The objective of the proposed predoctoral training program is to train the next generation of behavioral science researchers to skillfully incorporate neuroscience perspectives and methods into their programs of research, based on an understanding of brain structure and function that extends across traditional areas of behavioral research. The Behavioral Brain (B2) Research Training Program has the specific aim of providing graduate students committed to research at the interface of the behavioral and brain sciences with foundational training in neuroscience methods and perspectives, through coursework and laboratory-based research experiences. Moreover, trainees receive deep training in behavioral science research, via courses and independent programs of research. Finally, we aim for continued infusion of cross- cutting perspectives, through co-mentoring, laboratory rotation experiences, and program forums that foster exposure to behavioral and brain science research. We believe that basic research focused on the interface between behavior and the brain is crucial for understanding the mechanisms and treatment of a large number of human health issues that cut across NIH Institutes. Because NIGMS has a broad mission, it is the natural home of a training program that aims to bridge behavioral and biomedical approaches across traditionally separate lines of inquiry in the behavioral sciences. By focusing upon the brain as a common substrate, we believe progress in different subfields of behavioral research can be most effectively integrated, thus leveraging advances in one area into other domains of study. This training program focuses on three major research themes to accomplish integration: Representation &Communication;Evaluation &Control;Learning, Memory, &Plasticity. The training program is jointly coordinated by the University of Pittsburgh and Carnegie Mellon University. Situated within blocks of one another and possessing excellence in both behavioral research and neuroscience, the institutions share a long history of collegiality and cooperation in graduate training that can be leveraged to broaden and deepen the neuroscience training of the next generation of behavioral science students.
Basic research focused on the interface between behavior and the brain is crucial for understanding the mechanisms and treatment of a large number of human health issues. This training program aims to provide graduate students committed to research at the interface of the behavioral and brain sciences with foundational training in neuroscience research methods and perspectives, through coursework and laboratory-based research experiences.
|Alvarez, Travis A; Fiez, Julie A (2018) Current perspectives on the cerebellum and reading development. Neurosci Biobehav Rev 92:55-66|
|Braham, Emily J; Libertus, Melissa E; McCrink, Koleen (2018) Children's spontaneous focus on number before and after guided parent-child interactions in a children's museum. Dev Psychol 54:1492-1498|
|Wilckens, Kristine A; Erickson, Kirk I; Wheeler, Mark E (2018) Physical Activity and Cognition: A Mediating Role of Efficient Sleep. Behav Sleep Med 16:569-586|
|Skrzynski, Carillon; Creswell, Kasey G; Bachrach, Rachel L et al. (2018) Social discomfort moderates the relationship between drinking in response to negative affect and solitary drinking in underage drinkers. Addict Behav 78:124-130|
|Collins, Elliot; Robinson, Amanda K; Behrmann, Marlene (2018) Distinct neural processes for the perception of familiar versus unfamiliar faces along the visual hierarchy revealed by EEG. Neuroimage 181:120-131|
|Roark, Casey L; Holt, Lori L (2018) Task and distribution sampling affect auditory category learning. Atten Percept Psychophys 80:1804-1822|
|Collins, Elliot; Dundas, Eva; Gabay, Yafit et al. (2017) Hemispheric Organization in Disorders of Development. Vis cogn 25:416-429|
|Shaaban, C E; Aizenstein, H J; Jorgensen, D R et al. (2017) In Vivo Imaging of Venous Side Cerebral Small-Vessel Disease in Older Adults: An MRI Method at 7T. AJNR Am J Neuroradiol 38:1923-1928|
|Lindsay, Emily K; Creswell, J David (2017) Mechanisms of mindfulness training: Monitor and Acceptance Theory (MAT). Clin Psychol Rev 51:48-59|
|Liu, Allison S; Schunn, Christian D (2017) Applying math onto mechanisms: mechanistic knowledge is associated with the use of formal mathematical strategies. Cogn Res Princ Implic 2:6|
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