34.1031, Calls: PhonolEEGy 2

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LINGUIST List: Vol-34-1031. Mon Mar 27 2023. ISSN: 1069 - 4875.

Subject: 34.1031, Calls: PhonolEEGy 2

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================================================================


Date: 
From: Arild Hestvik [hestvik at udel.edu]
Subject: PhonolEEGy 2


Full Title: PhonolEEGy 2
Short Title: PhonolEEGy

Date: 24-Jun-2023 - 25-Jun-2023
Location: Amherst, Massachusetts/LSA Summer Institute, USA
Contact Person: Arild Hestvik
Meeting Email: psycholinguistics at udel.edu
Web Site: http://sites.udel.edu/phonolEEGy2

Linguistic Field(s): Cognitive Science; Linguistic Theories;
Neurolinguistics; Phonology; Psycholinguistics

Call Deadline: 15-Apr-2023

Meeting Description:

The goal of the PhonolEEGy conference is to intersect experimental
research based on EEG / MEG with phonological theory. While EEG /
MEG-based research concerning linguistically relevant sound and its
patterning (phonology) is growing, work that explicitly addresses
phonological theory is still relatively limited. The conference aims
at promoting EEG / MEG-based experimental evidence as it informs
phonological theory in order to grow the intersection of these fields.

The conference will take the form of a two-day meeting where
stabilized or fresh-from-the-lab results are presented, also with room
for discussing methodology, experiment design and emerging projects.
Contributors are invited to present not only their data and
interpretation, but also the bigger picture of how they view phonology
in a linguistic context and the role of neurophysiological evidence in
phonological theory.

Most existing work that brings EEG / MEG-based evidence to bear on
phonological theory is based on (asymmetric) MMN and the idea that
varying standards in MMN stimulus presentation allows us to elicit
phonological (rather than phonetic) categories that MMN will reflect
(Phillips et al. 2000). While this has proven to be a fruitful
experimental setting, contributions using experimental protocols
different from (asymmetric) MMN are especially invited, as are those
using production data, which are also underrepresented in the field.
EEG / MEG-based work also addresses aspects of phonology that are not
directly relevant to phonological theory such as the transformation of
the continuous acoustic signal into discrete phonological categories
that are manipulated by the cognitive system, perception and
production routines in phonological or auditory processing, neural
encoding and localization of phonological items in the brain (such as
segments, alternations or markedness), preattentive or sublexical
speech processing, processing of different types of phonological items
(well- vs. ill-formed, phonemic vs. allophonic), or the kind of
information stored in a phoneme (phonetic vs. more abstract). This
research often pursues goals that do not speak to issues in
phonological theory per se, but which are actually relevant.
Contributions in this area are invited to make explicit in which way
their experimental evidence or results impact phonological theory.
Finally, contributions are also invited which do not involve genuine
neurophysiological data but rather link existing EEG / MEG-based
evidence with phonological theory.

After its initial venue in Nice / France in Fall 2020, the second
installment of the PhonolEEGy conference comes in the guise of a
satellite event during the Linguistic Society of America’s (LSA) 2023
Summer Institute, held at UMASS/Amherst. In this context, we are
specifically encouraging undergraduate and graduate student attendees
at the LSA institute to participate as audience and presenters.

2nd Call for Papers:

The deadline for abstracts have been extended from March 25 to April
15.

Please submit an anonymous abstract that does not exceed 600 words
(one inch margin, Arial 11pt font, please include a word count). The
title should be visible and figures / tables / references may be
included on a separate page. Figure captions and table legends should
not contain excessive amounts of substantial text (i.e., should not be
used to circumvent the length limit on the main text).

Abstract submission is currently open via the Easy Abstract platform
(http://linguistlist.org/easyabs/phonolEEGy2).



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