@article{miozzo2020foreign,

title = {Foreign language effect in decision-making: How foreign is it?},

author = {Michele Miozzo and Eduardo Navarrete and Martino Ongis and Enrica Mello and Vittorio Girotto and Francesca Peressotti},

doi = {https://doi.org/10.1016/j.cognition.2020.104245},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Cognition},

volume = {199},

pages = {104245},

publisher = {Elsevier},

abstract = {It has been shown that decisions and moral judgments differ when made using native languages compared to foreign languages. Cross-linguistic differences appeared in foreign languages that monolinguals typically acquired in school and used neither routinely nor extensively. We replicated these differences with two populations of proficient, native bilinguals (Italian-Venetian; Italian-Bergamasque). Venetian and Bergamasque are spoken in households and informal circles, unlike Italian, which is also used in more formal contexts. The findings reported in foreign languages for the Asian Disease Problem and the Footbridge Dilemma were reproduced in Venetian and Bergamasque. Our results show that language effects on decision-making and moral judgments are not restricted to foreign languages. The explanation proposed for foreign languages of cross-linguistic differences in emotion responses does not apply to our proficient, native bilinguals, who showed emotion responses of equal intensity in their languages. We propose that the contexts in which bilinguals use a language – either native, regional or foreign – could affect decisions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{guerra2022kinematic,

title = {Kinematic Evidence of Root-to-Shoot Signaling for the Coding of Support Thickness in Pea Plants},

author = {Silvia Guerra and Bianca Bonato and Qiuran Wang and Alessandro Peressotti and Francesca Peressotti and Walter Baccinelli and Maria Bulgheroni and Umberto Castiello},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Biology},

volume = {11},

number = {3},

pages = {405},

publisher = {MDPI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{quartarone2022exploring,

title = {Exploring the ventral white matter language network in bimodal and unimodal bilinguals},

author = {Cinzia Quartarone and Eduardo Navarrete and Sanja Budisavljevi'c and Francesca Peressotti},

url = {http://colab.psy.unipd.it/wp-content/uploads/2025/01/Quartarone-et-al_2022-BL.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Brain and Language},

volume = {235},

pages = {105187},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{miozzo2022hand,

title = {How the hand has shaped sign languages},

author = {Michele Miozzo and Francesca Peressotti},

url = {http://colab.psy.unipd.it/wp-content/uploads/2025/01/Miozzo_Peressotti_SciRep_2022.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Scientific Reports},

volume = {12},

number = {1},

pages = {11980},

publisher = {Nature Publishing Group UK London},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lorenzoni2022language,

title = {Language as a cue for social categorization in bilingual communities},

author = { Anna Lorenzoni and Mikel Santesteban and Francesca Peressotti and Cristina Baus and Eduardo Navarrete},

url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276334},

doi = {https://doi.org/10.1371/journal.pone.0276334},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Plos one},

volume = {17},

number = {11},

pages = {e0276334},

publisher = {Public Library of Science San Francisco, CA USA},

abstract = {This registered report article investigates the role of language as a dimension of social categorization. Our critical aim was to investigate whether categorization based on language occurs even when the languages coexist within the same sociolinguistic context, as is the case in bilingual communities. Bilingual individuals of two bilingual communities, the Basque Country (Spain) and Veneto (Italy), were tested using the memory confusion paradigm in a ‘Who said what?’ task. In the encoding part of the task, participants were presented with different faces together with auditory sentences. Two different languages of the sentences were presented in each study, with half of the faces always associated with one language and the other half with the other language. Spanish and Basque languages were used in Study 1, and Italian and Venetian dialect in Study 2. In the test phase, the auditory sentences were presented again and participants were required to decide which face uttered each sentence. As expected, participants error rates were high. Critically, participants were more likely to confuse faces from the same language category than from the other (different) language category. The results indicate that bilinguals categorize individuals belonging to the same sociolinguistic community based on the language these individuals speak, suggesting that social categorization based on language is an automatic process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gastaldon2021,

title = {When inefficient speech-motor control affects speech comprehension: atypical electrophysiological correlates of language prediction in stuttering},

author = {Simone Gastaldon and Pierpaolo Busan and Giorgio Arcara and Francesca Peressotti},

