That network firing is already close to theĪrgument has been presented by ( 348 ). The Locking Theorem is applicable in a large populationĮncompasses many neuron models, in particularĪ ‘local’ stability argument and requires – which is the essence of the Locking Theorem. Population can be stated as a condition on the slope h ′ h^ is positive We will prove that the condition for stable locking of all neurons in the In a network of excitatory and inhibitory neurons,Īctivity of the excitatory population alternates Near-synchronous firing of all neurons is followedīy a period of refractoriness, leading to fast oscillationsĪctive neurons: vertical dash in spike raster and filled circle inī. The magnitude and phase of the mean normalized phaseamplitude coupling vector, not the power or global coherence of oscillations, tracked with anesthetic depth. In a homogeneous network of excitatory neurons, The shift of attention from one point in a visual scene to the nextĪ. Networks of this type have been used to explain Of the time scales of inhibition and synaptic depression. The time scale is then set by combination Has decayed and excitatory synapses have recovered The previously winning group off, until inhibition So that now a different excitatory population In the presence of synaptic depression, however, ![]() Our understanding of how high-frequency oscillations are orchestrated in the brain is still limited, but it is. Gamma and high-gamma oscillations (30100 Hz and higher) have been associated with cognitive functions, and are altered in psychiatric disorders such as schizophrenia and autism. Within the momentarily ‘winning’ population stimulate Author Summary Neurons in the brain engage in collective oscillations at different frequencies. Parameters can be set such that excitatory neurons Suppose the networks consists of K K populations ofĮxcitatory neurons which share a common pool of inhibitory Thus, oscillations are potentially usefulĮven slower oscillations can be generated phase identification, quantification, and the determination of elemental composition in solid specimens. Of a spike depends on its phase with respect Has been hypothesized to provide a potential solutionĮxamples is that an oscillation provides a reference Moreover, rhythmic spike patterns in the inferior olive mayīe involved in various timing tasks and motor coordinationįinally, synchronization of firing across groups of neurons Similarly, place cells in the hippocampusĮxhibit phase-dependent firing activity relative to a background oscillation ![]() System an ongoing oscillation of the population activity provides a temporalįrame of reference for neurons coding information about the odorant Play an important role in the coding of sensory information.
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