Model Type: Neural mass

  1. A bistable model of Spike-Wave seizure and background activity (Taylor et al. 2014)
  2. A cortical sheet mesoscopic model for investigating focal seizure onset dynamics (Wang et al. 2014)
  3. A model of working memory for encoding multiple items (Ursino et al, in press)
  4. A Neural mass computational model of the Thalamocorticothalamic circuitry (Bhattacharya et al. 2011)
  5. A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
  6. A neural mass model of cross frequency coupling (Chehelcheraghi et al 2017)
  7. A spatially extended model for macroscopic spike-wave discharges (Taylor and Baier 2011)
  8. Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018)
  9. Basal ganglia-corticothalamic (BGCT) network (Chen et al., 2014)
  10. Biologically Constrained Basal Ganglia model (BCBG model) (Lienard, Girard 2014)
  11. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
  12. Disinhibitory circuit for arousal effects in perceptual decision making tasks (Beerendonk et al., 2024)
  13. Distributed working memory in large-scale macaque brain model (Mejias and Wang, 2022)
  14. E-I-E direction-selective motion discrimination visual cortex traveling waves (Heitmann et al 2020)
  15. Effect of cortical D1 receptor sensitivity on working memory maintenance (Reneaux & Gupta 2018)
  16. Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
  17. Entrainment and divisive inhibition in a neocortical neural mass model (Papasavvas et al 2020)
  18. Exact mean-field models for Izhikevich networks (Chen and Campbell 2022)
  19. Human seizures couple across spatial scales through travelling wave dynamics (Martinet et al 2017)
  20. Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
  21. Impact of Small Time Delays on the Onset of Oscillations and Synchrony (Al-Darabsah et al 2021)
  22. Large-scale laminar model of macaque cortex (Mejias et al 2016)
  23. LGNcircuit: Minimal LGN network model of temporal processing of visual input (Norheim et al. 2012)
  24. Macroscopic model of epilepsy (Fietkiewicz & Loparo 2016)
  25. Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
  26. Mechanisms underlying different onset patterns of focal seizures (Wang Y et al 2017)
  27. Modelling enteric neuron populations and muscle fed-state motor patterns (Chambers et al. 2011)
  28. Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)
  29. Network model of movement disorders (Yousif et al 2020)
  30. Neural mass model based on single cell dynamics to model pathophysiology (Zandt et al 2014)
  31. Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
  32. Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016)
  33. Neural mass model of the neocortex under sleep regulation (Costa et al 2016)
  34. Neural mass model of the sleeping cortex (Weigenand et al 2014)
  35. Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016)
  36. Neural-field model of generalized seizures (Zhao et al., 2015)
  37. Nicotinic control of dopamine release in nucleus accumbens (Maex et al. 2014)
  38. Synaptic damage underlies EEG abnormalities in postanoxic encephalopathy (Ruijter et al 2017)
  39. Thalamocortical model of spike and wave seizures (Suffczynski et al. 2004)
  40. Tutorial: Using NEURON for Neuromechanical Simulations (Fietkiewicz et al., 2023)
  41. Universal feature of developing networks (Tabak et al 2010)
  42. Wilson-Cowan Network with Homeostatic Plasticity (Nicola and Campbell 2021)
Top authors for Neural mass:
Top concepts studied with Neural mass:
Top neurons studied with Neural mass:
Top currents studied with Neural mass:
Top references cited by these models:
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.