Automated Author ProfileRandi, Francesco
0000-0002-6200-7254
Randi, Francesco
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: 1.3 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset used in the paper "Randi, F., Sharma, A.K., Dvali, S. et al. Neural signal propagation atlas of Caenorhabditis elegans. Nature 623, 406–414 (2023)."Establishing how neural function emerges from network properties is a fundamental problem in neuroscience. Here, to better understand the relationship between the structure and the function of a nervous system, we systematically measure signal propagation in 23,433 pairs of neurons across the head of the nematode Caenorhabditis elegans by direct optogenetic activation and simultaneous whole-brain calcium imaging. We measure the sign (excitatory or inhibitory), strength, temporal properties and causal direction of signal propagation between these neurons to create a functional atlas. We find that signal propagation differs from model predictions that are based on anatomy. Using mutants, we show that extrasynaptic signalling not visible from anatomy contributes to this difference. We identify many instances of dense-core-vesicle-dependent signalling, including on timescales of less than a second, that evoke acute calcium transients—often where no direct wired connection exists but where relevant neuropeptides and receptors are expressed. We propose that, in such cases, extrasynaptically released neuropeptides serve a similar function to that of classical neurotransmitters. Finally, our measured signal propagation atlas better predicts the neural dynamics of spontaneous activity than do models based on anatomy. We conclude that both synaptic and extrasynaptic signalling drive neural dynamics on short timescales, and that measurements of evoked signal propagation are crucial for interpreting neural function.Read the paper at: https://www.nature.com/articles/s41586-023-06683-4
Authors
- Randi, Francesco ;
- Sharma, Anuj ;
- Dvali, Sophie ;
- Leifer, Andrew M.
The dataset used in the paper "Randi, F., Sharma, A.K., Dvali, S. et al. Neural signal propagation atlas of Caenorhabditis elegans. Nature 623, 406–414 (2023)."Establishing how neural function emerges from network properties is a fundamental problem in neuroscience. Here, to better understand the relationship between the structure and the function of a nervous system, we systematically measure signal propagation in 23,433 pairs of neurons across the head of the nematode Caenorhabditis elegans by direct optogenetic activation and simultaneous whole-brain calcium imaging. We measure the sign (excitatory or inhibitory), strength, temporal properties and causal direction of signal propagation between these neurons to create a functional atlas. We find that signal propagation differs from model predictions that are based on anatomy. Using mutants, we show that extrasynaptic signalling not visible from anatomy contributes to this difference. We identify many instances of dense-core-vesicle-dependent signalling, including on timescales of less than a second, that evoke acute calcium transients—often where no direct wired connection exists but where relevant neuropeptides and receptors are expressed. We propose that, in such cases, extrasynaptically released neuropeptides serve a similar function to that of classical neurotransmitters. Finally, our measured signal propagation atlas better predicts the neural dynamics of spontaneous activity than do models based on anatomy. We conclude that both synaptic and extrasynaptic signalling drive neural dynamics on short timescales, and that measurements of evoked signal propagation are crucial for interpreting neural function.Read the paper at: https://www.nature.com/articles/s41586-023-06683-4
Authors
- Randi, Francesco ;
- Sharma, Anuj ;
- Dvali, Sophie ;
- Leifer, Andrew M.
The dataset corresponding to Sharma et al., 2023, TWISP: A Transgenic Worm for Interrogating Signal Propagation in C. elegans.Datasets are listed in folders with corresponding figure and supplementary table.
Authors
- Sharma, Anuj ;
- Randi, Francesco ;
- Kumar, Sandeep ;
- Dvali, Sophie ;
- Leifer, Andrew
The dataset corresponding to Sharma et al., 2023, TWISP: A Transgenic Worm for Interrogating Signal Propagation in C. elegans.Datasets are listed in folders with corresponding figure and supplementary table.
Authors
- Sharma, Anuj ;
- Randi, Francesco ;
- Kumar, Sandeep ;
- Dvali, Sophie ;
- Leifer, Andrew