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Role of three key developmental variables in the emergence of long-range temporal correlations in a network of spiking neurons without plasticity

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Neuronal avalanches in cortical slice cultures display statistical properties expected from a network operating at “criticality”, i.e., an optimal state for input processing [1]. It has been suggested that balanced excitation and inhibition establishes criticality, and that this state is homeostatically regulated during development [2]. Here, we systematically characterized the behavior of a network of spiking neurons without plasticity when exploring three key variables of development: ratio of excitatory to inhibitory synaptic connections, range of excitatory conduction delays, number of synaptic connections.

We simulated a network of 1000 randomly connected neurons, with a variable ratio of excitatory neurons to inhibitory neurons (N E / N I ). There were k outgoing synaptic connections per neuron, and no self-connections. The synaptic weights were fixed throughout. Inhibitory neurons only connected to excitatory neurons. Conduction delays were drawn from a uniform distribution [1,d max ]ms for excitatory neurons, fixed for inhibitory neurons (1ms). Each neuron was governed by Izhikevich’s approximation of a Hodgkin-Huxley-type neuronal model [3] such that excitatory neurons approximated cortical pyramidal neurons exhibiting regular spiking firing patterns and inhibitory neurons corresponded to cortical interneurons exhibiting fast spiking firing patterns. The network was jump-started at t=0 by a single large injection of current.

The activity of the network was characterized in terms of (i) the presence of sustained activity, (ii) the presence of LRTCs as assessed by detrended fluctuation analysis [4] of the average activity of the network. Figure 1 shows the different regimes obtained when systematically exploring the parameter space.

Figure 1
figure1

Regimes as a function of excitation/inhibition ratio, range of conduction delays and number of synapses.

Consistently with predictions, non-trivial scaling exponents were only observed in a narrow range of ratio of excitation to inhibition. Deviations from this range either led to extinction of the activity or a regime largely dominated by fast-spiking oscillations (saturated regime). These results can be interpreted within the framework of branching processes, with LRTCs occurring when the branching parameter σ~1, extinction when σ<1 and indefinite propagation of activity in the form of saturated oscillations when σ>1.

References

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    Shew W, Yang H, Petermann T, Roy R, Plenz D: Neuronal avalanches imply maximum dynamic range in cortical networks at criticality. J Neurosci. 2009, 29 (49): 15595-600. 10.1523/JNEUROSCI.3864-09.2009.

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    Stewart C, Plenz D: Homeostasis of neuronal avalanches during postnatal cortex development in vitro. J Neurosci Methods. 2008, 169 (2): 405-416. 10.1016/j.jneumeth.2007.10.021.

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    Izhikevich E: Simple model of spiking neurons. IEEE Trans Neural Netw. 2003, 14 (6): 1569-1572. 10.1109/TNN.2003.820440.

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    Peng C, Havlin S, Stanley H, Goldberger A: Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos. 1995, 5: 82-7. 10.1063/1.166141.

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Correspondence to Luc Berthouze.

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Ward, N., Farmer, S.F. & Berthouze, L. Role of three key developmental variables in the emergence of long-range temporal correlations in a network of spiking neurons without plasticity. BMC Neurosci 11, P29 (2010) doi:10.1186/1471-2202-11-S1-P29

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Keywords

  • Synaptic Connection
  • Inhibitory Neuron
  • Detrended Fluctuation Analysis
  • Excitatory Neuron
  • Conduction Delay