Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention

Fries, Pascal; Reynolds, John H.; Rorie, Alan E.; Desimone, Robert

doi:10.1126/science.1055465

Cited by 2,542 publications

(2,211 citation statements)

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“…ART also predicted that matching synchronizes the firing patterns of cells coding matched stimuli and thereby facilitates fast stable learning (cf., Engel et al, 2001;Fries et al, 2001;Grossberg, 1976Grossberg, , 1980Grossberg, , 1999Pollen, 1999;Usrey, 2002). SMART further develops that proposal to include spiking neurons and the role of the higher-order specific and nonspecific thalamic nuclei.…”

Section: 21mentioning

confidence: 99%

Spikes, synchrony, and attentive learning by laminar thalamocortical circuits

2008

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Section: 21mentioning

confidence: 99%

Spikes, synchrony, and attentive learning by laminar thalamocortical circuits

2008

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“…In vivo studies have also revealed evidence for phase locking in the neocortex 57 . In cortical area V4, the correlation in the gamma frequency range between spike trains and the LFP near the recorded neuron increased during attention 56,57 . Similarly, in a behavioural task in which a monkey had to hold a stimulus in working memory 68 , locking of spikes to the theta oscillation was increased in response to a neuron's preferred stimulus compared with a non-preferred stimulus, independent of changes in the neuron's firing rate.…”

Section: Evidence For Phase Locking In Vivomentioning

confidence: 99%

“…Electroencephalograms (EEGs) recorded from the human scalp exhibit superposed rhythms in various frequency ranges, including the delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-30 Hz) and gamma (30-80 Hz) ranges 54 . The strength of these rhythms changes over time and depends on behavioural states and cognitive processes [55][56][57] . The rhythms arise from large-scale, coherent firing of neurons.…”

Section: The Contribution Of Cortical Oscillations To Precisionmentioning

confidence: 99%

Regulation of spike timing in visual cortical circuits

2008

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A train of action potentials (a spike train) can carry information in both the average firing rate and the pattern of spikes in the train. But can such a spike-pattern code be supported by cortical circuits? Neurons in vitro produce a spike pattern in response to the injection of a fluctuating current. However, cortical neurons in vivo are modulated by local oscillatory neuronal activity and by top-down inputs. In a cortical circuit, precise spike patterns thus reflect the interaction between internally generated activity and sensory information encoded by input spike trains. We review the evidence for precise and reliable spike timing in the cortex and discuss its computational role.Reliability and precision are two different quantities. When you make an appointment with your friend, she can either keep the appointment or not show up at all. If she does show up, she might or might not be on time. The former uncertainty is related to reliability, whereas the latter is related to precision. When the same stimulus waveform is repeatedly injected at the soma of a neuron in vitro (FIG. 1a), a similar spike train is obtained on each trial 1,2 (FIG. 1b). When approximately the same number of spikes occur on each trial the neuron is said to be reliable, whereas when the spikes occur almost at the same time across trials it is said to be precise (FIG. 1c). For a single neuron, the potential information content of precise and reliable spike times is many times larger than that which is contained in the firing rate, which is averaged across a typical interval of a hundred milliseconds [3][4][5][6] . The information contained in spike timing is available immediately, rather than after an averaging period. Furthermore, the timing of patterns of spikes can potentially transmit even more information than the timing of the individual constituent spikes 3,7 . The potential relevance of spike patterns becomes apparent when we consider neurons at the population level: when a group of similar neurons (a 'pool') produces precise and reliable spike trains, the neurons they project to receive volleys of synchronous spikes 8,9 . This opens up the possibility of communicating between different cortical areas through synchronous spike volleys.In contrast to the in vitro situation described above, in the intact cortex most excitatory synaptic inputs arrive at the dendrites rather than at the soma (FIG. 1d), and synaptic transmission is typically unreliable [10][11][12][13] . Furthermore, most of these dendritic inputs are not directly related to ongoing sensory stimulation; rather, they reflect spatiotemporally structured internal activity. Therefore, when the same stimulus is presented repeatedly, the resulting spike trains are usually neither precise nor reliable when they are aligned to the stimulus onset 6 . Instead, HHMI Author ManuscriptHHMI Author Manuscript HHMI Author Manuscript neural activity in vivo might be dominated by internally generated complex reverberations or rhythmic oscillations, and precise and reliable sp...

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“…Cortical gamma-band activity in general has been found to be involved in many cortical processes (Tallon-Baudry, 2009;Fries, 2009), and might serve as a mechanism for efficient neuronal communication and processing (Fries, 2005). Gamma activity has been related to important brain functions such as visual (Hoogenboom et al, 2006) and tactile processing (Bauer et al, 2006), memory (Jensen et al, 2007;van der Werf et al, 2008), attention (Fries et al, 2001), and motor control (Schoffelen et al, 2005). Behaviorally, the strength of gamma correlates with reaction times (Womelsdorf et al, 2006;Hoogenboom et al, 2010).…”

Section: Eccentricity Effectmentioning

confidence: 99%

“…Gamma-band synchronization is observed during visual (Hoogenboom et al, 2006;Muthukumaraswamy et al, 2009), somatosensory (Bauer et al, 2006), and auditory (Brosch et al, 2002) stimulation; it is involved in memory processes (Fell et al, 2001;Howard et al, 2003) and motor control (Brown et al, 1998;Schoffelen et al, 2005). It is enhanced during attention (Fries et al, 2001;Bosman et al, 2012), and its moment-by-moment fluctuations predict the behavioral benefits of attention (Womelsdorf et al, 2006;Hoogenboom et al, 2010). Gamma synchronization is also affected in cognitive disorders, notably schizophrenia, with patients showing lower gamma power than healthy controls (see Uhlhaas and Singer (2010), for a review).…”

Section: Introductionmentioning

confidence: 99%