Daniel Mirman, Ph.D. - US grants
Affiliations: | 2009-2013 | Moss Rehabilitation Research Institute, Elkins Park, PA, United States | |
| 2013-2016 | Psychology | Drexel University, Philadelphia, PA, United States | |
| 2016-2019 | Psychology | University of Alabama, Birmingham, Birmingham, AL, United States | |
| 2019- | Psychology | Universiry of Edinburgh, UK |
Area:
Language, Neural Networks, AphasiaWebsite:
http://www.danmirman.orgWe 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.
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High-probability grants
According to our matching algorithm, Daniel Mirman is the likely recipient of the following grants.| Years | Recipients | Code | Title / Keywords | Matching score |
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| 2004 — 2005 | Mirman, Daniel | F31Activity Code Description: To provide predoctoral individuals with supervised research training in specified health and health-related areas leading toward the research degree (e.g., Ph.D.). |
Interactive Processing in Speech Perception @ Carnegie-Mellon University DESCRIPTION (provided by applicant): One of the central dichotomies in theories of cognitive processing is between autonomous theories based on strictly feed forward processing and interactive theories that posit bi-directional flow of information. Speech perception is a particularly interesting battleground for this debate because there is now a vast store of evidence demonstrating lexical level effects on phoneme identification. Some researchers have argued that interactive processing in speech perception is not supported by existing data and that an interactive model is lot consistent with the data. There are three challenges that have not been addressed by the interactive view: lack of lexical inhibition, effects of shifting attention, and lexically mediated phonetic category tuning. The proposed research addresses the lack of lexical inhibition using simulations to show that an interactive model is consistent with the existing data and by experimentally testing predictions from further simulations. A model extension is proposed that adds a mechanism for shifting attention within an interactive framework and proposed experiments test predictions from this mechanism. Finally, proposed simulations test a learning mechanism designed to account for lexically mediated tuning of phonetic categories. |
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| 2006 — 2008 | Mirman, Daniel | F32Activity Code Description: To provide postdoctoral research training to individuals to broaden their scientific background and extend their potential for research in specified health-related areas. |
Access of Semantic Knowledge During Speech Perception @ University of Connecticut Storrs [unreadable] DESCRIPTION (provided by applicant): Most efforts to understand the mechanisms and processes underlying speech perception have not examined how semantic knowledge is accessed during speech perception. The proposed research aims to investigate how meaning is accessed during spoken word comprehension using behavioral and eye-tracking methods and to develop a mechanistic theory of speech perception that incorporates activation of semantic representations. Proposed behavioral experiments test the effect of semantic neighborhood density on word recognition and compare the importance of rare and frequent semantic features in determining semantic similarity. Proposed eye tracking experiments provide fine-grained convergent data that will further elucidate how semantic knowledge is accessed from spoken input. A proposed computational model will integrate semantic knowledge in speech processing to account for the behavioral and eye tracking results and to make novel predictions. [unreadable] [unreadable] [unreadable] |
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| 2010 — 2014 | Mirman, Daniel | R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Dynamics of Spoken Word Comprehension in Aphasia @ Albert Einstein Healthcare Network DESCRIPTION (provided by applicant): Aphasia is a stroke-related disability of language processing that affects about one million people in the United States. Human activity is so dependent on spoken communication that impairments of spoken language processing, such as aphasia, can be devastating. In addition to functional impairments such as inability to work, language impairments can also cause social isolation and its consequent negative outcomes on mental and physical health. Because language processing calls on many different cognitive faculties, aphasia may have many different underlying causes and each aphasic individual may have a subtly different impairment. Designing effective rehabilitation strategies depends on our understanding of the nature of the impairment, thus, the focus of this proposal is on using behavioral experiments and computational modeling methods to develop a formal theory of aphasic spoken word comprehension. The proposed experiments will investigate phonological, semantic, and cognitive control aspects of word processing in a large and diverse set of aphasic individuals and unimpaired control participants using behavioral and eye tracking measures. These measures will provide new insights into the dynamics of word processing in aphasia. Computational modeling will be used to develop and test formal accounts of word processing deficits in aphasia. With a better understanding of the underlying causes of aphasic language impairments and a formal model of aphasia, more effective rehabilitation strategies can be developed. PUBLIC HEALTH RELEVANCE: This project will apply innovative behavioral, eye-tracking, and computational modeling techniques to better understand word processing in aphasic patients. The investigations are likely to contribute substantially to the understanding of language impairments in aphasia and to the development of novel rehabilitation strategies for aphasia. |
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| 2019 — 2021 | Mirman, Daniel Szaflarski, Jerzy P |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Cognitive and Neural Basis of Functional Communication Deficits in Post-Stroke Aphasia @ University of Alabama At Birmingham Project Summary/Abstract Aphasia is an impairment of language that is a common consequence of stroke and has serious negative effects on health and well-being. Aphasia diagnosis continues to be organized around a 19th century model of the neural basis of language, but cognitive neuroscience research over the last 15-20 years has converged to a very different model of the cognitive and neural organization of spoken language. This contemporary model provides a precise computational account of the sub-systems that support spoken language, but does not explain how those sub-systems produce functional communication ? the outcome that is most important to people with aphasia and to clinicians. The long-term goal of this project is to develop theory-informed, clinically-relevant prognostic tools that combine behavioral and neuroimaging information. The overall objective of this application is to determine the relationships between spoken functional communication impairments of language sub-systems, and neuroanatomical disruption in chronic post-stroke aphasia. The overall project is divided into three specific aims: (1) Determine how spoken functional communication is related to deficits in language sub-systems. We will test how the three key language sub-systems ? semantics, phonology, and sentence planning ? are related to functional communication in a large sample of individuals with post-stroke aphasia. (2) Identify the lesion correlates of spoken functional communication deficits using lesion-symptom mapping. We will conduct the first LSM study of spoken functional communication using multimodal neuroimaging and machine learning tools to discover robust lesion correlates of spoken functional communication. (3) Develop a prediction model of chronic language sub-system and functional communication deficits based on acute lesion data. Routine clinical neuroimaging data collected in the acute stage (48-72 hours after stroke) will be used to build and evaluate a prediction model of chronic deficits in language sub- systems and functional communication. Upon completion of this project, we will have determined how behavioral deficits and lesion patterns are related to functional communication deficits, and developed a prediction model of such deficits based on acute-stage clinical neuroimaging. This integration of psycholinguistics, neuroanatomy, and functional communication will provide theory-informed, clinically-relevant predictions of communication deficits. This project addresses NIDCD Strategic Priority Area 3 (Improving Diagnosis, Treatment, and Prevention) by developing a neural biomarker of objective diagnosis and prognosis for acquired language impairments. |
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