Emergent Oscillations in Networks of Stochastic Spiking Neurons
2011

Emergent Oscillations in Networks of Stochastic Spiking Neurons

Sample size: 1000 publication 10 minutes Evidence: moderate

Author Information

Author(s): Wallace Edward, Benayoun Marc, van Drongelen Wim, Cowan Jack D.

Primary Institution: University of Chicago

Hypothesis

How do stochastic spiking neurons in networks produce emergent oscillations?

Conclusion

The study reveals that networks of stochastic spiking neurons can produce gamma band oscillations despite individual neurons not oscillating.

Supporting Evidence

  • Networks of neurons can produce diverse oscillation patterns.
  • Gamma band oscillations can emerge from networks of non-oscillating neurons.
  • Oscillations persist in sparsely connected networks.

Takeaway

This study shows that groups of neurons can work together to create rhythms, even if each neuron acts randomly and doesn't have a rhythm on its own.

Methodology

The study used a stochastic model of individual neurons as two-state Markov processes to analyze network dynamics.

Limitations

The model does not account for delays in synaptic transmission, which may affect oscillatory behavior in larger networks.

Digital Object Identifier (DOI)

10.1371/journal.pone.0014804

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