Daphna Shohamy A

This study investigates how the brain retrieves taste memories from visual cues, finding that taste memory is represented in lateral parietal cortex rather than gustatory cortex.

The paper develops a factorized model of temporal abstraction to study how abstract knowledge is learned and represented in the brain during a decision task, showing that hippocampus, entorhinal cortex, and orbitofrontal cortex support this process.

The paper shows that the brain uses proactive and reactive memory strategies for decision-making, with proactive being more efficient but reactive used when options have more memory associations.

The paper shows that subjective values change during decision-making tasks and introduces a model to detect these changes in choices and neural signals.

This study investigates reward-based learning deficits in Parkinson's disease, finding impaired incremental learning but intact episodic memory, with medication improving the deficit.

This paper develops and tests neural networks that perform transitive inference, showing they generalize and exhibit behaviors similar to humans, while also revealing inconsistencies between human behavior and certain network solutions.

This study investigates reward learning in individuals with cerebellar ataxia, finding impaired trial-and-error reward learning but preserved episodic memory-based reward prediction.

The paper investigates how uncertainty affects the balance between incremental learning and episodic memory in decision-making, finding that people rely more on episodic memory when incremental learning is uncertain.

This study investigates motor memory in Parkinson's patients and finds it is preserved, not impaired, and not influenced by dopamine state during initial learning.

The paper decodes neural representations of taste and health attributes in the OFC during food choices in AN patients and healthy individuals, finding stronger health-related associations in AN.

The paper shows that memory for trained items enhances preference for high-value stimuli after non-reinforced cue-approach training, even months later.

In five top neuroscience journals, papers with name-inferred first and last authors of color are under-cited, mostly by White-led teams, and the gap is growing.

This study investigates how dopamine affects dynamic striatal-cortical connectivity during learning in Parkinson’s disease patients, finding dopamine-dependent changes in network flexibility and connectivity.

This study investigates the relationship between model-based planning and spatial memory by examining hippocampal function in patients with hippocampal resection, finding impairments linked to lesion size and covariation in controls.

The paper uses fMRI and dynamic network neuroscience to study how striatal-cortical circuits change during reinforcement learning and finds that dynamic network coupling correlates with learning parameters.

The paper shows that reminders of past choices influence reward-based decisions by biasing the use of individual past experiences over averaged rewards.