An Introduction to Model-Based Cognitive Neuroscience by Birte U. Forstmann, Eric-Jan Wagenmakers

By Birte U. Forstmann, Eric-Jan Wagenmakers

Two fresh options, the emergence of formal cognitive versions and the addition of cognitive neuroscience info to the normal behavioral info, have led to the start of a brand new, interdisciplinary box of analysis: model-based cognitive neuroscience. regardless of the expanding clinical curiosity in model-based cognitive neuroscience, few energetic researchers or even fewer scholars have a great wisdom of the 2 constituent disciplines. the most aim of this edited assortment is to advertise the mixing of cognitive modeling and cognitive neuroscience. specialists within the box will supply tutorial-style chapters that specify specific suggestions and spotlight their usefulness via concrete examples and various case experiences. The ebook also will contain a radical checklist of references pointing the reader in the direction of extra literature and on-line resources.

Show description

Read Online or Download An Introduction to Model-Based Cognitive Neuroscience PDF

Similar neuropsychology books

Cognition and the Brain: The Philosophy and Neuroscience Movement

This quantity presents an up-to-the-minute and entire evaluate of the philosophy and neuroscience circulation, which applies the tools of neuroscience to standard philosophical difficulties and makes use of philosophical tips on how to light up matters in neuroscience. on the center of the move is the conviction that simple questions about human cognition, a lot of that have been studied for millennia, may be spoke back simply by way of a philosophically refined snatch of neuroscience's insights into the processing of knowledge by means of the human mind.

Exposure Therapy for Anxiety: Principles and Practice

Publicity remedy is the simplest mental therapy for nervousness, but many clinicians lack self belief of their skill to enforce it successfully whereas preserving consumers engaged. This quintessential e-book presents instructions for engaging in exposure-based interventions and overcoming universal roadblocks.

Cognitive Neuroscience: Research Directions In Cognitive Science: European perspectives, volume 4

This booklet studies the development made in Europe over the past decade within the box of Cognitive Neuroscience and issues out ideas for the long run.

Performing Neurology: The Dramaturgy of Dr Jean-Martin Charcot

This article offers a examine of Jean-Martin Charcot, a founding determine within the heritage of neurology as a self-discipline and a colleague of Sigmund Freud. It argues that Charcot’s diagnostic and pedagogic types, explaining either how illness is famous and defined and the way to educate the act of neurological prognosis, will be thought of via a theatrical lens.

Additional resources for An Introduction to Model-Based Cognitive Neuroscience

Sample text

Mem Cognit 28:832–840. 3758/BF03198418 11. Norris D (2005) How do computational models help us build better theories? In: Cutler A (ed) Twenty-first century psycholinguistics: four cornerstones. Lawrence Erlbaum, Mahwah, pp 331–346 12. Fum D, Missier FDel, Stocco A (2007) The cognitive modeling of human behavior: why a model is (sometimes) better than 10,000 words. Cognit Syst Res 8:135–142 13. Lewandowsky S (1993) The rewards and hazards of computer simulations. Psychol Sci 4:236– 243 14. Lewandowsky S, Farrell S (2011) Computational modeling in cognition: principles and practice.

Lewandowsky S (1993) The rewards and hazards of computer simulations. Psychol Sci 4:236– 243 14. Lewandowsky S, Farrell S (2011) Computational modeling in cognition: principles and practice. Sage, Thousand Oaks 15. Logan GD (1988) Toward an instance theory of automatization. Psychol Rev 95:492–527 16. Rouder JN, Lu J, Speckman P, Sun D, JiangY (2005) hierarchical model for estimating response time distributions. Psychon Bull Rev 12:195–223 17. Logan GD (2002) An instance theory of attention and memory.

The horizontal lines show the true parameter values that were used to generate the synthetic data (also indicated on top of each panel). 1 shows good parameter recovery for γ + and β, with only a slight overestimation of γ + . The α and μ parameters are systematically overestimated. The overestimation of α increases when the true value of μ becomes smaller (in the bottom left panel, compare the fourth, second, and fifth violin from the left or compare the leftmost and rightmost violins). pdf. 2 With only 90 trials—the standard number—parameter recovery was very poor.

Download PDF sample

Rated 4.08 of 5 – based on 14 votes