21 research outputs found
Frequency distribution of the azimuthal and polar angles of the orientation of axonal and dendritic segments among 100 NETMORPH-generated neurons.
No full text<p>A superimposed sine curve shows the slight skewness of the polar angle distribution.</p
Heat map of the logarithm of the estimated morpho-density in Figures 2, for small values of the radius and height .
No full textEstimated number of potential synapses between the axonal arbor of one L2/3 pyramidal neuron and the dendritic arbor of another when the latter is horizontally displaced by microns and vertically displaced by microns, based on formula (3), assuming uniformly distributed segment orientations.
No full textVariability of estimates using (5).
No full text<p>Variability in the estimation of the expected number of potential synapses at 14 different displacements using the formula (5) based on axonal and dendritic templates created from 9 different sets consisting of 10 generated L2/3 pyramidal neurons each. Values given are mean, standard deviation, minimum and maximum of for indicated displacement .</p
Local and global efficiency.
No full text<p>Local and global efficiency values of the generated network consisting of 2000 neurons, placed in a cylinder of the indicated radius and height. The right-most column shows the cost values of the networks.</p
Overlap between the axonal and dendritic morpho-density fields when the soma center of the latter is displaced from that of the former by .
No full textThe estimated morpho-density for the axonal arbors near the neural soma with respect to the radius and the height (both in microns), with and , from two perspectives.
No full text<p>Note the different scales for the radius and height axes.</p
Estimated number of potential synapses between the axonal arbor of one L2/3 pyramidal neuron and the dendritic arbor of another when the latter is horizontally displaced by microns and vertically displaced by microns, based on formula (5), using actual segment orientations.
No full textEstimated standard deviations for based on sparse data of varying sample size for displacement .
No full text
