Plasticity-Driven Self-Organization under Topological Constraints Accounts for Non-random Features of Cortical Synaptic Wiring

Understanding the structure and dynamics of cortical connectivity is vital to understanding cortical function. Experimental data strongly suggest that local recurrent connectivity in the cortex is significantly non-random, exhibiting, for example, above-chance bidirectionality and an overrepresentation of certain triangular motifs. Additional evidence suggests a significant distance dependency to connectivity over a local scale of a few hundred microns, and particular patterns of synaptic turnover dynamics, including a heavy-tailed distribution of synaptic efficacies, a power law distribution of synaptic lifetimes, and a tendency for stronger synapses to be more stable over time. Understanding how many of these non-random features simultaneously arise would provide valuable insights into the development and function of the cortex. While previous work has modeled some of the individual features of local cortical wiring, there is no model that begins to comprehensively account for all of them. We present a spiking network model of a rodent Layer 5 cortical slice which, via the interactions of a few simple biologically motivated intrinsic, synaptic, and structural plasticity mechanisms, qualitatively reproduces these non-random effects when combined with simple topological constraints. Our model suggests that mechanisms of self-organization arising from a small number of plasticity rules provide a parsimonious explanation for numerous experimentally observed non-random features of recurrent cortical wiring. Interestingly, similar mechanisms have been shown to endow recurrent networks with powerful learning abilities, suggesting that these mechanism are central to understanding both structure and function of cortical synaptic wiring.     

Quantal Characteristics of Synaptic GABA Release under Conditions of Stimulation of Single Synaptic Terminals of Cultured Cortical Cells of the Rat

We studied evoked inhibitory postsynaptic currents (eIPSC) using local electrical stimulation of single presynaptic terminals of cultured rat neocortical neurons. According to pharmacological and kinetic properties, these currents were qualified as GABA_A-activated. Using autocorrelation analysis of distributions of the eIPSC amplitudes, which were in all cases polymodal, we examined quantal characteristics of the above eIPSC. These results were compared with the values of quantal parameters (N, p, Q, and m) of the current families obtained using approximation by binomial distribution. Amplitude histograms of spontaneous miniature IPSC recorded under conditions of the minimum quantal release of the neurotransmitter were normal (close to Gaussian) with the mode within a 10 pA range, which is very close to analogous parameters calculated using autocorrelation and binomial techniques.     

A Three-Dimensional Computer Simulation Model Reveals the Mechanisms for Self-Organization of Plant Cortical Microtubules into Oblique Arrays

The noncentrosomal cortical microtubules (CMTs) of plant cells self-organize into a parallel three-dimensional (3D) array that is oriented transverse to the cell elongation axis in wild-type plants and is oblique in some of the mutants that show twisted growth. To study the mechanisms of CMT array organization, we developed a 3D computer simulation model based on experimentally observed properties of CMTs. Our computer model accurately mimics transverse array organization and other fundamental properties of CMTs observed in rapidly elongating wild-type cells as well as the defective CMT phenotypes observed in the Arabidopsis mor1-1 and fra2 mutants. We found that CMT interactions, boundary conditions, and the bundling cutoff angle impact the rate and extent of CMT organization, whereas branch-form CMT nucleation did not significantly impact the rate of CMT organization but was necessary to generate polarity during CMT organization. We also found that the dynamic instability parameters from twisted growth mutants were not sufficient to generate oblique CMT arrays. Instead, we found that parameters regulating branch-form CMT nucleation and boundary conditions at the end walls are important for forming oblique CMT arrays. Together, our computer model provides new mechanistic insights into how plant CMTs self-organize into specific 3D arrangements.     

Correction to: Psoralidin Stimulates Expression of Immediate-Early Genes and Synapse Development in Primary Cortical Neurons

Neurochemical Research - The original version of this article unfortunately contained a mistake. The funding information was incorrect in the Acknowledgement section of this article. The corrected...