Sentence examples for neuron neurons from inspiring English sources

Word stemming algorithms from Snowball (http://snowball.tartarus.org) were also applied to all tokens so that morphologically similar words sharing the same root (e.g. "neuron", "neurons", "neuronal") were collapsed into one ("neuron").

Each line is a single neuron; neurons from all rats are combined.

Using dissociated dorsal root ganglion (DRG) neurons from rat - some identified as cutaneous afferents - and a combination of pharmacological blockade of K currents and addition of Na currents with dynamic clamp, they demonstrate criticality and degeneracy in neuron neurons in the transition studied.

(b) 'Raster plot' for a splay state in a network of N = 100 neurons: neuron indices are reported as a function of firing times.

Typical directionally tuned responses from three example neurons (Neuron 1 and Neuron 2 from M3R, Neuron 3 from M4R) illustrate single labeled cells that were scanned at high magnification, each with a significant modulation, as confirmed by the regression coefficients.

We can intuitively see that if only one neuron, neuron n, has a high characteristic variance, then it acts like the single-neuron integrator as (g_{[n]}) approaches N, and neuron n dominates the global feedback signal.

A representative neuron (neuron 4L-II) is illustrated in Fig.  14.

We observed sense and antisense foci in distinct neurons (neurons 1 and 2, Fig.  6f), distinct sense and antisense foci co-occurring within the same neuron (neuron 3, Fig.  6f), and co-localisation of sense and antisense foci (Fig.  6h).

Since the discovery, in the mid-nineties, of "mirror neurons"—neurons that fire in our brains both when we perform an action ourselves and when we see an action performed by someone else the neuroscience of empathy has become clearer.

Furthermore, thalamic inputs can also gain access to basal ganglia output nuclei via subthalamo-pallidal projecting neurons, neurons receiving glutamatergic thalamo-subthalamic projections.

These architectures are different from the classical ones; each layer of network contains different models of neurons, neurons can take four models by configuration of VSMN.