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16 March 2020
16 March 2020
Just accepted in Cognitive Processing a new paper "Core features: measures and characterization for different languages" in collaboration with Marianna Bolognesi, Leticia Vivas and Jorge Vivas!
21 October 2019
21 October 2019
New paper accepted in Cognitive Processing in collaboration with Erin Buchanan and Simon De Deyne!
27 August 2019
27 August 2019
Paper accepted in QJEP (in collaboration with Beth Jefferies of the University of York)!
6 March 2019
6 March 2019
Our @dpvinson, @IliasTachtsidis, @PaolaPinti, @EttAmbros abstracts have just been accepted at @OHBM! I'm really exicited to present our #fNIRS and #fMRI studies on semantic representation of abstract and concrete words! See you soon all in Rome! #ResearchImpactEU
1 March 2019
1 March 2019
Brain processes concrete and abstract words differently: A mini-review on Journal of Neurophysiology. Read full press release: APS.org #ResearchImpactEU
19 February 2019
19 February 2019
Neuro Forum entitled "Semantic representation of abstract and concrete words: a mini-review of neural evidence" has been accepted for publication in Journal of Neurophysiology!
28 January 2019
28 January 2019
New age of acquisition norms for Italian words has been accepted in Frontiers in Psychology (doi: 10.3389/fpsyg.2019.00278)! Norms and raw data available at the following link https://osf.io/3trg2/ !
26 November 2018
26 November 2018
Pleased to share via @OSFramework our most recent #preprint (https://psyarxiv.com/br54j) in collaboration with Gabriella Vigliocco, David Vinson and Ettore Ambrosini! Norms and raw data are publicly available at https://osf.io/3trg2/!
7 August 2018
7 August 2018
Check this out! New preprint in collaboration with Beth Jefferies' lab is now online! https://psyarxiv.com/htv72
21 June 2018
21 June 2018
Our new preprint out at this link https://psyarxiv.com/ypvgw/ : How well do similarity measures predict priming in abstract and concrete concepts? #Prereg @EP_UCL #ResearchImpactEU
This work is in collaboration with Erin M. Buchanan of the Missouri State University.
06 June 2018
06 June 2018
Our paper just came out across Cognition and Emotion! 50 free downloads available here! https://www.tandfonline.com/eprint/jwjU4J2ewBw9wMaPkrFJ/full
Permanent link to the publisher version of the article: http://dx.doi.org/10.1080/02699931.2018.1483322
Here you can find a pre-print version.
28 May 2018
28 May 2018
I'm very pleased that our paper on the grammatical gender effect on word affective judgments has just been accepted for publication in Cognition and Emotion! This study is related to the project in Open Science Framework (osf.io/pqaxk).
This study is in collaboration with Eka Roivainen of the Oulu University Hospital (Finland) and Ettore Ambrosini of the University of Padua (Italy).
15 April 2018
15 April 2018
Our paper just came out across Biological Psychology: Can pupil response to false memories be modulated by featural similarity between concepts? https://doi.org/10.1016/j.biopsycho.2018.04.004
10 April 2018
10 April 2018
New paper accepted in Biological Psychology: Montefinese M, Vinson D, Ambrosini E (2018) Recognition memory and featural similarity between concepts: the pupil's point of view.
17 March 2018
17 March 2018
Preregistration completed of our semantic priming project! Proud to be a supporter of Open Science Framework!
11 December 2017
11 December 2017
Our preprint on pupil response to false memory modulated by feature similarity between concepts at https://osf.io/w9382/
6 December 2017
6 December 2017
Hi! If you are a native English speaker, join our online study of semantic decision at: https://research.sc/participant/login/dynamic/044911DA-D73C-409D-A7BF-18B55B0F23C3
27 October 2017
27 October 2017
If you are a native English speaker, take part in this online study on word pairs at this link: https://research.sc/participant/login/dynamic/9A3509E9-E398-4474-88C0-E09D54954036
October 2017
October 2017
Pupil response to false memories can be modulated by featural similarity between concepts
Pupil response to false memories can be modulated by featural similarity between concepts
Study in collaboration with Ettore Ambrosini (University of Padua, IT)
These results have been presented at scientific event at CIMeC (Rovereto, IT). You can download the related poster here.
Differences in pupil dilation are observed for studied compared to new items in recognition memory. According to cognitive load theory, this effect reflects the greater cognitive demands of retrieving contextual information from study phase. Pupil dilation can also occur when new items conceptually related to old ones are erroneously recognized as old, but the aspects of similarity that modulate false memory and related pupil responses remain unclear.
We investigated this issue by manipulating the degree of featural similarity between new (unstudied) (HFS: new items with High Featural Similarity; LFS: new items with Low Featural Similarity) and old (studied) concepts in an old/new recognition task.
We found:
- New words with high similarity were mistakenly identified as old, and had more pupil dilation than those with low similarity (see Figure 1).
- Specific components reflecting distinct recognition-related cognitive processes modulated by featural similarity have been identified (see Figure 2).
Results suggest that pupil dilation reflects the strength of evidence on which recognition judgments are based and, importantly, greater locus coeruleus and prefrontal activity determined by the higher degree of retrieval monitoring involved in recognizing these items.
Figure 1. Descriptive results of the mixed-effects analyses. Unweighted mean values for the proportion of “old” responses, the RTs, and the peak pupil dilation as a function of Condition (Old, HFS, LFS) and Response (“old” and “new”, in red and blue, respectively). The inset in the left panel shows the d’ values for HFS and LFS conditions.
Figure 2. Results of the Principal Component Analysis. Time course of the factor loadings for the three components identified by the Principal Component Analysis.
September 2017
September 2017
Places are available for UCL students for upcoming exciting projects in this framework!
If you would like to join our group and work with us in these thrilling studies, please have a look at: MSc/MRes Projects
July 2017
July 2017
Representational resemblance among different similarity measures reflects a gradient of depth of information encoding.
Representational resemblance among different similarity measures reflects a gradient of depth of information encoding.
We extended our investigation to similarity measures derived from other further data sources , such as dimensional, familiarity, and imageability ratings and so forth. We found:
- Unlike featural similarity, dimensional similarity is more closely related to different similarity measures.
- Similarity was shown between behavioural and broad lexical and semantic measures (such as imageability and concreteness), reflecting different encoding of the information (lexical vs. semantic).
These results have been presented at Cognitive Science conference. You can download the related poster and abstract here.
March 2017
March 2017
Different data sources are employed in a similar way in building meaningful conceptual representation.
Different data sources are employed in a similar way in building meaningful conceptual representation.
We investigated possible similarity patterns derived from experiential, distributional, lexical and behavioural measures, by using Representational Similarity Analysis and Multidimensional Scaling and we found:
- Representational resemblance among experiential (featural), distributional and “indirect” (association) similarities.
- Similarity in affective and concreteness ratings were related to the co-occurrence in linguistic contexts.
- Similarity between behaviour and lexical measures (word length and age of acquisition).
These results have been presented at Psycholinguistics in Flanders conference. You can download the related poster here.
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