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The Cerebro-Cerebellum as a Locus of Forward Model: A Review. [PDF]
Front Syst Neurosci, 2020 Tanaka H, Ishikawa T, Lee J, Kakei S.
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Dysmetria and Errors in Predictions: The Role of Internal Forward Model. [PDF]
Int J Mol Sci, 2020 Cabaraux P +5 more
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Diamonds and Forward Variance Models
SSRN Electronic Journal, 2022 In this non-technical introduction to diamond trees and forests, we focus on their application to computation in stochastic volatility models written in forward variance form, rough volatility models in particular.
Friz, Peter, Gatheral, Jim
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Affine forward variance models [PDF]
Finance and Stochastics, 2018 We introduce the class of affine forward variance (AFV) models of which both the conventional Heston model and the rough Heston model are special cases. We show that AFV models can be characterized by the affine form of their cumulant generating function, which can be obtained as solution of a convolution Riccati equation.
Gatheral, Jim, Keller-Ressel, Martin
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Neuroelectromagnetic Forward Modeling Toolbox [PDF]
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008 This paper introduces a Neuroelectromagnetic Forward Modeling Toolbox running under MATLAB (The Mathworks, Inc.) for generating realistic head models from available data (MRI and/or electrode locations) and for solving the forward problem of electro-magnetic source imaging numerically.
Zeynep, Akalin Acar, Scott, Makeig
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Forward Models in Visuomotor Control [PDF]
Journal of Neurophysiology, 2002 In recent years, an increasing number of research projects investigated whether the central nervous system employs internal models in motor control. While inverse models in the control loop can be identified more readily in both motor behavior and the firing of single neurons, providing direct evidence for the existence of forward models is more ...
Biren, Mehta, Stefan, Schaal
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Compressive imaging with iterative forward models [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 We propose a new compressive imaging method for reconstructing 2D or 3D objects from their scattered wave-field measurements. Our method relies on a novel, nonlinear measurement model that can account for the multiple scattering phenomenon, which makes the method preferable in applications where linear measurement models are inaccurate.
Hsiou-Yuan Liu +4 more
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Moving Forward: On the Limits of Motor-Based Forward Models
Trends in Cognitive Sciences, 2019 The human ability to anticipate the consequences that result from action is an essential building block for cognitive, emotional, and social functioning. A dominant view is that this faculty is based on motor predictions, in which a forward model uses a copy of the motor command to predict imminent sensory action-consequences. Although this account was
Dogge, Myrthel +2 more
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Forward models and passive psychotic symptoms [PDF]
Frontiers in Human Neuroscience, 2015 Pickering and Clark (2014) present two ways of viewing the role of forward models in human cognition: the auxiliary forward model (AFM) account and the integral forward model (IFM) account. The AFM account “assumes a dedicated prediction mechanism implemented by additional circuitry distinct from the core mechanisms of perception and action” (p.
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Learning Forward Models for Robots. [PDF]
, 2005 Forward models enable a robot to predict the effects of its actions on its own motor system and its environment. This is a vital aspect of intelligent behaviour, as the robot can use predictions to decide the best set of actions to achieve a goal.
Dearden,A., Demiris,Y.K.
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