Sentence examples for capabilities of neurons from inspiring English sources

However, the context-dependent computational capabilities of neurons might be better understood when all the intrinsic neuronal processes that influence its excitability are taken into account, and represented in a dynamical system framework.

Combined with the discovery of spike timing dependent plasticity, these findings have sparked growing interest in the capabilities of neurons to encode and decode spike timing based neural representations.

Traditionally the detection capabilities of neurons have been assessed by observing how their output changes as a function of their input.

The different migratory capabilities of neurons in knockout mice or mice carrying natural mutations may be caused by cell-intrinsic factors other than the primary mutation, which should affect all pyramidal cells.

Degraded successive-stimulus masking inhibitory mechanisms were associated with a reduced capability of neurons to follow higher-rate repetitive stimuli.

The comparison between the HDE trajectories arising from different input histories quantifies the intrinsic discrimination capabilities of single neurons, and their dependence upon the input statistics and the neuronal dynamics.

The learning and generalization capabilities of these neurons are verified through various three-dimensional transformations and time series predictions as benchmark problems.

As repetition rates increased phase-locking capabilities of A1 neurons were strongly reduced.

However, extrinsic regulators may also influence neuritogenic processes: distinct target-derived cues can specifically elicit either elongating or arborizing patterns in developing axons [13] [16], whereas transient environmental signals irreversibly modify the intrinsic growth capabilities of central neurons [17], [18].

It is possible that the polyneuronal innervation of zebrafish muscle or the regenerative capabilities of zebrafish neurons prevent the onset of motor symptoms at a younger age (Fleisch et al., 2011).

This framework allows us to compare the context-dependent processing capabilities of different neuron types.