Adding an affix to transform a word is common across the world languages, with the edges of words more likely to carry out such a function. However, detecting affixation patterns is also observed in learning tasks outside the domain of language, suggesting that the underlying mechanism from which affixation patterns have arisen may not be language or even human specific. We addressed whether a songbird, the zebra finch, is able to discriminate between, and generalize, affixation-like patterns. Zebra finches were trained and tested in a Go/Nogo paradigm to discriminate artificial song element sequences resembling prefixed and suffixed 'words.' The 'stems' of the 'words,' consisted of different combinations of a triplet of song elements, to which a fourth element was added as either a 'prefix' or a 'suffix.' After training, the birds were tested with novel stems, consisting of either rearranged familiar element types or novel element types. The birds were able to generalize the affixation patterns to novel stems with both familiar and novel element types. Hence, the discrimination resulting from the training was not based on memorization of individual stimuli, but on a shared property among Go or Nogo stimuli, i.e., affixation patterns. Remarkably, birds trained with suffixation as Go pattern showed clear evidence of using both prefix and suffix, while those trained with the prefix as the Go stimulus used primarily the prefix. This finding illustrates that an asymmetry in attending to different affixations is not restricted to human languages.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701768 | PMC |
http://dx.doi.org/10.1007/s10071-015-0913-x | DOI Listing |
Behav Res Methods
January 2025
Centre de recherche CERVO, Québec City, QC, Canada.
Having a detailed description of the psycholinguistic properties of a language is essential for conducting well-controlled language experiments. However, there is a paucity of databases for some languages and regional varieties, including Québec French. The SyllabO+ corpus was created to provide a complete phonological and syllabic analysis of a corpus of spoken Québec French.
View Article and Find Full Text PDFMolecules
December 2024
School of Chemistry and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
The conductive hydrogels (CHs) are promising for developing flexible energy storage devices, flexible sensors, and electronic skin due to the unique features of excellent flexibility and high conductivity. However, poor biocompatibility and antibacterial properties seriously limit their application in the biomedical field. Collagen, one of the main components of the extracellular Matrix (ECM), is the ideal matrix for constructing hydrogels due to good biocompatibility with human tissue.
View Article and Find Full Text PDFCortex
January 2025
Language and Brain Lab, Sagol School of Neuroscience, and School of Education, Tel Aviv University, Tel Aviv, Israel. Electronic address:
We report a case of crossmodal bilingual aphasia-aphasia in two modalities, spoken and sign language-and dysgraphia in both writing and fingerspelling. The patient, Sunny, was a 42 year-old woman after a left temporo-parietal stroke, a speaker of Hebrew, Romanian, and English and an adult learner, daily user of Israeli Sign language (ISL). We assessed Sunny's spoken and sign languages using a comprehensive test battery of naming, reading, and repetition tasks, and also analysed her spontaneous-speech and sign.
View Article and Find Full Text PDFSci Rep
December 2024
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health, Building 49, Room 5A82, 49 Convent Drive, Bethesda, MD, 20892-4480, USA.
Sensors (Basel)
November 2024
School of Engineering, Deakin University, Geelong, VIC 3216, Australia.
Wearable devices have revolutionized real-time health monitoring, yet challenges persist in enhancing their flexibility, weight, and accuracy. This paper presents the development of a wearable device employing a conductive polyacrylamide-lithium chloride-MXene (PLM) hydrogel sensor, an electronic circuit, and artificial intelligence (AI) for gait monitoring. The PLM sensor includes tribo-negative polydimethylsiloxane (PDMS) and tribo-positive polyurethane (PU) layers, exhibiting extraordinary stretchability (317% strain) and durability (1000 cycles) while consistently delivering stable electrical signals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!