Automated Author ProfileRochefort, Christelle
Neuroscience Paris-Seine – Institut de biologie Paris-Seine, Sorbonne Universités, INSERM, CNRS, Paris, France0000-0001-8466-5218
Rochefort, Christelle
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Cerebellum contributes to spatial coding in the hippocampus. When PKC-dependent mechanisms are impaired in cerebellar Purkinje cells, hippocampal place cells indeed lose their spatial selectivity in the dark, when the animal relies mostly on self-motion cues to navigate. This impairment in PKC-dependent cerebellar functions additionally leads to behavioral deficits in using both external and self-motion cues when learning a goal-oriented navigation task. However, it is unclear how cerebellum influences the exploration strategy used by an animal during free foraging in an open environment. Here we recorded hippocampal place cells in mice with impaired PKC-dependent mechanisms (L7-PKCI) and in their littermate controls while they performed a foraging task where they were rewarded for visiting a subset of hidden locations. We found that L7-PKCI and control mice developed different foraging strategies: while control mice repeated reliable spatial sequences to maximize their rewards, L7-PKCI mice persisted to use a random foraging strategy. The sequence-based strategy was associated with more place cells exhibiting theta-phase precession and theta modulation. It was also correlated with a larger fraction of place cells that were modulated concomitantly by movement direction and speed. Finally, in the dark, the modulation of place cells by movement direction was markedly reduced in L7-PKCI mice, demonstrating that PKC-dependent cerebellar functions control how self-motion cues influence not only position but also direction coding in the hippocampus. Thus, the cerebellum contributes to the development of optimal sequential paths during foraging, possibly by controlling how self-motion and theta signals contribute to place cells coding. This data set includes behavioral tracking data corresponding to several navigational variables such as position, movement direction, speed and reward delivery. For sessions where behavior was combined with hippocampal recordings, it also includes spike times from hippocampal single units and LFP oscillations.
Authors
- Zhang, Lu ;
- Fournier, Julien ;
- Fallahnezhad, Medhi ;
- Paradis, Anne-Lise ;
- Rochefort, Christelle ;
- Rondi-Reig, Laure