Eric L. Denovellis

The paper develops a task for rats to study self-correction and finds distinct hippocampal representations during this process.

This study shows that meta-learning in rats involves changes in prefrontal cortical dynamics that enable rule-based reward learning.

RealtimeDecoder is a Python-based system for real-time clusterless decoding of neural data with low latency and no spike sorting, demonstrated in rodent hippocampus recordings.

This study shows rats can learn to generate specific remote hippocampal representations through neurofeedback without external cues or behavioral reports.

The paper shows that rat hippocampus generates flexible representations of alternative spatial locations during navigation, modulated by changing cognitive demands.

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

Spyglass provides a reproducible and shareable framework for neuroscience research, enabling data reuse and analysis across labs using standardized formats and pipelines.

The paper shows that while dmPFC and OFC encode similar task elements, their neural coding reliability differs, supporting distinct cognitive functions.

The paper investigates the synchronization between hippocampal spatial representations and limb movement rhythms in rats, finding coordinated timing between plant times and hippocampal spatial encoding.

This study develops a state space model to analyze hippocampal replay events in rats, finding that most replay events contain spatially coherent content and often occur at real-world speeds.

This study investigates hippocampal replay during memory-guided behavior and finds that replay content reflects past experiences rather than future choices.