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SRNDNA 2015 Conference


  • Trump International Miami 18001 Collins Avenue Sunny Isles Beach, FL, 33160 United States (map)

The network hosted a 2-day conference in Miami on March 6-7 2015 in Miami.

SCHEDULE

Friday

9:00-10:00 Breakfast

10:00-11:00 Session 1: Valuation and Cognition

Welcome; overview of SRNDNA
Gregory Samanez-Larkin

Neural responses to monetary incentives in younger and older adults
Julia Spaniol

11:00-11:15 Coffee Break

11:15-12:15 Session 2: Experience, Learning, and Decision Making

Age-related deficits in prefrontal learning mechanisms
Ben Eppinger

Knowing what you don’t know: age-related deficits in representing uncertainty
Matthew Nassar

12:15-1:45 Lunch

1:45-2:45 Session 3: Learning, Attention, and Decision Making

Effects of aging on the interaction between reinforcement learning and attention
Yael Niv

Noradrenergic influences on cognition and affect among older adults
Mara Mather

2:45-3:00 Coffee Break

3:00-4:00 Session 4: Modulation of Reward and Choice

Acute stress and age differences in reward processing and executive function
Anthony Porcelli*

Oxytocin, aging, and prosocial decision making
Natalie Ebner*

4:00-6:00 Reception and Poster Session

Resting brain signal dynamics reflect lifespan development and system dimensionality in canonical decision-making regions
Douglas D. Garrett1,2 & Ulman Lindenberger1,2
1Center for Lifespan Psychology, Max Planck Institute for Human Development, 2Max Planck-UCL Centre for Computational Psychiatry and Ageing Research

Meta-analysis of PET imaging studies of adult age differences in the dopamine system
Todd A. Hagen1, Casey McLaughlin1, Anika Josef2,Rui Mata3, Gregory R. Samanez-Larkin1
1Yale University, 2Max Planck Institute for Human Development, 3University of Basel

Individual differences in dopamine receptors and reward-related BOLD activity
Linh Dang1, Gregory R. Samanez-Larkin1, Jaime Castrellon1, Scott Perkins1, Ronald Cowan1, David H. Zald1
1Vanderbilt University, 2Yale University

Neural subjective value representations depend on costs: delay, physical effort, and probability discounting
Marissa A. Gorlick1, Todd A. Hagen1, Nickolas Brooks1, Linh Dang2, Ming Hsu3, David H. Zald2, Gregory R. Samanez-Larkin1
1Yale University, 2Vanderbilt University, 3University of California Berkeley

Age differences in discounting of time, effort, and probability  across monetary, social, and health domains
Catherine A.C. Holland1, Marissa A. Gorlick1, Ming Hsu2, David H. Zald3, Gregory R. Samanez-Larkin1
1Yale University, 2University of California Berkeley, 3Vanderbilt University

Effects of age and intranasal oxytocin on prosocial decision-making
Marilyn Horta1, Tian Lin1, Hakan Fischer2, Ronald A. Cohen3, David Feifel4 & Natalie C. Ebner1,3
1Department of Psychology, University of Florida, 2 Department of Psychology, Stockholm University, 3Department of Aging and Geriatric Research, University of Florida, 4Department of Psychiatry, University of California, San Diego

Effects of intranasal oxytocin on trust-related decision making in aging
Tian Lin1, Marilyn Horta1, Hakan Fischer2, Ronald A. Cohen3, David Feifel4 & Natalie C. Ebner1,3
1Department of Psychology, University of Florida, 2Department of Psychology, Stockholm University, 3Department of Aging and Geriatric Research, University of Florida, 4Department of Psychiatry, University of California, San Diego

Distinct reward properties are encoded via interactions between nucleus accumbens and temporal parietal junction
David V. Smith1, Kainan (Sally) Wang1, Anastasia E. Rigney1 & Mauricio R. Delgado1
1Rutgers University

Age differences in brain response to cues that signal the value of to-be-remembered information
Michael S. Cohen1, Jesse Rissman1, Nanthia A. Suthana2, Alan D. Castel1 & Barbara J. Knowlton1
1Department of Psychology, University of California, Los Angeles, 2Department of Neurosurgery, University of California, Los Angeles

Value attenuates age-related deficits in rule-based category learning
Sharon M. Noh1, Veronica X. Yan2, Alan D. Castel2 & W. Todd Maddox1
1University of Texas, Austin, 2University of California, Los Angeles

