Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)


This mechanism is not temperature dependent.

Reused in 11 other models:

  • Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007)
  • JitCon: Just in time connectivity for large spiking networks (Lytton et al. 2008)
  • The virtual slice setup (Lytton et al. 2008)
  • Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
  • Computational Surgery (Lytton et al. 2011)
  • Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
  • Reinforcement learning of targeted movement (Chadderdon et al. 2012)
  • Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
  • Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
  • Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
  • Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
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