Sentence examples for brain scaling from inspiring English sources

Because synaptic activity is considered the major determinant of metabolic cost, a conserved energy budget per neuron has several profound implications for synaptic homeostasis and the regulation of firing rates, synaptic plasticity, brain imaging, pathologies, and for brain scaling in evolution.

In our view, it is not brain size, but rather absolute number of neurons, that imposes a metabolic constraint upon brain scaling in evolution, as individuals with increasing numbers of neurons must be able to sustain their proportionately larger metabolic requirements to keep their brain functional.

After correcting for the effects of prematurity and removing volume change due to individual differences in global brain scaling, DBM revealed significant volumetric covariance between the thalamus and subcortical cerebral tissue (Fig. 5; FDR-corrected P < 0.001, minimum t-statistic = 3.25).

This paper reviews models of seizures and epilepsy at different scales, including cellular, network, cortical region, and brain scales by looking at how they have been used in conjunction with experimental data.

These prior contributions inspired the exploration of whether/how sparse representation can be used to identify functional networks in a voxel-wise way and on the whole brain scale.

To investigate how the metabolic cost of the brain scales with brain size and whether the metabolic cost per neuron increases with neuronal size, it is necessary to examine how total energy consumption relates to the number of neurons in different brains.

In this way, mammals whose brain scales with economical neuronal scaling rules, such as primates, have a large number of brain neurons for a given body size, and would accordingly be expected to have a larger relative brain metabolic rate than other mammals, such as rodents, which have a smaller number of brain neurons for a same body or brain size [24], [25].

From these data one can find that the total mitochondrial surface area in brain scales with brain mass with an exponent of 0.86, i.e., exactly as in Figure 1.

This study attempted to take the first steps in this direction, by studying global and regional in vivo brain metabolic scaling.

We formulated a general model to elucidate the key factors that correlate with brain enlargement, and the origin of allometric body-brain size scaling.

That's the only way we'll ever do a cubic millimetre of brain and scale up to do the entire brain.