Models implemented by Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org]

  1. Boolean network-based analysis of the apoptosis network (Mai and Liu 2009)
  2. CA3 Network Model of Epileptic Activity (Sanjay et. al, 2015)
  3. Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
  4. Computer models of corticospinal neurons replicate in vitro dynamics (Neymotin et al. 2017)
  5. Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
  6. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
  7. Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
  8. Hopfield and Brody model (Hopfield, Brody 2000) (NEURON+python)
  9. Ih tunes oscillations in an In Silico CA3 model (Neymotin et al. 2013)
  10. Ketamine disrupts theta modulation of gamma in a computer model of hippocampus (Neymotin et al 2011)
  11. Measuring neuronal identification quality in ensemble recordings (isoitools) (Neymotin et al. 2011)
  12. Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
  13. Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
  14. NEURON interfaces to MySQL and the SPUD feature extraction algorithm (Neymotin et al. 2008)
  15. Neuronal dendrite calcium wave model (Neymotin et al, 2015)
  16. Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
  17. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
  18. Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
  19. Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
  20. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
  21. The virtual slice setup (Lytton et al. 2008)
Top implemented concepts:

Top implemented neurons:

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