Sentence examples for neuron interactions from inspiring English sources

For edge discovery problem, Papalexakis et al. leverage control theory to model the dynamics of neuron interactions and infer the functional connectivity [23].

Keeping track of the differences between these states allows the brain to mark time, the team showed in a computer model that replicates neuron interactions.

where n is the number of neurons in the network, γ ∈ R is a damping factor of neuron self-oscillations, m ∈ Z + is a delay in the damping process of neuron self-oscillations, k ∈ Z + is a delay in the neuron interactions ( k ⩾ m ).

Considering the role the dynamic activity of radial glial endfeet play in interneuronal migration, neuronal positioning deficits noticed in these mutant mice, in part, may have resulted from altered radial glial endfeet-migrating neuron interactions.

To model covariance of the noise among neurons, point process methods must model neuron interactions, which further increase their computational cost or approximation, while neuron noise covariance is included in the basic Kalman filter.

PDGF-B chain together with expression of PDGFR- β can widely exert a neurotrophic or regulatory activity on neurons in an autocrine manner or by neuron to neuron interactions in the brain [ 83].

These advancements facilitate studies of neuron interaction and plasticity in primate species.

It is expressed in neurons in the adult cerebral cortex and hippocampus and on oligodendrocytes, and is involved in neuronal migration/glial cell-neuron interactions during CNS development, as well as oligodendrocyte maturation/myelination [ 25].

Whether secreted miRNAs in astrocytic MVs are involved in PD pathogenesis is still unknown; therefore it is important to investigate the potential role of MVs in astrocyte-neuron interactions in PD.

In this paper, we concentrate on an extension of (2), called "generalized Integrate-and-Fire" (gIF), introduced in [31], closer to biology [33, 34], since it considers more seriously neurons interactions via synaptic responses.

There are two sources of excitation in the network, neuron-to-neuron interactions and background spontaneous activity.