Neural and Behavioral Psychology Studies

The paper investigates the neural mechanisms underlying proself behaviors by analyzing fMRI data from an ultimatum game, revealing the role of top-down control of prosocial motives in proself decisions.

The paper uses computational modeling in rats to identify decision-making strategies underlying cognitive effort, revealing distinct subgroups and neurotransmitter effects on attention and choice behavior.

This study investigates how the modality of go signals affects stopping speed in response to stop signals, finding faster stopping in cross-modal conditions and fastest stopping with audiovisual stop signals.

This study investigates the neural correlates of impulsivity using meta-analytic synthesis and functional connectivity modelling, identifying distinct brain networks associated with decision-making and action control.

This study examines how challenge level and reward size affect mental effort, stress, and affect during a cognitive task, finding that higher challenge and rewards increase effort but also stress, while rewards alone boost positive affect.

The paper investigates whether task-related changes in EEG recordings reflect changes in sensory representations or additional cognitive processes, finding that they reflect cognitive processes like target recognition.

This study investigates the role of anterior cingulate cortex (CG) in working memory by optogenetically silencing CG neurons during specific task phases in a delayed non-match to trajectory task.

The paper uses meta-analytic evidence to show brain regions involved in error processing versus successful response in cognitive control tasks.

The paper identifies conserved neural mechanisms in the lateral habenula that integrate information value with extrinsic rewards to guide multi-attribute decisions.

This study investigates shared and distinct brain mechanisms of conflict resolution in cognitive control using fMRI, distinguishing them from time-on-task effects.

This study uses fMRI to compare neural changes during instruction-based and trial-and-error learning, finding that S-R rule representations guide task performance regardless of learning mode.

This study uses RNNs to simulate WM prioritization, showing context and priority are encoded via distinct mechanisms in neural representations.

The paper investigates neural dynamics during competition between voluntary and involuntary attentional control in visual working memory, showing delayed prioritization and increased frontal midline theta activity.

This paper uses electromyography to study motor inhibition during failed stopping in a stop signal task, finding that EMG differentiates failed from successful stops and shows persistent inhibition after failed attempts.

This study uses fMRI and multivariate decoding to show that neural preparation for stimulus relevance and probability involves distinct brain regions with some overlap in the fusiform gyrus.

The paper validates a foraging task as a reliable measure of decision-making with clinical correlates in psychiatry.

This study shows that human insula and dorsomedial prefrontal cortex encode reward prediction errors asymmetrically, with distinct neural populations for positive, negative, and unsigned RPEs.

This study uses transcranial focused ultrasound on rIFG during a Stop-Signal task to show that it improves response inhibition by reducing P300 onset latency, not amplitude.

This study uses optogenetic disruptions in rats to show the medial prefrontal cortex's role in different working memory processes during flexible decision-making.

The paper investigates how the medial prefrontal cortex (mPFC) and dorsomedial striatum (DMS) interact during flexible decision-making in mice, finding that mPFC leads in tracking reward probability differences and enhances connectivity with DMS under low reward conditions.

This study investigates how working memory load affects instrumental learning under Pavlovian influence, finding that it slows learning and increases randomness without altering Pavlovian bias.

This study identifies brain regions involved in devaluation-sensitive and devaluation-insensitive Pavlovian learning by analyzing reward and state prediction errors using fMRI and computational modeling.

This study investigates how catecholaminergic neuromodulation and spatial attention jointly influence perceptual decision-making through behavioral, algorithmic, and neural measures.

The paper investigates how subjective value representations in the human orbitofrontal cortex (OFC) are influenced by past and present context during economic decision-making using sEEG data.

The paper uses fMRI to show that posterior parietal and extrastriate cortices represent expected posterior certainty during active information seeking, supporting the computation of expected information gain.

This study shows rats use distinct value computations for sequential decisions within trials, revealing how different value estimates interact dynamically during rapid decision-making.

This paper introduces DeCoP, a novel decoding method that separates reward processing into evaluation and salience components, showing improved performance over traditional methods.

This study investigates the distinct roles of vlOFC and BLA in stimulus- and action-based reversal learning under uncertainty using chemogenetic inhibition in rats.

This study uses fMRI and dynamic causal modeling to show that ventromedial prefrontal cortex (vmPFC) modulates connections from dorsolateral PFC to orbitofrontal cortex based on prior belief during decision strategy re-evaluation.

The paper identifies distinct neural interaction subsystems in the human frontal cortex for reward and punishment learning using intracranial recordings.