Role Of Neuronal Oscillations Research Articles

The noise-resilient brain: Resting-state oscillatory activity predicts words-in-noise recognition

The role of neuronal oscillations in the processing of speech has recently come to prominence. Since resting-state (RS) brain activity has been shown to predict both task-related brain activation and behavioural performance, we set out to establish whether inter-individual differences in spectrally-resolved RS-MEG power are associated with variations in words-in-noise recognition in a sample of 88 participants made available by the Human Connectome Project. Positive associations with resilience to noise were observed with power in the range 21 and 29 Hz in a number of areas along the left temporal gyrus and temporo-parietal association areas peaking in left posterior superior temporal gyrus (pSTG). Significant associations were also found in the right posterior superior temporal gyrus in the frequency range 30–40 Hz. We propose that individual differences in words-in-noise performance are related to baseline excitability levels of the neural substrates of phonological processing.

The Role of Neuronal Oscillations in Visual Active Sensing.

Visual perception is most often studied as a “passive” process in which an observer fixates steadily at point in space so that stimuli can be delivered to the system with spatial precision. Analysis of neuronal signals related to vision is generally keyed to stimulus onset, stimulus movement, etc.; i.e., events external to the observer. In natural “active” vision, however, information is systematically acquired by using eye movements including rapid (saccadic) eye movements, as well as smooth ocular pursuit of moving objects and slower drifts. Here we consider the use of alternating saccades and fixations to gather information from a visual scene. The underlying motor sampling plan contains highly reliable information regarding “where” and “when” the eyes will land, this information can be used predictively to modify firing properties of neurons precisely at the time when this “contextual” information is most useful – when a volley of retinal input enters the system at the onset of each fixation. Analyses focusing on neural events leading to and resulting from shifts in fixation, as well as visual events external to the observer, can provide a more complete and mechanistic understanding of visual information processing. Studies thus far suggest that active vision may be a fundamentally different from that process we usually study with more traditional passive viewing paradigms. In this Perspective we note that active saccadic sampling behavior imposes robust temporal patterning on the activity of neuron ensembles and large-scale neural dynamics throughout the brain’s visual pathways whose mechanistic effects on information processing are not yet fully understood. The spatio-temporal sequence of eye movements elicits a succession of temporally predictable quasi-rhythmic sensory inputs, whose encoding is enhanced by entrainment of low frequency oscillations to the rate of eye movements. Review of the pertinent findings underscores the fact that temporal coordination between motor and visual cortices is critical for understanding neural dynamics of active vision and posits that phase entrainment of neuronal oscillations plays a mechanistic role in this process.

Static Magnetic Field Stimulation over Parietal Cortex Enhances Somatosensory Detection in Humans.

The role of neuronal oscillations in human somatosensory perception is currently unclear. To address this, here we use noninvasive brain stimulation to artificially modulate cortical network dynamics in the context of neurophysiological and behavioral recordings. We demonstrate that transcranial static magnetic field stimulation (tSMS) over the somatosensory parietal cortex increases oscillatory power specifically in the alpha range, without significantly affecting bottom-up thalamocortical inputs indexed by the early cortical component of somatosensory evoked potentials. Critically, we next show that parietal tSMS enhances the detection of near-threshold somatosensory stimuli. Interestingly, this behavioral improvement reflects a decrease of habituation to somatosensation. Our data therefore provide causal evidence that somatosensory perception depends on parietal alpha activity.SIGNIFICANCE STATEMENT Artificially increasing alpha power by placing a powerful magnetic field over the somatosensory cortex overcomes the natural decline in detection probability of a repeated near-threshold sensory stimulus.

