Posted on

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 information, have ended in the beginning of a brand new, interdisciplinary box of research: model-based cognitive neuroscience. regardless of the expanding clinical curiosity in model-based cognitive neuroscience, few energetic researchers or even fewer scholars have an exceptional wisdom of the 2 constituent disciplines. the most target of this edited assortment is to advertise the mixing of cognitive modeling and cognitive neuroscience. specialists within the box will offer tutorial-style chapters that designate specific concepts and spotlight their usefulness via concrete examples and various case reviews. The ebook also will comprise a radical record of references pointing the reader in the direction of extra literature and on-line resources.

Show description

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

Similar neuropsychology books

The Cognitive Neuroscience of Mind: A Tribute to Michael S. Gazzaniga

Those essays on a variety of themes within the cognitive neurosciences document at the development within the box over the two decades of its lifestyles and replicate the various groundbreaking clinical contributions and enduring effect of Michael Gazzaniga, "the godfather of cognitive neuroscience"—founder of the Cognitive Neuroscience Society, founding editor of the magazine of Cognitive Neuroscience , and editor of the key reference paintings, The Cognitive Neurosciences , now in its fourth variation (MIT Press, 2009).

The Psychology of Learning and Motivation

The Psychology of studying and Motivation sequence publishes empirical and theoretical contributions in cognitive and experimental psychology, starting from classical and instrumental conditioning to complicated studying and challenge fixing. every one bankruptcy thoughtfully integrates the writings of top participants, who current and talk about major our bodies of study correct to their self-discipline.

Meditation: Neuroscientific Approaches and Philosophical Implications

Neuroscience, awareness and Spirituality offers quite a few views by way of best thinkers on modern study into the mind, the brain and the spirit. This volumes goals at combining wisdom from neuroscience with ways from the experiential point of view of the 1st individual singular with a purpose to arrive at an built-in realizing of recognition.

Additional info for An Introduction to Model-Based Cognitive Neuroscience

Example text

In their first experiment participants were given instructions that emphasised either the accuracy or speed of responding. They fit a relatively simple 12-parameter diffusion model to these data, assuming that instructions selectively influenced response caution and bias, whereas stimulus type selectively influenced the mean drift rate. Rae and colleagues [44] refit these data, including two extra participants not included in the originally reported data set (17 in total), in order to investigate the selective influence assumption about emphasis.

Brown and Eric-Jan Wagenmakers Abstract Cognitive modeling can provide important insights into the underlying causes of behavior, but the validity of those insights rests on careful model development and checking. We provide guidelines on five important aspects of the practice of cognitive modeling: parameter recovery, testing selective influence of experimental manipulations on model parameters, quantifying uncertainty in parameter estimates, testing and displaying model fit, and selecting among different model parameterizations and types of models.

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.

Download PDF sample

Rated 4.70 of 5 – based on 21 votes