Cell Type: Neocortex fast spiking (FS) interneuron

  1. A single column thalamocortical network model (Traub et al 2005)
  2. ACnet23 primary auditory cortex model (Beeman et al 2019)
  3. Alpha rhythm in vitro visual cortex (Traub et al 2020)
  4. Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
  5. Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
  6. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
  7. Computational Surgery (Lytton et al. 2011)
  8. Cortical model with reinforcement learning drives realistic virtual arm (Dura-Bernal et al 2015)
  9. Deconstruction of cortical evoked potentials generated by subthalamic DBS (Kumaravelu et al 2018)
  10. Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
  11. Electrodecrements in in vitro model of infantile spasms (Traub et al 2020)
  12. Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
  13. Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
  14. Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
  15. Extraction and classification of three cortical neuron types (Mensi et al. 2012)
  16. Fast-spiking cortical interneuron (Golomb et al. 2007)
  17. Gamma and theta rythms in biophysical models of hippocampus circuits (Kopell et al. 2011)
  18. Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
  19. Knox implementation of Destexhe 1998 spike and wave oscillation model (Knox et al 2018)
  20. Large cortex model with map-based neurons (Rulkov et al 2004)
  21. Large scale neocortical model for PGENESIS (Crone et al 2019)
  22. Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
  23. Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
  24. MultiScale Optimized Neuronal Intramembrane Cavitation (SONIC) model (Lemaire et al. 2019)
  25. Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
  26. Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
  27. Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
  28. Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
  29. Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
  30. Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)
  31. Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
  32. Reinforcement learning of targeted movement (Chadderdon et al. 2012)
  33. Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
  34. Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
  35. Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
  36. Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
  37. Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
  38. The origin of different spike and wave-like events (Hall et al 2017)
  39. Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015)
  40. Wang-Buzsaki Interneuron (Talathi et al., 2010)
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