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Neuronal mechanisms underlying addiction have been attracting attention in neurobiology, economics, neuropsychiatry, and neuroeconomics. This paper proposes a possible link between economic theory of addiction (Becker and Murphy, 1988) and…

Neurons and Cognition · Quantitative Biology 2011-11-29 Taiki Takahashi

Suicidal behavior is a leading cause of injury and death worldwide. Suicide has been associated with psychiatric illnesses such as depression and schizophrenia, as well as economic uncertainty, and social/cultural factors. This study…

Neurons and Cognition · Quantitative Biology 2012-12-04 Taiki Takahashi

Intertemporal choice has drawn attention in behavioral economics, econophysics, and neuroeconomics. Recent studies in mainstream economics have mainly focused on inconsistency in intertemporal choice (dynamic inconsistency); while…

Neurons and Cognition · Quantitative Biology 2012-12-04 Taiki Takahashi

Neuroeconomic conditions for "rational addiction" (Becker and Murphy, 1988) have been unknown. This paper derived the conditions for "rational addiction" by utilizing a nonlinear time-perception theory of "hyperbolic" discounting, which is…

Biological Physics · Physics 2012-12-04 Taiki Takahashi

Decision under risk and uncertainty has been attracting attention in neuroeconomics and neuroendocrinology of decision-making. This paper demonstrated that the neurotransmitter receptor theory-based value (utility) function can account for…

Biological Physics · Physics 2011-07-06 Taiki Takahashi

Substances of abuse are known to activate and disrupt neuronal circuits in the brain reward system. We propose a simple and easily interpretable dynamical systems model to describe the neurobiology of drug addiction that incorporates the…

Neurons and Cognition · Quantitative Biology 2026-05-12 Tom Chou , Maria D'Orsogna

Globally, the number of obese patients has doubled due to sedentary lifestyles and improper dieting. The tremendous increase altered human genetics, and health. According to the world health organization, Life expectancy dropped from 80 to…

Quantitative Methods · Quantitative Biology 2022-08-08 Amin Gasmi

Obesity is a serious public health concern world-wide, which increases the risk of many diseases, including hypertension, stroke, and type 2 diabetes. To tackle this problem, researchers across the health ecosystem are collecting diverse…

Machine Learning · Computer Science 2018-09-24 Qinghan Xue , Xiaoran Wang , Samuel Meehan , Jilong Kuang , Alex Gao , Mooi Choo Chuah

Modifications of signaling pathways and synapses owing to changing behaviors, environments, numerous neural modulation as well as brain-tissue injuries is defined as neuroplasticity in developmental neurology. The central purpose of the…

Neurons and Cognition · Quantitative Biology 2017-11-28 Shatrunjai P. Singh , Swagata Karkare

Effective treatments that prevent or reduce drug relapse vulnerability should be developed to relieve the high burden of drug addiction to society. This will only be possible by enhancing the understanding of the molecular mechanisms…

Biological Physics · Physics 2022-06-29 Mayte Bonilla-Quintana , Padmini Rangamani

Overweight and obesity remain a major global public health concern and identifying the individualized patterns that increase the risk of future weight gains has a crucial role in preventing obesity and numerous sub-sequent diseases…

Machine Learning · Computer Science 2021-11-09 Mina Samizadeh , Jessica C Jones-Smith , Bethany Sheridan , Rahmatollah Beheshti

Obesity does not emerge abruptly; rather, it develops gradually over extended periods. The gradual progression often prevents early recognition of physiological changes until excess adiposity is established. A common belief is that weight…

Quantitative Methods · Quantitative Biology 2026-03-18 Soheil Saghafi , Gari D. Clifford

More than 60% of individuals recovering from substance use disorder relapse within one year. Some will resume drug consumption even after decades of abstinence. The cognitive and psychological mechanisms that lead to relapse are not…

Quantitative Methods · Quantitative Biology 2026-05-12 Sayun Mao , Tom Chou , Maria D'Orsogna

Obesity is a major health problem, increasing the risk of various major chronic diseases, such as diabetes, cancer, and stroke. While the role of obesity identified by cross-sectional BMI recordings has been heavily studied, the role of BMI…

Machine Learning · Computer Science 2024-12-03 Md Mozaharul Mottalib , Jessica C Jones-Smith , Bethany Sheridan , Rahmatollah Beheshti

Reward processing and derangements thereof, such as drug addiction, involve the coordinated activity of many brain areas. Prior work has identified many behavioral, molecular biological and single neuron changes throughout the…

Neurons and Cognition · Quantitative Biology 2012-09-18 Michael Chary

This work presents a comprehensive theory of consciousness grounded in mathematical formalism and supported by clinical data analysis. The framework developed herein demonstrates that consciousness exists as a continuous, non-monotonic…

Neurons and Cognition · Quantitative Biology 2025-07-04 Diogo Sousa

Neuroplasticity, the ability of the nervous system to adapt throughout an organism's lifespan, offers potential as both a biomarker and treatment target for neuropsychiatric conditions. Psychedelics, a burgeoning category of drugs, are…

Weighted estimators are commonly used for estimating exposure effects in observational settings to establish causal relations. These estimators have a long history of development when the exposure of interest is binary and where the weights…

Childhood obesity remains a major public health challenge in the United States, strongly influenced by a combination of individual-level, household-level, and environmental-level risk factors. Traditional epidemiological studies typically…

Machine Learning · Computer Science 2025-12-30 Eswarasanthosh Kumar Mamillapalli , Nishtha Sharma

Background: Overweight and obesity are an increasing phenomenon worldwide. Predicting future overweight or obesity early in the childhood reliably could enable a successful intervention by experts. While a lot of research has been done…

Machine Learning · Computer Science 2019-11-20 Ilkka Rautiainen , Sami Äyrämö
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