Search results for "RECOGNITION"
showing 10 items of 3607 documents
The Omission of Accent Marks Does Not Hinder Word Recognition: Evidence From Spanish
2021
Recent research has found that the omission of accent marks in Spanish does not produce slower word identification times in go/no-go lexical decision and semantic categorization tasks [e.g., cárcel (prison) = carcel], thus suggesting that vowels like á and a are represented by the same orthographic units during word recognition and reading. However, there is a discrepant finding with the yes/no lexical decision task, where the words with the omitted accent mark produced longer response times than the words with the accent mark. In Experiment 1, we examined this discrepant finding by running a yes/no lexical decision experiment comparing the effects for words and non-words. Results showed sl…
On the Dissociation of Word/Nonword Repetition Effects in Lexical Decision: An Evidence Accumulation Account
2016
A number of models of visual-word recognition assume that the repetition of an item in a lexical decision experiment increases that item's familiarity/wordness. This would produce not only a facilitative repetition effect for words, but also an inhibitory effect for nonwords (i.e., more familiarity/wordness makes the negative decision slower). We conducted a two-block lexical decision experiment to examine word/nonword repetition effects in the framework of a leading “familiarity/wordness” model of the lexical decision task, namely, the diffusion model (Ratcliff et al., 2004). Results showed that while repeated words were responded to faster than the unrepeated words, repeated nonwords were…
Philoscphies of the gift: Uses and abuses of contemporary ethics donation
2013
El objetivo de este artículo es analizar el concepto de donación en la ética contemporánea. Este análisis se realiza en tres momentos: el primero se sitúa en la introducción y muestra que es un concepto importante en el que convergen la fenomenología, el personalismo y la hermenéutica. Esta convergencia no solo supone un uso frecuente del concepto sino un abuso del mismo cuando se construye de espalda a las mediaciones objetivas o institucionales que lo condicionan. El segundo presenta una antropología del don y muestra su relación con los objetos, la reciprocidad, la deuda y la libertad. En el tercer momento se describe la filosofía de la donación de Paul Ricoeur, donde se comprueba un uso…
ASV kā nozīmīgais cits Krievijas lomas identitātes veidošanā: 2007.-2017. gads
2019
Maģistra darba tēma ir “ASV kā nozīmīgais cits Krievijas lomas identitātes veidošanā: 2007.-2017. gads”. Darba mērķis ir noskaidrot, kāds laika periodā no 2007. gada līdz 2017. gadam ir bijis Krievijas diskurss attiecībā uz ASV, proti, vai Krievijas ieskatā ASV to atzīst vai neatzīst kā lielvaru, kā arī to, kādas tam ir attiecīgās sekas vienā vai otrā gadījumā. Darba teorētisko bāzi veido konstruktīvisma pieeja, konkrētāk skatījums uz identitātēm. Tāpat darbā izmantota kritiskā diskursa analīze. Darba rezultāti liecina par to, ka ASV neatzīstot Krieviju kā lielvaru, tās retorika kļūst revizionistiska.
It's Sad but I Like It The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons
2016
Emotion-related areas of the brain, such as the medial frontal cortices, amygdala, and striatum, are activated during listening to sad or happy music as well as during listening to pleasurable music. Indeed, in music, like in other arts, sad and happy emotions might co-exist and be distinct from emotions of pleasure or enjoyment. Here we aimed at discerning the neural correlates of sadness or happiness in music as opposed those related to musical enjoyment. We further investigated whether musical expertise modulates the neural activity during affective listening of music. To these aims, 13 musicians and 16 non-musicians brought to the lab their most liked and disliked musical pieces with a …
Dopamine Related Genes Differentially Affect Declarative Long-Term Memory in Healthy Humans
2020
In humans, monetary reward can promote behavioral performance including response times, accuracy, and subsequent recognition memory. Recent studies have shown that the dopaminergic system plays an essential role here, but the link to interindividual differences remains unclear. To further investigate this issue, we focused on previously described polymorphisms of genes affecting dopaminergic neurotransmission: DAT1 40 base pair (bp), DAT1 30 bp, DRD4 48 bp, and cannabinoid receptor type 1 (CNR1). Specifically, 669 healthy humans participated in a delayed recognition memory paradigm on two consecutive days. On the first day, male vs. female faces served as cues predicting an immediate moneta…
Combining Sequence Analysis and Hidden Markov Models in the Analysis of Complex Life Sequence Data
2018
Life course data often consists of multiple parallel sequences, one for each life domain of interest. Multichannel sequence analysis has been used for computing pairwise dissimilarities and finding clusters in this type of multichannel (or multidimensional) sequence data. Describing and visualizing such data is, however, often challenging. We propose an approach for compressing, interpreting, and visualizing the information within multichannel sequences by finding (1) groups of similar trajectories and (2) similar phases within trajectories belonging to the same group. For these tasks we combine multichannel sequence analysis and hidden Markov modelling. We illustrate this approach with an …
Multitask deep learning for native language identification
2020
Identifying the native language of a person by their text written in English (L1 identification) plays an important role in such tasks as authorship profiling and identification. With the current proliferation of misinformation in social media, these methods are especially topical. Most studies in this field have focused on the development of supervised classification algorithms, that are trained on a single L1 dataset. Although multiple labeled datasets are available for L1 identification, they contain texts authored by speakers of different languages and do not completely overlap. Current approaches achieve high accuracy on available datasets, but this is attained by training an individua…
Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images
2022
Abstract Purpose Training deep neural networks usually require a large number of human-annotated data. For organ segmentation from volumetric medical images, human annotation is tedious and inefficient. To save human labour and to accelerate the training process, the strategy of annotation by iterative deep learning recently becomes popular in the research community. However, due to the lack of domain knowledge or efficient human-interaction tools, the current AID methods still suffer from long training time and high annotation burden. Methods We develop a contour-based annotation by iterative deep learning (AID) algorithm which uses boundary representation instead of voxel labels to incorp…
Glottal Source Features for Automatic Speech-Based Depression Assessment
2017
Depression is one of the most prominent mental disorders, with an increasing rate that makes it the fourth cause of disability worldwide. The field of automated depression assessment has emerged to aid clinicians in the form of a decision support system. Such a system could assist as a pre-screening tool, or even for monitoring high risk populations. Related work most commonly involves multimodal approaches, typically combining audio and visual signals to identify depression presence and/or severity. The current study explores categorical assessment of depression using audio features alone. Specifically, since depression-related vocal characteristics impact the glottal source signal, we exa…