Visual deviant stimuli produce mismatch responses in the amplitude dynamics of neuronal oscillations

ObjectivesAuditory and visual deviant stimuli evoke mismatch negativity (MMN) responses, which can be recorded with electroencephalography (EEG) and magnetoencephalography (MEG). However, little is known about the role of neuronal oscillations in encoding of rare stimuli. We aimed at verifying the existence of a mechanism for the detection of deviant visual stimuli on the basis of oscillatory responses, so-called visual mismatch oscillatory response (vMOR). MethodsPeripheral visual stimuli in an oddball paradigm, standard vs. deviant (7:1), were presented to twenty healthy subjects. The oscillatory responses to an infrequent change in the direction of moving peripheral stimuli were recorded with a 60-channel EEG system. In order to enhance the detection of oscillatory responses, we used the common spatial pattern (CSP) algorithm, designed for the optimal extraction of changes in the amplitude of oscillations. ResultsBoth standard and deviant visual stimuli produced Event-Related Desynchronization (ERD) and Synchronization (ERS) primarily in the occipito–parietal cortical areas. ERD and ERS had overlapping time-courses and peaked at about 500–730 ms. These oscillatory responses, however, were significantly stronger for the deviant than for the standard stimuli. A difference between the oscillatory responses to deviant and standard stimuli thus reflects the presence of vMOR. ConclusionsThe present study shows that the detection of visual deviant stimuli can be reflected in both synchronization and desynchronization of neuronal oscillations. This broadens our knowledge about the brain mechanisms encoding deviant sensory stimuli.

10. Central physiology of dystonia – Insights from deep brain recordings

The pathophysiology of dystonia is not fully understood, and pathological findings are evident at the cortical, brainstem and basal ganglia levels of the motor and sensory network. Deep brain stimulation (DBS) of the globus pallidus internus is a highly effective treatment in patients with dystonia. However, the mechanism is still not entirely understood. One hypothesis is that DBS suppresses abnormally enhanced synchronized oscillatory activity within the motor cortico – basal ganglia network. Several electrophysiological studies in patients undergoing DBS for movement disorders have revealed evidence for disease-specific oscillatory patterns of neuronal basal ganglia activity that may act as a noisy disruptive signal disturbing both local and distant neuronal network functioning causing characteristic movement disorders. In patients with dystonia, increasing evidence suggests that neuronal activity in the basal ganglia is characterized by enhanced synchronized oscillations in the low frequency band (4–12 Hz). Such synchronization correlates and is coherent with EMG activity during involuntary (mainly phasic) dystonic muscle contractions, suggesting that it may contribute to the pathophysiology of dystonia. Pallidal low frequency activity significantly drives EMG of the affected muscles, increases during involuntary movements and correlates with the strength of the muscle spasms. In my presentation, I will discuss the role of neuronal oscillations in the basal ganglia for the pathophysiology of dystonia. I will show most recent findings from our group in dystonia patients undergoing DBS using a specially designed amplifier allowing simultaneous high frequency stimulation (HFS) at therapeutic parameter settings and neuronal recordings. Here, HFS led to a significant reduction of mean power in the 4–12 Hz band by 24.8 ± 7.0% in patients with predominantly phasic dystonia. Our findings suggest that HFS may suppress pathologically enhanced low frequency activity in patients with phasic dystonia. These dystonic features are the quickest to respond to HFS and may thus directly relate to modulation of pathological basal ganglia activity, whereas improvement in tonic features may depend on long-term plastic changes within the motor network.

Fast oscillatory dynamics during language comprehension: Unification versus maintenance and prediction?

The role of neuronal oscillations during language comprehension is not yet well understood. In this paper we review and reinterpret the functional roles of beta- and gamma-band oscillatory activity during language comprehension at the sentence and discourse level. We discuss the evidence in favor of a role for beta and gamma in unification (the unification hypothesis), and in light of mounting evidence that cannot be accounted for under this hypothesis, we explore an alternative proposal linking beta and gamma oscillations to maintenance and prediction (respectively) during language comprehension. Our maintenance/prediction hypothesis is able to account for most of the findings that are currently available relating beta and gamma oscillations to language comprehension, and is in good agreement with other proposals about the roles of beta and gamma in domain-general cognitive processing. In conclusion we discuss proposals for further testing and comparing the prediction and unification hypotheses.

