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Normalized value coding explains dynamic adaptation in the human valuation process.

ABSTRACT: The notion of subjective value is central to choice theories in ecology, economics, and psychology, serving as an integrated decision variable by which options are compared. Subjective value is often assumed to be an absolute quantity, determined in a static manner by the properties of an individual option. Recent neurobiological studies, however, have shown that neural value coding dynamically adapts to the statistics of the recent reward environment, introducing an intrinsic temporal context dependence into the neural representation of value. Whether valuation exhibits this kind of dynamic adaptation at the behavioral level is unknown. Here, we show that the valuation process in human subjects adapts to the history of previous values, with current valuations varying inversely with the average value of recently observed items. The dynamics of this adaptive valuation are captured by divisive normalization, linking these temporal context effects to spatial context effects in decision making as well as spatial and temporal context effects in perception. These findings suggest that adaptation is a universal feature of neural information processing and offer a unifying explanation for contextual phenomena in fields ranging from visual psychophysics to economic choice.

SUBMITTER: Khaw MW

PROVIDER: S-EPMC5715785 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Normalized value coding explains dynamic adaptation in the human valuation process.

Khaw Mel W MW Glimcher Paul W PW Louie Kenway K

Proceedings of the National Academy of Sciences of the United States of America 20171113 48

The notion of subjective value is central to choice theories in ecology, economics, and psychology, serving as an integrated decision variable by which options are compared. Subjective value is often assumed to be an absolute quantity, determined in a static manner by the properties of an individual option. Recent neurobiological studies, however, have shown that neural value coding dynamically adapts to the statistics of the recent reward environment, introducing an intrinsic temporal context d ...[more]

PMID: 29133418

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Project description:The brain uses information from different sensory systems to guide motor behavior, and aging is associated with simultaneous decline in the quality of sensory information provided to the brain and deterioration in motor control. Correlations between age-dependent decline in sensory anatomical structures and behavior have been demonstrated in many sensorimotor systems, and it has recently been suggested that a Bayesian framework could explain these relationships. Here we show that age-dependent changes in a human sensorimotor reflex, the vestibuloocular reflex, are explained by a Bayesian optimal adaptation in the brain occurring in response to death of motion-sensing hair cells. Specifically, we found that the temporal dynamics of the reflex as a function of age emerge from ( r = 0.93, P < 0.001) a Kalman filter model that determines the optimal behavioral output when the sensory signal-to-noise characteristics are degraded by death of the transducers. These findings demonstrate that the aging brain is capable of generating the ideal and statistically optimal behavioral response when provided with deteriorating sensory information. While the Bayesian framework has been shown to be a general neural principle for multimodal sensory integration and dynamic sensory estimation, these findings provide evidence of longitudinal Bayesian processing over the human life span. These results illuminate how the aging brain strives to optimize motor behavior when faced with deterioration in the peripheral and central nervous systems and have implications in the field of vestibular and balance disorders, as they will likely provide guidance for physical therapy and for prosthetic aids that aim to reduce falls in the elderly. NEW & NOTEWORTHY We showed that age-dependent changes in the vestibuloocular reflex are explained by a Bayesian optimal adaptation in the brain that occurs in response to age-dependent sensory anatomical changes. This demonstrates that the brain can longitudinally respond to age-related sensory loss in an ideal and statistically optimal way. This has implications for understanding and treating vestibular disorders caused by aging and provides insight into the structure-function relationship during aging.

Project description:BackgroundIn 2005, Chile became the first country in Latin America to guarantee universal free access for the diagnosis and treatment of schizophrenia. A cluster randomized control trial utilizing the Dynamic Adaptation Process framework is underway to adapt and test the OnTrack coordinated specialty care model to provide recovery-oriented, person-centered care by a multidisciplinary team for individuals with first episode psychosis (FEP) in Chile.MethodsA qualitative formative research study was conducted to inform the initial adaptation of the OnTrack Chile (OTCH) program. We conducted key informant interviews (n = 17) with various stakeholders (policymakers; directors/managers of community mental health centers; mental health professionals) and focus group discussions (n = 6) with individuals with FEP and caregivers (n = 35 focus group participants total). Data was analyzed using thematic analysis, organized by participants' perspectives on the benefits, barriers, and recommendations for the key principles, multidisciplinary team, psychosocial components, and the training and supervision model of OnTrack.ResultsParticipants expressed enthusiasm and support for OnTrack's recovery-oriented and person-centered principles of care. While many participants lauded the emphasis on shared decision-making and family involvement, some reported reticence, citing that it is culturally normative for patients and families to adopt a passive role in treatment. Peer specialists, and the family psychoeducation and support and supported education and employment components were perceived as aspects that could encourage the promotion of personhood and autonomy development. However, implementation challenges, including the prevailing biomedical approach, professional hierarchy, and the lack of infrastructure, human, and financial resources necessitate some modifications to these aspects. Some mental health professionals further conveyed reservations regarding the perceived hierarchical structure of the supervision model.ConclusionOnTrack represents a shift from a biomedical model to a valued, aspirational, person-centered and culturally responsive model that focuses on recovery, shared decision-making and psychosocial care. With the appropriate governmental and agency-level provision of resources and modifications to some of the program components, particularly regarding the shared decision-making framework, peer specialist, family engagement, and the training supervision model, OTCH could be a transformative program for a more comprehensive, evidence-based care for individuals with FEP in Chile.

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Normalized value coding explains dynamic adaptation in the human valuation process.

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Normalized value coding explains dynamic adaptation in the human valuation process.

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