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Bernhard Treutwein

Researcher at Ludwig Maximilian University of Munich

Publications -  17
Citations -  1293

Bernhard Treutwein is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Visual field & Psychometric function. The author has an hindex of 11, co-authored 17 publications receiving 1207 citations.

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Journal ArticleDOI

Time will tell: Deficits of temporal information processing in patients with visual field loss

TL;DR: Temporal processing in patients with cerebral vision loss is impaired to a certain extent independently from perimetric light detection performance, which may partly explain reported subjective perceptual problems.
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Increasing the temporal g(r)ain: double-pulse resolution is affected by the size of the attention focus.

TL;DR: This work investigated how the size of the sustained attentional focus influences double-pulse resolution (DPR) thresholds mapped across the visual field in a sample of 95 healthy subjects using a 9-fold interleaved adaptive algorithm (YAAP).
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A matter of time: improvement of visual temporal processing during training-induced restoration of light detection performance

TL;DR: Training-induced improvement of light detection in patients with visual field loss thus generalized to dynamic visual functions, suggesting that similar neural mechanisms may underlie the impairment and subsequent training-induced functional recovery of both light detection and temporal processing.
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Daily rhythm of vigilance assessed by temporal resolution of the visual system.

TL;DR: Binocular double-pulse resolution measurements described here are an excellent method for assessment of vigilance and mental alertness, show strong time-of-day differences, are highly reliable across successive measurements, and can be fully automated.
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A system for the assessment and training of temporal-order discrimination.

TL;DR: Brain-injured patients with aphasia and children with language-learning impairments, i.e. those who have been diagnosed as performing poorly on temporal-order tasks and in discriminating stop-consonant vowel syllables, can effectively be trained by a feedback training procedure in which the SOA is manipulated.