The ONS principal projection assumes that they will come into balance in the course of the next six years.
Moreover, at first sight, the dendrites of its principal projection neurons, i.e., the medium-sized spiny projection neurons (MSN) appear to have a much less clearly ordered geometry than the cortical pyramidal neurons.
In addition to principal projection neurons, distinct interneuron populations within the BLA can also potently regulate fear memory formation and fear coding (Wolff et al., 2014), indicating that both inhibitory and excitatory synaptic transmission within this region regulates fear-related behavior and learning.
So we now assume that net migration flows will tend towards 165,000 in the long term, consistent with the ONS principal population projections.
Three principal orthographic projections and their distribution matrices are computed by exploiting the object reference frame.
The greatest number of AP+ neuronal cell bodies were found in a contiguous zone encompassing the substantia nigra pars reticulata and the ventral tegmental area and extending caudally as far as the pedunculopontine tegmental nucleus, nuclei that give rise to the principal dopaminergic projections to the forebrain (Figure 5G J).
(I ) Principal component projections for the four clusters depicted in H. (J ) ISI histograms for the units shown in H and I. Unit b was classified as 'multi-unit' due to significant violations of the refractory period.
Single-and multi-units were classified by spike shape, separation of principal component projections, and the presence or absence of a refractory period between successive spikes – I don't understand this for multi units.
The text now reads: "Single units were classified from multi-unit activity based on spike shape, separation of principal component projections, and the presence or absence of a refractory period between successive spikes".
Concordance between clusters, assessed by conventional statistical techniques (principal component projections and boxplots) and two automated methods (an artificial neural network and a rule-extraction approach) were used to characterise these classes.
