Charan Ranganath A

This study shows that memories of complex narrative events are spontaneously reactivated during rest, but reactivation is linked to gist-like recall rather than strengthening episodic memory details.

This study uses immersive VR to show that naturalistic visual search involves hierarchical planning with shifting attentional priorities across subgoals.

This study uses fMRI to show that causality, not time or space, organizes episodic memory by revealing how the default mode network reflects causal relationships during event recall.

This study investigates how OFC gamma oscillations and hippocampal ripples interact during rapid spatial learning in humans using iEEG recordings.

The paper shows grid cells decorrelate position representations and act as a pattern separation device, similar to a hash function, enhancing episodic memory.

The paper uses natural language processing to link shared neural patterns in the DMN to memory content similarity during encoding.

This study builds a neural network model of the EC-HPC system showing that EC2a supports pattern separation through recurrent inhibition and conjunctive coding, while EC2b/3 supports generalization.

This paper introduces a method to quantify memory retrieval through anticipatory eye gaze without verbal reports, showing its effectiveness across multiple experiments.

This paper shows that drift in temporal context representations in a hippocampal model enhances recall and explains spacing effects through decontextualization and error-driven learning.

This study shows that curiosity increases ERP components associated with reward processing and correlates with better memory recall of trivia answers.

This study shows that hippocampal-neocortical connectivity at event offsets predicts memory retention of complex narrative events better than mid-event connectivity.

The paper investigates how spatial boundaries influence hippocampal activity during memory recollection, finding that CA1 encodes spatial context information for objects near boundaries.

The paper investigates how the human brain integrates event experiences to build general knowledge, showing that the anterior-lateral entorhinal cortex forms integrative representations earlier than the middle temporal gyrus.

The paper shows that different brain networks represent specific event components during viewing and memory retrieval, with generalization across contexts and people.

This study investigates the role of the fornix in sequence memory by correlating its microstructure with memory performance in healthy adults.

The paper introduces a computational model called Theremin that uses error-driven learning in the hippocampus to improve episodic memory function and learning speed compared to Hebbian learning models.

This study investigates how different hippocampal subfields represent item-context binding during memory retrieval using fMRI and voxel pattern similarity analyses.

The paper investigates individual differences in dual process memory by linking electrophysiological signatures of familiarity and recollection to their behavioral estimates during a recognition memory task.

The paper shows that hippocampal representations modulate visual cortex activity to anticipate expected sensory items during navigation.

This study shows that the hippocampus integrates distant events into a narrative structure during memory formation and recall.

This study examines how the human hippocampus encodes contextual and goal information during goal-directed navigation, showing context-specific future goal representations and anticipatory activity patterns.

This study investigates how neural networks like the dopaminergic-hippocampal, FPN, and DMN support curiosity and enhance memory, finding distinct patterns during curiosity elicitation and relief.

The paper identifies cortico-hippocampal networks in the human brain using resting-state fMRI data, revealing the DMN and MTN and their roles in memory.

The paper investigates how the brain represents and combines abstract social hierarchies using neural activity patterns in specific brain regions.

The paper introduces a neuro-symbolic model called SEM that organizes continuous experiences into discrete events and generalizes memory, showing human-like event segmentation in video data.

The paper investigates how emotional item and context memory are encoded in the medial temporal lobes, finding dissociable roles for the amygdala-PRC and hippocampal pathways.

The paper investigates how conceptual representations are formed during learning using a combination of behavioral experiments and computational modeling.

This study investigates how neural oscillations change during conditional associative learning using EEG and finds that frontal theta and posterior alpha/beta oscillations are linked to memory formation.

This study shows that theta phase synchronization between the human hippocampus and prefrontal cortex increases during the encoding of unexpected visual stimuli compared to expected ones.

The paper uses fMRI to show that CA1 and CA3 subfields of the human hippocampus differentially support episodic context retrieval during memory recollection.