Liina Pylkkanen - US grants
Affiliations: | Linguistics, Psychology | New York University, New York, NY, United States |
Website:
http://homepages.nyu.edu/~mp108/We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the NIH Research Portfolio Online Reporting Tools and the NSF Award Database.The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please sign in and mark grants as correct or incorrect matches.
High-probability grants
According to our matching algorithm, Liina Pylkkanen is the likely recipient of the following grants.Years | Recipients | Code | Title / Keywords | Matching score |
---|---|---|---|---|
2006 — 2010 | Pylkkanen, Liina | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Neural Bases of Semantic Interpretation @ New York University Although our understanding of the brain bases of semantic interpretation is beginning to be detailed at the level of individual lexical items, the neural mechanisms by which complex meanings are composed are still entirely unknown. With National Science Foundation support, Dr. Pylkkanen will conduct a three-year investigation aimed at elucidating the spatio-temporal dynamics of complex meaning composition. Brain activity will be measured with magnetoencephalography (MEG), which offers the best combination of spatial and temporal resolution of currently available cognitive neuroscience methods. One of the most fascinating features of human language is that many meanings are not expressed overtly. For example, when a sentence such as "the boy shut the door tight" is encountered, all English speakers immediately and automatically know that this sentence describes a causal relation between an event of shutting and a state of tightness even though no overt element in the sentence describes causality. Further, all speakers converge on the interpretation that the state of tightness does not hold of the explicitly mentioned door, but rather of some unmentioned closure between the door and its frame. This project focuses on the interpretation of covert meaning, as it offers a unique opportunity to study semantic composition while largely eliminating phonological and syntactic processing. The project covers multiple levels of representational complexity and involves three sets of studies: one investigating covert complexity in individual lexical items that appear to be simple, another on the effect of semantic opacity in the processing of overtly complex words such as "sweat-er", and a third on covert meaning composition at the sentence level. The project represents a novel type of combination of cognitive neuroscience methodology with detailed representational hypotheses emerging from theoretical linguistics, reflecting Dr. Pylkkanen's combined training in the two fields. An integral part of this research is bringing together a diverse group of students and faculty from linguistics, psychology and medical and/or neuroscience backgrounds. Finally, the clinical applications of the project are potentially substantial. Semantic impairment characterizes a vast array of neurological disorders, including aphasias, schizophrenia, developmental disorders such as autism, and neurodegenerative diseases. A prerequisite for understanding semantic malfunction is first understanding how the healthy brain accesses and computes meaning. |
1 |
2012 — 2017 | Pylkkanen, Liina | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
The Computations of the Composing Brain: Cross-Modal Generality and Computational Specificity @ New York University One of the most impressive aspects of human cognition is our ability to produce and comprehend an infinite range of expressions, built from a finite set of lexical items in our long-term memory. Although composition is a defining characteristic of human language, its neurobiology is still largely uncharacterized. Specifically, current models lack computational detail as to the specific functions executed by various "combinatory brain regions." Consequently, rehabilitation strategies for brain damaged individuals suffering sentence processing problems are similarly generic, not targeting specific computations. Second, while composition during comprehension has been studied for decades, we know almost nothing about composition in language production, mostly due to methodological reasons: movement artifacts during talking compromise almost every type of brain data. |
1 |
2018 — 2020 | Small, Steven Emmorey, Karen (co-PI) [⬀] Peelle, Jonathan Pylkkanen, Liina Marantz, Alec (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
An Open Science Platform For the Neurobiology of Language Community @ University of California-Irvine The advent of non-invasive brain imaging at high spatial and temporal resolution in awake, behaving human beings has had a profound impact on the study of language in the brain. It is now the ten-year anniversary of the first international conference on the Neurobiology of Language, a field that has grown substantially since then and continues to blossom. Studying the neurobiology of language requires highly specialized skills (e.g., brain imaging) and broad multidisciplinary knowledge (e.g., psychology, linguistics, neuroscience). In order to promote scientific inquiry of the highest quality, it is vital to promote dialogue and interaction among the relevant disciplines. This project explores how to facilitate this interaction. |
0.954 |
2018 — 2020 | Kim, Songhee (co-PI) [⬀] Pylkkanen, Liina |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Doctoral Dissertation Research: Neural Bases of Semantic Composition in the Verb Phrase @ New York University The richness of natural language semantics stems from the ability to compose elements together and to derive novel meanings from these combinations. Understanding this ability has been a central goal in the neurobiology of language, as well as in theoretical linguistics. However, despite a rapidly growing body of research, the brain basis of composition has been vaguely understood at best. Most of the progress during the last decade has been limited to general descriptions of the sentence level, identifying a network of brain areas recruited for the composition of sentential meaning but not further specifying how the individual facets of sentence composition are encoded. Considering the assumption in formal semantics that composition can happen via at least two different rules, understanding very basic instances of composition in various linguistic environments is an essential first step for characterizing the neural basis of sentence interpretation. To this end, this dissertation takes a bottom-up approach, investigating neural substrates of small units of composition, with its focus on English verb phrases. Disentangling the two major modes of composition around a verb, namely modification (e.g., paint + slowly) and saturation of arguments (e,g., paint + a picture), this work aims to provide an answer to the question of how the meaning of a complex event description, e.g., "John reluctantly painted a picture," is composed from the various event elements, i.e., John (agent), reluctantly (manner), painted (action), and a picture (object). This work aims to lay a critical foundation for a computationally detailed characterization of full sentence composition. |
1 |
2019 — 2022 | Pylkkanen, Liina | N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
@ New York University The proliferation of noninvasive methods to study brain function has revolutionized the neuroscience of language, a uniquely human ability that cannot be studied in animals. So far, most of this research has focused on the adult's brain, as opposed to the child's. Given our poor understanding of the neurobiology of language development, we lack an important background for understanding children's language disorders and for planning surgical treatments for children with neurological disorders such as epilepsy, since such surgeries need to spare language cortex. This project uses magnetoencephalography (MEG) to establish this critical background. The focus will be on two basic processes that form the foundation of human language: word retrieval and the composition of words into larger phrases. Elementary school children from New York City public schools will be invited to participate via science outreach activities in the schools. The data will be entered into a public database that will provide a resource for research and education. The experimental protocol is a combination of a tightly controlled design, built upon prior research on adults, and a naturalistic stimulus, containing fun science-themed narratives. Data from the naturalistic stimulus will offer vast analysis possibilities. To assure that the possibilities are maximally leveraged by researchers, these data will be released to the public on a rapid timescale, at the end each project year. This work will offer research opportunities for graduate and undergraduate students. The project is also a significant STEM opportunity for the participating children, as during the lab visit, the experimenter will explain the basics of MEG and how one can capture tiny magnetic fields inside human brains. Overall, the project aims to transform the neuroscience of language in children by providing the basic science that is needed for more detailed understanding to emerge in the future. |
1 |