Naturalistic information-integration category learning: Value boosts learning of lower-order categories for older adults, but not younger adults
Veronica X. Yan1, Sharon M. Noh2, W. Todd Maddox2 & Alan D. Castel1
1University of California, Los Angeles, 2University of Texas, Austin

Effects of framing on older adults’ exploratory decision-making
Jessica A. Cooper1, Vaibhav Sapuram1 & W. Todd Maddox1
1University of Texas, Austin

The effects of aging on the neural correlates of processing positive and negative feedback in the probabilistic selection task
Robert West1, Annmarie Huet1, Stephen Anderson1 & Anna Slavina1
1Department of Psychology, Iowa State University

Factors of age-related differences in adaptive learning across the lifespan
Rasmus Bruckner1,2, Matthew R. Nassar3, Shu-Chen Li2,4 & Ben Eppinger2
1Department of Psychology, Humboldt-Universität zu Berlin, 2Chair of Lifespan Developmental Neuroscience, Department of Psychology, TU Dresden, 3Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, 4Center for Lifespan Psychology, Max Planck Institute for Human Development

Impaired learning in multidimensional environments in healthy aging
Reka Daniel1, Angela Radulescu2 & Yael Niv1,2
1Princeton Neuroscience Institute, 2Department of Psychology, Princeton University

Learning of probabilistic relationships predicts decision-making performance in young and older adults
Kendra L. Seaman1,2, Katy O’Neil2, Darlene V. Howard3 & James H. Howard, Jr.2,3,4
1Department of Psychology, Yale University, 2Department of Psychology, The Catholic University of America, 3Department of Psychology, Georgetown University, 4Department of Neurology, Georgetown University

Risky choices on the Balloon Analog Risk Task are positively associated with individual differences in dopamine reactivity in left ventrolateral prefrontal cortex (vlPFC) and right superior frontal gyrus (SFG)
Christopher T. Smith1, Linh Dang1, Ronald L. Cowan1,3, Robert M. Kessler2, David H. Zald1,3
1Department of Psychology, Vanderbilt University, Nashville, TN 37240 2Department of Radiology, UAB School of Medicine 3Department of Psychiatry, Vanderbilt University School of Medicine

How can research on the neural correlates of risk taking in younger adults inform research on aging?
Loreen Mamerow1, Lilla Horvath2, Renato Frey1,2, Andreas Horn2, Dirk Ostwald3, Felix Blankenburg4, Ralph Hertwig2 & Rui Mata1,2
1Center for Cognitive and Decision Sciences, University of Basel, 2Center for Adaptive Rationality, Max Planck Institute for Human Development, 3Computational Cognitive Neuroscience, Free University Berlin, 4Neurocomputation and Neuroimaging Unit, Free University Berlin

Age differences in strategy selection and risk preference during risk-based decision making
Rachel D. Samson1,2 & Carol A. Barnes1,2,3
1Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, 2ARL Division of Neural Systems, Memory & Aging, University of Arizona, Tucson, 3Departments of Psychology, Neurology, and Neuroscience, University of Arizona, Tucson

Age-related differences in financial decision making: a process-tracing approach
Sangsuk Yoon1, Khoi Vo1 & Vinod Venkatraman1
1Center for Neural Decision Making, Fox School of Business

A description-experience gap in younger and older adults’ evaluation of medical screening tests
Bonnie A. Armstrong1 & Julia Spaniol1
1Department of Psychology, Ryerson University

Saturday

9:00-10:00 Breakfast

10:00-11:30 Session 5: Learning, Memory, and Choice

Neuromodulation and decision making in old age
Emrah Düzel

Feedback-based learning in aging: Specific contributions of striatal and hippocampal systems
Nichole Lighthall*

11:30-11:45 Coffee Break

11:45-12:45 Session 6: Risky Decision Making

Decision-making under uncertainty in aging and mental illness
Ifat Levy

The framing effect in decision making
Natalie Denburg

12:45-1:45 Lunch

1:45-3:15 Session 7: From the Lab to Everyday Life

Age differences in risk taking
Rui Mata

From risky choice to annuities: differential effects of aging on decision strategies
Vinod Venkatraman*

Complementary cognitive capabilities
Eric Johnson

3:15-3:30 Coffee Break

3:30-4:30 Session 8: Further Developing Models and Theories of Aging

Normal human cognitive aging: implications for decision making
Ulman Lindenberger

Decision making in the aging brain: where to from here?
Gregory Samanez-Larkin

4:30 Closing Remarks
Lis Nielsen

* SRNDNA Pilot Grant Awardees