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Review
. 2006 Feb 8;26(6):1673-6.
doi: 10.1523/JNEUROSCI.3737-05d.2006.

Network oscillations: emerging computational principles

Terrence J Sejnowski  1 , Ole Paulsen
Affiliations
Review

Network oscillations: emerging computational principles

Terrence J Sejnowski et al. J Neurosci. .
No abstract available

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Figures

Figure 1.
Figure 1.
Attentional modulation of spike-field coherence in visual cortex. A monkey fixates the spot in the top right corner of the visual field and is cued (green spotlight) to attend to one of the two stimuli, one of which is in the receptive field of a neuron in cortical visual area V4 (red outline). The panels on the right show the degree of coherence (color coded) between the spike times of the neuron and the local field potential in the beta (13–30 Hz) and gamma (30–80 Hz) bands, aligned to the time of the color change of the stimulus in the receptive field. In the top panels, the color change is in the target stimulus (where attention is directed), and the monkey releases the bar for a reward. The motor response occurs ∼320 ms after the color change. There is no motor response in the bottom panels because the color change is in the distracter stimulus: the monkey must continue to hold the bar until the target stimulus changes color. The gratings come on the screen up to 5 s before the color change happens. There is very little coherence in these bands in the prestimulus period. Modified from Buffalo et al. (2004).
Figure 2.
Figure 2.
Gain is regulated by synchrony. A Hodgkin-Huxley model cortical neuron (red) receives tuned excitatory input I from neurons (green) in an earlier stage of processing and 40 Hz oscillatory inhibitory inputs from local interneurons (blue). The timing of the inhibitory input spikes, σinh, is jittered by 4–10 ms. The firing rate versus input current plots are shown in the right panel for different values of the jitter. As the jitter is decreased from 10 to 4 ms, the gain of the responses to the excitatory inputs are increased by factor of 10. The amount of jitter can be regulated by top-down excitatory inputs or by neuromodulation. Modified from Tiesinga et al. (2004).
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