Sanjay Manohar

This study shows motivational incentives improve working memory performance by enhancing memory-based representations, not by altering response strategies or speed-accuracy trade-offs.

This paper develops an active inference model of stuttering that explains private speech fluency and information-value effects in social contexts.

This study investigates how spatial and colour information is updated across saccades in healthy ageing and neurodegenerative diseases, finding that spatial memory is selectively impaired.

The paper demonstrates that plastic attractors can model flexible rule-based selective attention by forming task-specific synaptic connections and reproducing behavioral and neural findings.

Pleiades, a whole-genome epigenetic model, detects Alzheimer's and Parkinson's disease from plasma cell-free DNA with high accuracy.

This study identifies four computational mechanisms underlying effort-based decision-making in depression and finds that remitted and current depressed individuals show reduced effort acceptance bias.

This study shows that muscarinic receptors enhance motivation-related preparatory neural activity in humans, as evidenced by changes in reaction times and vigour during an incentivized task.

This study investigates how working memory (WM) representation formats influence reinforcement learning (RL) by manipulating whether features or objects are remembered and measuring their impact on learning outcomes.

This study introduces a behavioral task to measure pattern separation and completion, showing deficits in pattern completion in focal epilepsy and degraded pattern separation in aging.

This study investigates how the ventromedial prefrontal cortex (vmPFC) supports persistence during goal pursuit by modulating attention, showing that vmPFC activity predicts individual differences in goal-oriented attention and persistence.

The paper proposes a model linking dopamine signaling to uncertainty-driven exploration in reinforcement learning, showing improved performance in simulations and behavioral data.

The paper introduces a model that uses rapid synaptic rules to implement a simple grammar, demonstrating syntactic structure and priming effects without hierarchical syntax.

The paper investigates how reward, effort, and choice are encoded hierarchically across the cortex and basal ganglia during cost-benefit decisions in rats.

This study shows that hunger affects risk preferences more when risks are learned through experience than when they are explicitly described.

This paper introduces a new model of learning in the basal ganglia that scales prediction errors by reward uncertainty, showing improved performance in noisy environments and alignment with physiological features.

This study shows that individuals with subjective cognitive impairment (SCI) are hypersensitive to uncertainty, which correlates with affective symptoms like depression and anxiety, and is linked to insular-hippocampal connectivity.

This study investigates the role of D1 receptors in the nucleus accumbens core in regulating reward-seeking behavior during Go/No-Go tasks in rats.

This study investigates whether attention selects individual features or whole objects in working memory using EEG, eye-tracking, and behavioral measures, finding that attention spreads between an object's features.

This study shows that hunger enhances reinforcement-driven decision-making but not planned actions, suggesting a bias toward primitive learning when hungry.

This study investigates how dopamine affects two types of motivation in Parkinson's disease patients, finding that dopamine enhances contingent reward motivation but reduces reward-driven vigour.

The paper tests whether reward prediction errors (RPEs) influence risk-seeking behavior and finds that positive RPEs increase risk-seeking while negative RPEs increase risk-aversion.

This study shows reward improves motor performance by enhancing feedback control and reducing motor noise through increased arm stiffness.

This paper proposes a unified neural model of working memory that integrates self-sustained neural firing and activity-silent synaptic traces to explain attention and memory effects.

The paper derives age-related normative percentiles for hippocampal and grey matter volume using UK Biobank data to aid in clinical and research assessments of brain health.

The paper shows that information from multiple objects can be encoded into visual short-term memory in parallel, challenging the traditional serial encoding assumption.