Sentence examples for most sensitive neurons from inspiring English sources

Using a Monte Carlo procedure, we varied 1) the duration of the spike count window, 2) the number of most sensitive neurons picked to compose the pool, 3) the pool size, and 4) the animal's expectation, that is, the prior ratio.

Across experimental conditions 1a and b, we found that the model robustly fitted the free parameters at optimal pool size of 10 neurons, the usage of the 3 most sensitive neurons (located at a depth of 930 1325 µm), and a prior ratio of 7.6.

Taken together these data may explain why Purkinje cells are one of the most ischemia sensitive neurons in the brain despite lacking NMDA receptors, and why neurosteroids that enhance GABAA receptor function protect Purkinje cells against transient episodes of global brain ischemia.

The most informative part of the tuning function for estimating the sensory stimulus is a region offset from the peak, i.e. the neurons most sensitive to the stimulus are not the ones with the highest firing rate (Paradiso 1988; Seung and Sompolinsky 1993; Dayan and Abbott 2001).

Receptors from the soma of autonomic ganglion neurons are most sensitive to cytisine, followed by DMPP and ACh [4], [23], [24], a sequence that is not reproduced by rat subunits expressed in oocytes, and is seen only in a fraction of stably transfected fibroblasts [4], [6].

Calcitonin gene-related peptide-reactive submucosal neurons are most sensitive to loss of NT-3/TrkC signaling.

In contrast, rNRTP neurons are most sensitive to eye acceleration (Ono et al. 2005).

Physiological forward suppression is usually maximal for conditioner tones near to a unit's characteristic frequency (CF), the frequency to which a neuron is most sensitive.

Unit response lags the onset of target motion by 98 ms and leads onset of eye motion by 2 ms. Examination of Figure 5 B - g indicates that the neuron is most sensitive to eye velocity during step-ramp tracking, with significantly smaller contributions from eye position, eye acceleration, and retinal error components.

Each neuron has a characteristic frequency to which it is most sensitive, and the response of the neuron is largely determined by the spectrum and level of the incoming sound.

These proteins show widespread and overlapping patterns of expression in the brain and yet the diseases are distinguished by neurodegeneration in a specific subset of neurons that are most sensitive to the mutation.