Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity

@article{Fiete2010SpikeTimeDependentPA,
  title={Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity},
  author={Ila R. Fiete and Walter Senn and Claude Zi-Hao Wang and Richard Hans Robert Hahnloser},
  journal={Neuron},
  year={2010},
  volume={65},
  pages={563-576}
}
Sequential neural activity patterns are as ubiquitous as the outputs they drive, which include motor gestures and sequential cognitive processes. Neural sequences are long, compared to the activation durations of participating neurons, and sequence coding is sparse. Numerous studies demonstrate that spike-time-dependent plasticity (STDP), the primary known mechanism for temporal order learning in neurons, cannot organize networks to generate long sequences, raising the question of how such… Expand

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