Neuronal Oscillations in Golgi Cells and Purkinje Cells are Accompanied by Decreases in Shannon Information Entropy

Neuronal oscillations have been shown to contribute to the function of the cerebral cortex by coordinating the neuronal activities of distant cortical regions via a temporal synchronization of neuronal discharge patterns. This can occur regardless whether these regions are linked by cortico-cortical pathways or not. Less is known concerning the role of neuronal oscillations in the cerebellum. Golgi cells and Purkinje cells are both principal cell types in the cerebellum. Purkinje cells are the sole output cells of the cerebellar cortex while Golgi cells contribute to information processing at the input stage of the cerebellar cortex. Both cell types have large cell bodies, as well as dendritic structures, that can generate large currents. The discharge patterns of both these cell types also exhibit oscillations. In view of the massive afferent information conveyed by the mossy fiber-granule cell system to different and distant areas of the cerebellar cortex, it is relevant to inquire the role of cerebellar neuronal oscillations in information processing. In this study, we compared the discharge patterns of Golgi cells and Purkinje cells in conscious rats and in rats anesthetized with urethane. We assessed neuronal oscillations by analyzing the regularity in the timing of individual spikes within a spike train by using autocorrelograms and fast-Fourier transform. We measured the differences in neuronal oscillations and the amount of information content in a spike train (defined by Shannon entropy processed per unit time) in rats under anesthesia and in conscious, awake rats. Our findings indicated that anesthesia caused more prominent neuronal oscillations in both Golgi cells and Purkinje cells accompanied by decreases in Shannon information entropy in their spike trains.

The theta-syllable: a unit of speech information defined by cortical function

A recent commentary (Oscillators and syllables: a cautionary note. Cummins, 2012) questions the validity of a class of speech perception models inspired by the possible role of neuronal oscillations in decoding speech (e.g., Ghitza, 2011; Giraud and Poeppel, 2012). In arguing against the approach, Cummins raises a cautionary flag “from a phonetician's point of view.” Here we respond to his arguments from an auditory processing viewpoint, referring to a phenomenological model of Ghitza (2011) taken as a representative of the criticized approach. We shall conclude by proposing the theta-syllable as an information unit defined by cortical function—an alternative to the conventional, ambiguously defined syllable. In the large context, the resulting discussion debate should be viewed as a subtext of acoustic and auditory phonetics vs. articulatory and motor theories of speech reception.

Neuronal oscillations and speech perception: critical-band temporal envelopes are the essence

A recent opinion article (Neural oscillations in speech: do not be enslaved by the envelope. Obleser et al., 2012) questions the validity of a class of speech perception models inspired by the possible role of neuronal oscillations in decoding speech (e.g., Ghitza, 2011; Giraud and Poeppel, 2012). The authors criticize, in particular, what they see as an over-emphasis of the role of temporal speech envelope information, and an over-emphasis of entrainment to the input rhythm while neglecting the role of top-down processes in modulating the entrainment of neuronal oscillations. Here we respond to these arguments, referring to the phenomenological model of Ghitza (2011), taken as a representative of the criticized approach.

