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Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling.
Because learned associations are quickly renewed following extinction, the extinction process must include processes other than unlearning. However, reinforcement learning models, such as theExpand
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A unified framework for addiction: Vulnerabilities in the decision process
Abstract The understanding of decision-making systems has come together in recent years to form a unified theory of decision-making in the mammalian brain as arising from multiple, interactingExpand
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Addiction as vulnerabilities in the decision process
Abstract In our target article, we proposed that addiction could be envisioned as misperformance of a decision-making machinery described by two systems (deliberative and habit systems). SeveralExpand
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Information, energy, and entropy: Design principles for adaptive, therapeutic modulation of neural circuits
TLDR
This paper discusses the challenges and opportunities designing technology for deep brain stimulation (DBS). Expand
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Smaller classes promote equitable student participation in STEM
CISSY J. BALLEN, STEPFANIE M. AGUILLON, AZZA AWWAD, ANNE E. BJUNE, DANIEL CHALLOU, ABBY GRACE DRAKE, MICHELLE DRIESSEN, AZIZA ELLOZY, VIVIAN E. FERRY, EMMA E. GOLDBERG, WILLIAM HARCOMBE, STEVEExpand
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CONTROLS MIDDLEWARE - THE NEW GENERATION
TLDR
A new Controls Middleware (CMW) for the "LHC era" has been recently designed and implemented to serve the accelerator sector. Expand
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Shoulder pain referral zones
From the AFMM president