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Tim Loossens

Showing results (1-10 of 9) with videos related to

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Scientific Reports|March 19, 2021
A comparison of continuous and discrete time modeling of affective processes in terms of predictive accuracyTim Loossens, Francis Tuerlinckx, Stijn Verdonck
Psychological Review|September 11, 2020
The Leaky Integrating Threshold and its impact on evidence accumulation models of choice response time (RT)Stijn Verdonck, Tim Loossens, Marios G Philiastides
Psychological Methods|September 28, 2021
Informing VAR(1) with qualitative dynamical features improves predictive accuracyTim Loossens, Egon Dejonckheere, Francis Tuerlinckx, et al.
Plos Computational Biology|September 10, 2019
Prepaid parameter estimation without likelihoodsMerijn Mestdagh, Stijn Verdonck, Kristof Meers, et al.
Psychological Methods|June 24, 2021
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modelingJanne K Adolf, Tim Loossens, Francis Tuerlinckx, et al.
Plos Biology|July 17, 2023
Secondary motor integration as a final arbiter in sensorimotor decision-makingTarryn Balsdon, Stijn Verdonck, Tim Loossens, et al.
Plos Computational Biology|May 16, 2020
The Affective Ising Model: A computational account of human affect dynamicsTim Loossens, Merijn Mestdagh, Egon Dejonckheere, et al.
Behavior Research Methods|September 25, 2021
Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPUTim Loossens, Kristof Meers, Niels Vanhasbroeck, et al.
Affective Science|November 17, 2022
Stimulus-Driven Affective Change: Evaluating Computational Models of Affect Dynamics in Conjunction with InputNiels Vanhasbroeck, Tim Loossens, Nil Anarat, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|March 19, 2021
A comparison of continuous and discrete time modeling of affective processes in terms of predictive accuracyTim Loossens, Francis Tuerlinckx, Stijn Verdonck
Psychological Review|September 11, 2020
The Leaky Integrating Threshold and its impact on evidence accumulation models of choice response time (RT)Stijn Verdonck, Tim Loossens, Marios G Philiastides
Psychological Methods|September 28, 2021
Informing VAR(1) with qualitative dynamical features improves predictive accuracyTim Loossens, Egon Dejonckheere, Francis Tuerlinckx, et al.
Plos Computational Biology|September 10, 2019
Prepaid parameter estimation without likelihoodsMerijn Mestdagh, Stijn Verdonck, Kristof Meers, et al.
Psychological Methods|June 24, 2021
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modelingJanne K Adolf, Tim Loossens, Francis Tuerlinckx, et al.
Plos Biology|July 17, 2023
Secondary motor integration as a final arbiter in sensorimotor decision-makingTarryn Balsdon, Stijn Verdonck, Tim Loossens, et al.
Plos Computational Biology|May 16, 2020
The Affective Ising Model: A computational account of human affect dynamicsTim Loossens, Merijn Mestdagh, Egon Dejonckheere, et al.
Behavior Research Methods|September 25, 2021
Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPUTim Loossens, Kristof Meers, Niels Vanhasbroeck, et al.
Affective Science|November 17, 2022
Stimulus-Driven Affective Change: Evaluating Computational Models of Affect Dynamics in Conjunction with InputNiels Vanhasbroeck, Tim Loossens, Nil Anarat, et al.
Pageof 1