Oscillatory mechanism of auditory stream segregation in primary auditory cortex

Event Abstract Back to Event Oscillatory mechanism of auditory stream segregation in primary auditory cortex Peter Lakatos1*, Noelle OConnell1, Arnaud Falchier1 and Charles E. Schroeder1 1 Nathan Kline Institute for Psychiatric Research, Cognitive Neuroscience and Schizophrenia Program, United States Earlier studies show that neuronal oscillations reflecting rhythmic excitability fluctuations of neuronal ensembles can track rhythmic stimulus streams by entraining to their temporal structure. When stimuli are most likely to occur, neuronal ensembles are consistently in high excitability phases resulting in an amplification of neuronal responses to events. At the same time, entrained oscillations also serve as temporal filters, in that their low excitability phases suppress neuronal responses to events that are "out of phase" with the attended stream. In theory, this makes entrained oscillations ideal candidates to separate attended rhythmic streams from the background in complex auditory scenes. We examined laminar profiles of synaptic activity and action potentials obtained through multielectrode recordings in monkey A1. We presented two concurrent streams of pure tones that differed in their rhythm and frequency. Subjects responded to deviants in only one of the streams, while ignoring deviants in the other. We found that neuronal oscillations across A1 entrained to the rhythm of the attended stream, even in regions whose best frequency (BF) matched that of pure tones in the ignored stream. We also found that entrainment was frequency specific: if the frequency of pure tones in the attended stream corresponded to the BF of a given A1 region, oscillations entrained with their high, while outside this region oscillations entrained with their low excitability phases. This indicates that entrained oscillations across A1 act as a complex spectral-temporal filter mechanism, making them ideal candidates for the segregation of relevant rhythmic auditory stimulus streams along arguably the most fundamental organizing dimensions in auditory processing, frequency and time. Keywords: auditory processing, neuronal oscillations Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Symposium: Oral Presentation Topic: Symposium 3: The role of neuronal oscillations in computation and communication in multi-scale brain networks Citation: Lakatos P, OConnell N, Falchier A and Schroeder CE (2011). Oscillatory mechanism of auditory stream segregation in primary auditory cortex. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00021 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 04 Nov 2011; Published Online: 15 Nov 2011. * Correspondence: Dr. Peter Lakatos, Nathan Kline Institute for Psychiatric Research, Cognitive Neuroscience and Schizophrenia Program, Orangeburg, NY, 10962, United States, plakatos@nki.rfmh.org Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Peter Lakatos Noelle OConnell Arnaud Falchier Charles E Schroeder Google Peter Lakatos Noelle OConnell Arnaud Falchier Charles E Schroeder Google Scholar Peter Lakatos Noelle OConnell Arnaud Falchier Charles E Schroeder PubMed Peter Lakatos Noelle OConnell Arnaud Falchier Charles E Schroeder Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

The role of neuronal oscillations in computation and communication in multi-scale brain networks

The role of neuronal oscillations in computation and communication in multi-scale brain networks

Interareal directed interactions and their modulation by selective attention assessed with high density electrocorticography in monkey

