Sentence examples for the recurrent interaction from inspiring English sources

Exact(2)

Kumaran, D. & McClelland, J. L. Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system.

Hence, L6 is perfectly located to form the recurrent interaction between J6/6a and P3 (Waldsich et al, 2002; Adams et al, 2004a; Golden et al, 2005) using A-minor interactions (Doherty et al, 2001; Nissen et al, 2001) between A residues from L6 and two consecutive G=C pairs from P3 in the shallow/minor groove.

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This enables the discovery of recurrent interaction patterns that are present in multiple coexpression networks.

If, however, appearances of surface material change during recurrent interaction (while keeping the shape registered) the apparent surface property should stay more prolonged depending on whether it is transparent and changes into opaque or whether it is opaque and smoothly changes into transparent.

Recurrent innervation of primary cortex by higher levels leads to recurrent interaction between regions that can further increase the salience of grouped stimuli.

To the extent that recurrent interactions rely on the amplification of coherent activity across distributed sets of neurons, the scrambling of phases operated by the OFF-periods at each node may critically impair the emergence of large-scale cortical integration55.

We account for these findings by incorporating a recurrent interaction mechanism between model areas V1 and V2.

Network motifs are recurrent interaction patterns, which are significantly more often encountered in biological interaction graphs than expected from random nets.

When we have strong recurrent interaction, as in cortex, intrinsic excitability learning needs to adjust activation functions relative to each other, e.g., to ensure optimal distribution of activation functions.

These patterns are triggered by input from connected populations and evolve continuously in time under the influence of recurrent interactions.

Sensory systems use gain control to adapt and optimize responses so that they can then be successfully integrated at higher levels of the visual system via recurrent interactions between areas.

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