Sentence examples for behavior of single neurons from inspiring English sources

Both tonic inhibition and asynchronous GABA release are known to modulate the input output behavior of single neurons and have a protective role in epilepsy (Jiang et al. 2012; Walker and Kullmann 2012).

More detailed analyses, such as eliciting a behavior through the excitation of single neurons, remains elusive but may be resolved by MARCM techniques or development of a library of GAL80 repressors.

We therefore examined paired-pulse behavior at the level of single neurons of somatosensory cortex by studying cortical responsiveness to a second cutaneous stimulus applied at different ISIs in young and aged rats.

Moreover the changes associated with a specific behavior can be mapped back to the level of single neurons, thus providing access to molecular and biochemical mechanisms of basic neuronal functions at single-neuron resolution.

It is not uncommon to find the firing rate of single neurons uncorrelated with the averaged behavior of the local population; however, this is not always the case [27].

Since these neurons are part of circuitries involved in different behaviors, our results suggest that as in the case of single neurons, different neural circuitries could also age differently and may directly contribute to the specific neuronal correlates of aging.

The vast majority of studies aimed at understanding the behavior of neurons during learning have only recorded the activity of single neurons.

Analysing the intermediate or mesoscopic level of organization in such systems is a crucial step in understanding how micro-level activity of single neurons and their interactions eventually result in macro-level behavior of the organism [1].

In a previous report, we compared the discrimination capacity of single neurons calculated in a fixed response epoch for morphed photographic images to behavior with those same images during the sessions in which the neurons were recorded (Liu and Jagadeesh 2008).

As reported recently, the activation of single neurons may strongly impact the activity of a large neural network and even behavior [11], [12].

Gain modulation can be measured at the level of single neurons and may play a fundamental role in the control of numerous behaviors (for a review see Salinas and Sejnowski, 2001).