Event Abstract Back to Event Interareal directed interactions and their modulation by selective attention assessed with high density electrocorticography in monkey Andre Bastos1, 2*, Pascal Fries2, 3, Robert Oostenveld2, Jan-Mathijs Schoffelen2 and Conrado A. Bosman2 1 University of California at Davis, United States 2 Donders Institute, Radboud University Nijmegen, Netherlands 3 Ernst Strüngmann Institute in Cooperation with Max Planck Society, Germany Behaviorally relevant stimuli are processed in visual cortex at the expense of irrelevant ones. The selection of relevant stimuli and the allocation of selective attention require parietal and frontal regions. Yet, it is not fully understood how these areas convey their selection to visual areas. The selection needs to flexibly implement appropriate patterns of interactions in visual cortex. Such flexible interactions might be subserved by flexible patterns of neuronal synchronization. To test this possibility, we trained two monkeys to perform a selective attention task. During fixation, two gratings were presented in the two hemifields. On a given trial, one of them was the behaviorally relevant target. We recorded local field potentials with a subdural electrocorticography (ECoG) grid that contained 252 electrodes, spaced at 2-3 mm, covering large expanses of the left hemisphere from V1 through V4, parietal and central cortex up to frontal eye field (FEF). Coherence and Granger Causality analyses revealed networks with spatially and spectrally distinct synchronization patterns. Areas V1 and V4 were synchronized in the gamma-frequency band (50-90 Hz) and this interaction was almost unidirectional from V1 to V4. Attention to a contralateral stimulus enhanced this feedforward gamma-band influence. Parietal cortex was synchronized with both V4 and with FEF in the beta frequency band. Between parietal cortex and V4, this interaction was predominantly from parietal to V4. For many V4-parietal electrode pairs, selective attention modulated and often enhanced the interaction. We propose that these two spatially and spectrally segregated networks interact to coordinate executive signals from the parietal and prefrontal cortices with perceptual processing in visual cortex Keywords: electrocorticography, neuronal oscillations Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Symposium: Oral Presentation Topic: Symposium 3: The role of neuronal oscillations in computation and communication in multi-scale brain networks Citation: Bastos A, Fries P, Oostenveld R, Schoffelen J and Bosman CA (2011). Interareal directed interactions and their modulation by selective attention assessed with high density electrocorticography in monkey. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00023 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 09 Nov 2011; Published Online: 15 Nov 2011. * Correspondence: Dr. Andre Bastos, University of California at Davis, Davis, United States, andrembastos@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Andre Bastos Pascal Fries Robert Oostenveld Jan-Mathijs Schoffelen Conrado A Bosman Google Andre Bastos Pascal Fries Robert Oostenveld Jan-Mathijs Schoffelen Conrado A Bosman Google Scholar Andre Bastos Pascal Fries Robert Oostenveld Jan-Mathijs Schoffelen Conrado A Bosman PubMed Andre Bastos Pascal Fries Robert Oostenveld Jan-Mathijs Schoffelen Conrado A Bosman Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Do different frequencies of gamma rhythms regulate memory processing in the brain?

Event Abstract Back to Event Do different frequencies of gamma rhythms regulate memory processing in the brain? Laura L. Colgin1*, Hiroshi Ito1, May-Britt Moser2 and Edvard I. Moser2 1 Center for Learning and Memory, University of Texas at Austin, United States 2 Centre for the Biology of Memory/Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Norway Our brains are composed of billions of cells that somehow coordinate their activity to generate our perceptions of the world around us and our memories of past experiences. One way in which cells are thought to achieve this is by periodically synchronizing their electrical activity to produce brain rhythms. Gamma rhythms are a particular class of rhythms that occur throughout many regions of the brain, and their occurrence has been linked to functions such as sensory perception, attention, and memory. Gamma rhythms vary tremendously in frequency (from ~25 Hz to nearly 150 Hz) from one brain region to another and also within a given brain region from one moment to the next. The exact frequency of rhythms is important because different areas will communicate most effectively when the timing of their rhythms is the same. We recently discovered evidence in freely behaving rats that gamma frequency variations have functional significance in the hippocampus, a brain region critically involved in memory operations. Slow gamma (~40 Hz) rhythms synchronize hippocampal subregion CA1 with neighboring subfield CA3, an area required for memory retrieval. Fast gamma (~100 Hz) rhythms couple CA1 to the entorhinal cortex, a region that provides information about the current environment. We propose that slow gamma rhythms may facilitate internal channels of information such as memories of past experiences and that fast gamma rhythms may be involved in focusing attention on the external world during encoding of sensory information. Separation of these two streams of information using different gamma frequencies may help distinguish present experiences from memories of the past. Keywords: Gamma rhythms, neuronal oscillations Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Symposium: Oral Presentation Topic: Symposium 3: The role of neuronal oscillations in computation and communication in multi-scale brain networks Citation: Colgin LL, Ito H, Moser M and Moser EI (2011). Do different frequencies of gamma rhythms regulate memory processing in the brain?. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00022 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 09 Nov 2011; Published Online: 15 Nov 2011. * Correspondence: Dr. Laura L Colgin, Center for Learning and Memory, University of Texas at Austin, Texas, United States, colgin@mail.clm.utexas.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Laura L Colgin Hiroshi Ito May-Britt Moser Edvard I Moser Google Laura L Colgin Hiroshi Ito May-Britt Moser Edvard I Moser Google Scholar Laura L Colgin Hiroshi Ito May-Britt Moser Edvard I Moser PubMed Laura L Colgin Hiroshi Ito May-Britt Moser Edvard I Moser Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies

