction delays stabilize synchrony for this PRC shape, wherea

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!