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Ian Nimmo-Smith
Researcher at Cognition and Brain Sciences Unit
Publications - 72
Citations - 9685
Ian Nimmo-Smith is an academic researcher from Cognition and Brain Sciences Unit. The author has contributed to research in topics: Handwriting & Recall. The author has an hindex of 40, co-authored 72 publications receiving 8873 citations. Previous affiliations of Ian Nimmo-Smith include Medical Research Council.
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Functional neuroanatomy of emotions: A meta-analysis
TL;DR: Novel statistical techniques were applied to the meta-analysis of 106 PET and fMRI studies of human emotion and predictions made by key neuroscientific models demonstrated partial support for asymmetry accounts.
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Dipy, a library for the analysis of diffusion MRI data
Eleftherios Garyfallidis,Eleftherios Garyfallidis,Matthew Brett,Bagrat Amirbekian,Ariel Rokem,Stefan van der Walt,Maxime Descoteaux,Ian Nimmo-Smith +7 more
TL;DR: Dipy aims to provide transparent implementations for all the different steps of dMRI analysis with a uniform programming interface, and has implemented classical signal reconstruction techniques, such as the diffusion tensor model and deterministic fiber tractography.
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The differential assessment of children's attention: The Test of Everyday Attention for Children (TEA-Ch), normative sample and ADHD performance.
TL;DR: A novel battery, the Test of Everyday Attention for Children (TEA-Ch), comprising nine subtests adapted from the adult literature, is described and a three-factor model of sustained and selective attention and higher-level "executive" control formed a good fit to the data, even in the youngest children.
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The deterioration of hearing with age: frequency selectivity, the critical ratio, the audiogram, and speech threshold.
TL;DR: Auditory filter shapes derived from the tone-in-noise data show that the passband of the filter broadens progressively with age, and that the dynamic range of thefilter ages like the audiogram, which means that the range changes little with age before 55, but beyond this point there is an accelerating rate of loss.
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Components of fluent reading
TL;DR: This paper found that reading comprehension is dependent on a number of separable components including vocabulary, working memory, and a general lexical access process, which is a significant predictor as did lexical decision with nonhomophonous nonwords, letter name matching, and vocabulary.