Event Abstract Back to Event Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies Ryan T. Canolty1*, Karunesh Ganguly1, Steven W. Kennerley1, Charles F. Cadieu11, Kilian Koepsell1 and Jose M. Carmena1 1 Helen Wills Neuroscience Institute, University of California at Berkeley, United States Hebb proposed that neuronal cell assemblies are critical for effective perception, cognition, and action. However, evidence for brain mechanisms that coordinate multiple coactive assemblies remains lacking. Neuronal oscillations have been suggested as one possible mechanism for cell assembly coordination. Prior studies have shown that spike timing depends upon local field potential (LFP) phase proximal to the cell body, but few studies have examined the dependence of spiking on distal LFP phases in other brain areas far from the neuron, or the influence of LFP-LFP phase coupling between distal areas on spiking. We investigated these interactions by recording LFPs and single unit activity using multiple microelectrode arrays in several brain areas, and then used a novel probabilistic multivariate phase distribution to model the dependence of spike timing on the full pattern of proximal LFP phases, distal LFP phases, and LFP-LFP phase coupling between electrodes. We show that spiking activity in single neurons and neuronal ensembles depends on dynamic patterns of oscillatory phase coupling between multiple brain areas, in addition to the effects of proximal LFP phase. Neurons that prefer similar patterns of phase coupling exhibit similar changes in spike rates, while neurons with different preferences show divergent responses – providing a basic mechanism to bind different neurons together into coordinated cell assemblies. Surprisingly, phase-coupling-based rate correlations are independent of inter-neuron distance. Phase-coupling preferences correlate with behavior and neural function, and remain stable over multiple days. These findings suggest that neuronal oscillations enable selective and dynamic control of distributed functional cell assemblies. Keywords: LFP, neuronal oscillations Conference: XI International Conference on Cognitive Neuroscience (ICON XI), Palma, Mallorca, Spain, 25 Sep - 29 Sep, 2011. Presentation Type: Symposium: Oral Presentation Topic: Symposium 3: The role of neuronal oscillations in computation and communication in multi-scale brain networks Citation: Canolty RT, Ganguly K, Kennerley SW, Cadieu1 CF, Koepsell K and Carmena JM (2011). Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI). doi: 10.3389/conf.fnhum.2011.207.00024 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 09 Nov 2011; Published Online: 15 Nov 2011. * Correspondence: Dr. Ryan T Canolty, Helen Wills Neuroscience Institute, University of California at Berkeley, California, United States, rcanolty@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Ryan T Canolty Karunesh Ganguly Steven W Kennerley Charles F Cadieu1 Kilian Koepsell Jose M Carmena Google Ryan T Canolty Karunesh Ganguly Steven W Kennerley Charles F Cadieu1 Kilian Koepsell Jose M Carmena Google Scholar Ryan T Canolty Karunesh Ganguly Steven W Kennerley Charles F Cadieu1 Kilian Koepsell Jose M Carmena PubMed Ryan T Canolty Karunesh Ganguly Steven W Kennerley Charles F Cadieu1 Kilian Koepsell Jose M Carmena Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

PW5-1 The role of neuronal oscillations in local computation and long-range communication

PW5-1 The role of neuronal oscillations in local computation and long-range communication

The role of neuronal oscillations for subjective perception of tactile simultaneity

The role of neuronal oscillations for subjective perception of tactile simultaneity

Motor cortical network oscillations driven by voltage‐ and ligand‐gated currents

Motor cortical network oscillations driven by voltage‐ and ligand‐gated currents