• Corpus ID: 9143358

Impact of exponential long range and Gaussian short range lateral connectivity on the distributed simulation of neural networks including up to 30 billion synapses

@article{Pastorelli2015ImpactOE,
  title={Impact of exponential long range and Gaussian short range lateral connectivity on the distributed simulation of neural networks including up to 30 billion synapses},
  author={Elena Pastorelli and Pier Stanislao Paolucci and Roberto Ammendola and Andrea Biagioni and Ottorino Frezza and Francesca Lo Cicero and Alessandro Lonardo and Michele Martinelli and Francesco Simula and Piero Vicini},
  journal={ArXiv},
  year={2015},
  volume={abs/1512.05264}
}
Recent experimental neuroscience studies are pointing out the role of long-range intra-areal connectivity that can be modeled by a distance dependent exponential decay of the synaptic probability distribution. This short report provides a preliminary measure of the impact of exponentially decaying lateral connectivity compared to that of shorter-range Gaussian decays on the scaling behaviour and memory occupation of a distributed spiking neural network simulator (DPSNN). Two-dimensional grids… 
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References

SHOWING 1-10 OF 19 REFERENCES

Scaling to 1024 software processes and hardware cores of the distributed simulation of a spiking neural network including up to 20G synapses

This short report describes the scaling, up to 1024 software processes and hardware cores, of a distributed simulator of plastic spiking neural networks and lays the groundwork for a more thorough comparison with the neural simulation tool NEST.

Spiking network simulation code for petascale computers

It is shown that the novel architecture presented here scales to the largest petascale supercomputers available today, and quantitatively discusses the performance on two supercomputing systems.

Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses

The main impact of the new approach is a drastic reduction of the computational load incurred upon introduction of dynamic synaptic efficacies, which vary organically as a function of the activities of the pre- and postsynaptic neurons.

The fractions of short- and long-range connections in the visual cortex

It is found that electrophysiological studies conducted in tissue sections may significantly underestimate the extent of cortical connectivity; for example, for some projections, the reported probabilities of finding connected nearby neuron pairs in slices could understate the in vivo probabilities.

Physiology and Impact of Horizontal Connections in Rat Neocortex.

The estimates of the spatial distribution of cells presynaptic to L5B pyramids support the idea that the majority is located outside the local volume, and implement the data into a spiking neuronal network model shows that more horizontal connections promote robust asynchronous ongoing activity states and reduce noise correlations in stimulus-induced activity.

Diverse population-bursting modes of adapting spiking neurons.

Two different population-bursting regimes emerge, depending on the level of SFA in networks with noisy emission rate, due to the finite number of neurons, in networks as an effective nonlinear two-dimensional system.

Beyond the Cortical Column: Abundance and Physiology of Horizontal Connections Imply a Strong Role for Inputs from the Surround

Recent findings on the signal integration from horizontal inputs are discussed, showing that they could serve as a substrate for reliable and temporally precise signal propagation.

Quantitative aspects of corticocortical connections: a tracer study in the mouse.

Small injections of the anterograde tracer biotinylated dextran amine to various regions of the mouse cortex provided neuroanatomical data relevant to models and simulations of the propagation of activity over the cortex.

A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: depolarizing and hyperpolarizing components

A novel slow oscillation in intracellular recordings from cortical association areas 5 and 7, motor areas 4 and 6, and visual areas 17 and 18 of cats under various anesthetics is described and synchronous inhibitory periods in both neurons are demonstrated.

Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores

This short note regards a comparison of instantaneous power, total energy consumption, execution time and energetic cost per synaptic event of a spiking neural network simulator (DPSNN-STDP)