Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Bojak Ingo"'
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P197 (2011)
Externí odkaz:
https://doaj.org/article/a5c03bac3de2408aae194c2d3d4d01ea
Spontaneous state switching in realistic mean-field model of visual cortex with heteroclinic channel
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P175 (2011)
Externí odkaz:
https://doaj.org/article/12d68316a87d48a5ab6a3381c485dc10
Publikováno v:
BMC Neuroscience, Vol 11, Iss Suppl 1, p P28 (2010)
Externí odkaz:
https://doaj.org/article/54bc588cc1c8482eb3e11e1bcba273b2
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P286 (2009)
Externí odkaz:
https://doaj.org/article/e2b2b18a64394c8e824b68fbf9a773f3
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p L2 (2009)
Externí odkaz:
https://doaj.org/article/ce7a565487d6444faff1b17eb80686d0
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P285 (2009)
Externí odkaz:
https://doaj.org/article/89c5581a0a5749fcaa74fa87f007aef0
Autor:
Liley David TJ, Bojak Ingo
Publikováno v:
BMC Neuroscience, Vol 10, Iss Suppl 1, p P290 (2009)
Externí odkaz:
https://doaj.org/article/f5101155c09f4f11addf3ea3a8eeb5a0
Publikováno v:
LNCS, volume 12143, Coputational Science - ICCS 2020
Many problems in science and engineering require uncertainty quantification that accounts for observed data. For example, in computational neuroscience, Neural Population Models (NPMs) are mechanistic models that describe brain physiology in a range
Externí odkaz:
http://arxiv.org/abs/2005.14281
Inference for mechanistic models is challenging because of nonlinear interactions between model parameters and a lack of identifiability. Here we focus on a specific class of mechanistic models, which we term stable differential equations. The dynami
Externí odkaz:
http://arxiv.org/abs/1706.00689
Mean field models (MFMs) of cortical tissue incorporate salient features of neural masses to model activity at the population level. One of the common aspects of MFM descriptions is the presence of a high dimensional parameter space capturing neurobi
Externí odkaz:
http://arxiv.org/abs/1008.4043