Memory and Neural Mechanisms

This study identifies bidirectional fear modulation by distinct anterior insular circuits in male mice through optogenetic manipulation and neural tracing.

This study identifies state- and circuit-dependent opponent processing of fear in rats, showing that BLA pathways to CeA and Acb have opposing roles in fear learning.

This study investigates how epilepsy-related mesiotemporal pathology reorganizes episodic and semantic memory systems using functional MRI in TLE patients and healthy controls.

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.

The paper shows that consistent trajectory structures improve working memory performance and neural reactivation when recalling multiple sequences.

This study shows that firing rate adaptation in a continuous attractor neural network explains theta phase precession and procession in hippocampal place cells.

The paper models place and grid cells in 3D navigation using a deep autoencoder, showing species-specific spatial cell responses and the role of head direction tuning.

This paper extends the Poisson Gaussian-process latent variable model to infer latent variables of new neural data, enabling the analysis of internal state repetition and replay events in neural activity.

The paper demonstrates that amygdala intercalated clusters encode positive and negative valence oppositely, supporting the opponent-process theory of motivation.

This study compares hippocampal structure and function across humans and macaques to show conservation of micro- and macro-structure but evolutionary reconfiguration in functional connectivity.

This study investigates the differential roles of dorsal and intermediate hippocampus regions in value-dependent navigation using a VR task with reward zones of varying values.

The paper identifies sublayer-specific circuit organization in hippocampal CA1 of freely-moving macaques through analysis of neuron classes and their functional interactions.

This study develops new social spontaneous recognition tasks to assess episodic-like memory in mice, showing they use conspecifics as contextual cues to distinguish unique episodes.

The paper introduces SMARTTR, an R package for brain-wide mapping and network analysis of multiple ensembles, and demonstrates its application to learned helplessness studies.

This study uses simulations to investigate how population-level hexadirectional modulation in fMRI data may arise from grid cell activity, testing three hypotheses about grid cell properties.

This study shows that removing perineuronal nets in the rat medial prefrontal cortex reduces cocaine self-administration memory acquisition and disrupts reconsolidation when combined with novel reactivation.

The paper develops a mathematical framework to explain how learning models, including neural networks, can perform transitive inference through statistical principles and representation learning.

This study shows that neurofeedback training increases task-relevant memory replay in rats by altering SWR temporal dynamics.

The paper identifies neural signatures of a predictive map in perirhinal cortex during task learning in mice using tactile working memory tasks.

This study investigates the effect of D2R agonists on fear generalization in male rats and finds no evidence of such an effect.

The paper compares single-neuron projection patterns from the basolateral amygdala to the frontal cortex in mice and macaques, finding differences in connectivity organization.

This study replicates findings of hippocampus-parietal cortex causal directed connectivity during memory encoding and recall across three experiments.

The paper demonstrates that optic flow can recalibrate path integration in hippocampal place cells using a closed-loop virtual reality system.

This study identifies two types of neurons in the perirhinal cortex that process object recognition in a modality-specific and modality-invariant manner using single-unit recordings in rats.

The paper shows that grid cell population activity forms a 2-D toroidal state space during 1-D behavior, using UMAP and persistent homology to analyze topology.

The paper confirms that Bnip3 expression correlates with reelin levels in entorhinal cortex layer II neurons, indicating higher metabolic demand near the rhinal fissure.

The paper develops a predictive autoencoder model of the hippocampus to simulate sequence learning, showing CA3's predictive role and CA1's error signaling in mice.

This study investigates the role of retrosplenial cortex (RSC) neurons in spatial working memory by analyzing firing patterns during a delay period in rats.

This study investigates the role of the gut-brain vagal axis in hippocampal memory processes and finds it essential for long-term recognition memories and synaptic plasticity.

The paper shows that social navigation in abstract social space uses distance and grid-like neural codes similar to spatial navigation, with performance linked to social traits.