url = {https://www.biorxiv.org/content/10.1101/2021.10.28.466231v1.full.pdf},

doi = {10.1101/2021.10.28.466231},

year  = {2021},

date = {2021-10-28},

urldate = {2021-10-28},

journal = {bioRxiv},

pages = {2021.10.28.466231},

abstract = {It is well attested that people predict forthcoming information during language comprehension. The literature presents different proposals on how this ability could be implemented. Here, we tested the hypothesis according to which language production mechanisms have a role in such predictive processing. To this aim, we studied two electroencephalographic correlates of predictability during speech comprehension ‒ pre-target alpha‒beta (8-30 Hz) power decrease and the post-target N400 event-related potential (ERP) effect, ‒ in a population with impaired speech-motor control, i.e., adults who stutter (AWS), compared to typically fluent adults (TFA). Participants listened to sentences that could either constrain towards a target word or not, allowing or not to make predictions. We analyzed time-frequency modulations in a silent interval preceding the target and ERPs at the presentation of the target. Results showed that, compared to TFA, AWS display: i) a widespread and bilateral reduced power decrease in posterior temporal and parietal regions, and a power increase in anterior regions, especially in the left hemisphere (high vs. low constraining) and ii) a reduced N400 effect (non-predictable vs. predictable). The results suggest a reduced efficiency in generating predictions in AWS with respect to TFA. Additionally, the magnitude of the N400 effect in AWS is correlated with alpha power change in the right pre-motor and supplementary motor cortex, a key node in the dysfunctional network in stuttering. Overall, the results support the idea that processes and neural structures prominently devoted to speech planning and execution support prediction during language comprehension.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Guerra2021,

title = {The coding of object thickness in plants: when roots matter},

author = {Guerra, S and Bonato, B and Wang, Q and Ceccarini, F and Peressotti, A and Peressotti, F and Bulgheroni, M and Castiello, U},

url = {https://doi.org/10.1037/com0000289},

doi = {https://doi.org/10.1037/com0000289},

year  = {2021},

date = {2021-08-19},

journal = {Journal of Comparative Psychology},

volume = {135},

number = {4},

pages = {495-504},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Ceccarini2021,

title = {On-line control of movement in plants},

author = {Ceccarini, Francesco and Guerra, Silvia and Peressotti, Alessandro and Peressotti, Francesca and Bulgheroni, Maria and Baccinelli, Walter and Bonato, Bianca and Castiello, Umberto },

url = {https://doi.org/10.1016/j.bbrc.2020.06.160},

doi = {https://doi.org/10.1016/j.bbrc.2020.06.160},

year  = {2021},

date = {2021-07-16},

journal = {Biochemical and Biophysical Research Communications},

volume = {564},

pages = {86-91},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Simonetti2021,

title = {Can plants move like animals? A three-dimensional stereovision analysis of movement in plants},

author = {Simonetti, V and Bulgheroni, M and Guerra, S and Peressotti, A and Peressotti, F and Baccinelli, W and Ceccarini, F and Bonato, B and Wang, Q and Castiello, U},

url = {https://doi.org/10.3390/ani11071854 },

doi = {https://doi.org/10.3390/ani11071854 },

year  = {2021},

date = {2021-06-22},

journal = {Animals},

volume = {11},

number = {7},

pages = {1854},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Bonato2021,

title = {Cracking the code: a comparative approach to plant communication},

author = {Bianca Bonato and Francesca Peressotti and Silvia Guerra and Qiuran Wang and Umberto Castiello},

url = { https://doi.org/10.1080/19420889.2021.1956719},

doi = {DOI: 10.1080/19420889.2021.1956719},

year  = {2021},

date = {2021-01-01},

journal = {Communicative & Integrative Biology},

volume = {14},

pages = {176-185},

publisher = {Taylor & Francis Group},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lorenzoni2021dimensionsb,

title = {Dimensions of social categorization: Inside the role of language},

author = { Anna Lorenzoni and Mikel Santesteban and Francesca Peressotti and Cristina Baus and Eduardo Navarrete},

url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0254513},

doi = {https://doi.org/10.1371/journal.pone.0254513},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Plos one},

volume = {16},

number = {7},

pages = {e0254513},

publisher = {Public Library of Science San Francisco, CA USA},

abstract = {The present pre-registration aims to investigate the role of language as a dimension of social categorization. Our critical aim is to investigate whether language can be used as a dimension of social categorization even when the languages coexist within the same sociolinguistic group, as is the case in bilingual communities where two languages are used in daily social interactions. We will use the memory confusion paradigm (also known as the Who said what? task). In the first part of the task, i.e. encoding, participants will be presented with a face (i.e. speaker) and will listen to an auditory sentence. Two languages will be used, with half of the faces always associated with one language and the other half with the other language. In the second phase, i.e. recognition, all the faces will be presented on the screen and participants will decide which face uttered which sentence in the encoding phase. Based on previous literature, we expect that participants will be more likely to confuse faces from within the same language category than from the other language category. Participants will be bilingual individuals of two bilingual communities, the Basque Country (Spain) and Veneto (Italy). The two languages of these communities will be used, Spanish and Basque (Study 1), and Italian and Venetian dialect (Study 2). Furthermore, we will explore whether the amount of daily exposure to the two languages modulates the effect of language as a social categorization cue. This research will allow us to test whether bilingual people use language to categorize individuals belonging to the same sociolinguistic community based on the language these individuals are speaking. Our findings may have relevant political and social implications for linguistic policies in bilingual communities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}