Sentence examples for most excitatory inputs from inspiring English sources

Measurements of input resistance or conductance, generally carried out at the soma, may not properly examine their effect on inputs, since most excitatory inputs are located in spines which are electrically isolated from the dendritic shaft [28].

In the central nervous system, most excitatory inputs are formed on dendritic spines.

By comparing the average convergence and divergence with the neuronal densities of the different cell populations (Supplementary Fig. 4), we find that neurons in the local microcircuit sample most excitatory inputs from L2/3 and fewest from L5 and L6.

Dendritic spines on pyramidal cells are the recipients of most excitatory inputs to the cerebral cortex (DeFelipe and Fariñas, 1992) and thus, the loss of dendritic spines indicates a synaptic disconnection that must certainly have an important consequence in the cognitive attributes of the patients with Alzheimer's disease.

LIV represented the most prominent source of excitatory inputs onto supragranular pyramidal neurons (Figs.  2b, c, 7a).

As most of the excitatory input synapses to ganglion cells are from bipolar cells, most of the PSD95 puncta should be in close proximity to synaptic ribbons which in the inner retina are unique markers of bipolar cell vesicle release sites.

These are highly labile structures [56] receiving most of the excitatory input on spiny neurons in the brain [57].

Most of the excitatory input synapses to ganglion cells from bipolar cells are mediated by aminomethylphosphonic acid (AMPA -type glutAMPA -typeptors that have proximity relationships with PSD95 in their dendrites [14]; the puncta of PSD95-glutamated be localized at synaptic sites.

Subject Categories Genetics, Gene Therapy & Genetic Disease Neuroscience Alterationss in dendritic spines, protrusions at the postsynaptic membrane that receive most of the excitatory input in the central nervous system (Yuste ' Tank, 1996), have been related to many cognitive disorders (Carlisle ' Kennedy, 2005).

A neuron would apply a Hebbian plasticity rule to select those excitatory inputs that are the most closely correlated with reward but are the least predictable, since unpredictable inputs provide the neuron with the most "new" information about future reward.

However, excitatory inputs from this layer revealed the most prominent differences between the neuronal networks in lower, middle and upper LII/III (Figs.  7a, 8c).