Sentence examples for decay of connection from inspiring English sources

Exact(1)

This result is to be expected, since the forgetting mechanism of fastviz fastviz corresponds closely to the exponential decay of connection weights.

Similar(59)

This, together with the data of Alonso et al (2001) on the decay of both the probability of connection and synaptic strength with distance (their Fig 4 and 5), guided our selection of σconn and σsyn to be ≈0.2 mm, implying that the Gaussian function falls to 4% of its peak at 0.5 mm.

We provide a model that allows for a transition between the simplest variation of two basic models of strategic network formation: Bala and Goyal's one-way flow model without decay, where links can be unilaterally formed, and a version without decay of Jackson and Wolinsky's connections model based on bilateral formation of links.

The results show the connection of the decay of these s-numbers with the entropy (and in this way with the dimension) of X.

The construction of the book and the subject matter of the poem within it share a metaphorical connection in the decay of memory.

Refractions of connection".

We used anatomical data from Binzegger et al. (2004) to specify the numbers of connections between neuron groups, and a 2D Gaussian spatial profile to model the decay in connection probability with increasing distance from a presynaptic neuron (Hellwig 2000).

The region of the H-C HMQC spectrum shown in Figure 7 that includes several Ile resonances arising from the connection' and RH' domains shows the same time-dependent decay of the RH' Ile434 C and Ile521 C resonances in parallel with increases in the intensities of the connection' Ile329 C and Ile375 C resonances in the study using the palm loop deletion.

Numerous studies have proved the connections between the corporal punishment and the aggressive and violent behaviour, decay of mental health and other health-related issues at the later stages.

An aspect of the decay of ritual in the modern West is the tendency for dance to lose its close and direct connection with the life of the community.

If the convergence can result from local processing within IT, what is the contribution of network interactions, that is, of dynamical attractor states determined by the structure of recurrent connections in IT? Or, could the convergence reflect, in part, simple firing rate decay of individual IT neurons, expressed as a gradual decay, rather than network dynamics?

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