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MCMC for Bayesian uncertainty quantification from time-series data

Autor: Maybank, Philip, Peltzer, Patrick, Naumann, Uwe, Bojak, Ingo

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

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Fast approximate Bayesian inference for stable differential equation models

Autor: Maybank, Philip, Bojak, Ingo, Everitt, Richard G.

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

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Akademický článek

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Metabifurcation analysis of a mean field model of the cortex

Autor: Frascoli, Federico, van Veen, Lennaert, Bojak, Ingo, Liley, David T J

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

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NLO QCD Corrections to the Polarized Photo- and Hadroproduction of Heavy Quarks

Autor: Bojak, Ingo

The complete details of our calculation of the NLO QCD corrections to heavy flavor photo- and hadroproduction with longitudinally polarized initial states are presented. The main motivation for investigating these processes is the determination of th

Externí odkaz: http://arxiv.org/abs/hep-ph/0005120

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Akademický článek

Introduction to the proceedings of the CNS*2023 meeting.

Autor: Bojak, Ingo, Linster, Christiane, Nowotny, Thomas

Publikováno v: Journal of Computational Neuroscience; 2024 Suppl 1, Vol. 52, p1-2, 2p

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Akademický článek

Associating spontaneous with evoked activity in a neural mass model of visual cortex

Autor: Nguyen Trong, Manh, Bojak, Ingo, Knösche, Thomas R.

Publikováno v: In NeuroImage 1 February 2013 66:80-87

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Mistake-making: a theoretical framework for generating research questions in biology, with illustrative application to blood clotting

Autor: Hill, Jonathan, Oderberg, David, Gibbins, Jon, Bojak, Ingo

It is a matter of contention whether or not a general explanatory framework for the biological sciences would be of scientific value, or whether it is even achievable. In this paper we suggest that both are the case, and we outline proposals for a fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e0c43291be06267885938a60cfef408e
https://centaur.reading.ac.uk/101742/8/718736.pdf

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