Results 81 to 90 of about 104,006 (269)
Overlapping Prediction Errors in Dorsal Striatum During Instrumental Learning With Juice and Money Reward in the Human Brain [PDF]
, 2009 Prediction error signals have been reported in human imaging studies in target areas of dopamine neurons such as ventral and dorsal striatum during learning with many different types of reinforcers. However, a key question that has yet to be addressed is
O'Doherty, John P., Valentin, Vivian V.
core +2 more sources
EJNMMI ResearchBackground Dual-phase fluorine-18 labeled N-3-fluoropropyl-2β-carbomethoxy-3β-(4-iodophenyl) nortropane (18F-FP-CIT) positron emission tomography (PET) scans could be used to support disorders like Parkinson’s disease (PD).
Ji-Young Kim +5 more
doaj +1 more source
Dopaminergic Regulation of Striatal Interneurons in Reward and Addiction: Focus on Alcohol
Neural Plasticity, 2015 Corticobasal ganglia networks coursing through the striatum are key structures for reward-guided behaviors. The ventral striatum (nucleus accumbens (nAc)) and its reciprocal connection with the ventral tegmental area (VTA) represent a primary component ...
Rhona Clarke, Louise Adermark
doaj +1 more source
Frontiers in Integrative Neuroscience, 2012 Time-based decision-making in peak-interval timing procedures involves the setting of response thresholds for the initiation (‘Start’) and termination (‘Stop’) of a response sequence that is centered on the target duration.
Christopher eMacDonald +2 more
doaj +1 more source
The Neural Responses to Social Cooperation in Gain and Loss Context. [PDF]
PLoS ONE, 2016 Cooperation is pervasive and constitutes the core behavioral principle of human social life. Previous studies have revealed that mutual cooperation was reliably correlated with two reward-related brain regions, the ventral striatum and the orbitofrontal ...
Peng Sun +5 more
doaj +1 more source
Distinctive Roles for the Ventral Striatum and Ventral Prefrontal Cortex during Decision-Making [PDF]
The Journal of Neuroscience, 2008 A problem well known to most cognitive neuroscientists, particularly those in brain imaging, is one of correlation. In designing a task to distinguish the function of a given brain region, how can we be sure that the activity we observe does not merely correlate with another, superior descriptor ...
openaire +2 more sources
Advanced Science, EarlyView.Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao +4 more
wiley +1 more source
A Local Circuit Model of Learned Striatal and Dopamine Cell Responses under Probabilistic Schedules of Reward [PDF]
, 2007 Before choosing, it helps to know both the expected value signaled by a predictive cue and the associated uncertainty that the reward will be forthcoming. Recently, Fiorillo et al.
Bullock, Daniel, Tan, Can Ozan
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Neural signature of fictive learning signals in a sequential investment task [PDF]
, 2007 Reinforcement learning models now provide principled guides for a wide range of reward learning experiments in animals and humans. One key learning (error) signal in these models is experiential and reports ongoing temporal differences between expected ...
Colin F Camerer +4 more
core +4 more sources
Advanced Science, EarlyView.The Single‐Nanostructured Optoelectronic Vehicle for neuromodulation Activation (SNOVA) establishes a paradigm for non‐genetic, implant‐free neuromodulation. By integrating NIR‐excitable UCNPs with broadband‐absorbing perovskite QDs, SNOVA efficiently converts deeply penetrating light into localized electric fields that modulate neuronal ion dynamics ...
Luyue Jiang +19 more
wiley +1 more source