ArticleFrontiers in neuroinformatics2017
PRANAS: A New Platform for Retinal Analysis and Simulation.
Article in Frontiers in neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Retinal Processing: Insights from Mathematical Modelling.Journal of imaging · 2022Article
- A dynamical model for generating synthetic data to quantify active tactile sensing behavior in the rat.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Linear Response of General Observables in Spiking Neuronal Network Models.Entropy (Basel, Switzerland) · 2021Article
- Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics.Entropy (Basel, Switzerland) · 2020Review
- Metaheuristic Optimisation Algorithms for Tuning a Bioinspired Retinal Model.Sensors (Basel, Switzerland) · 2019Article
- Geppetto: a reusable modular open platform for exploring neuroscience data and models.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data.Frontiers in neuroinformatics · 2018Article
- Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing.Frontiers in neuroinformatics · 2018Article
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Authors and funding
7 authors.
Funding
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Abstract
The retina encodes visual scenes by trains of action potentials that are sent to the brain via the optic nerve. In this paper, we describe a new free access user-end software allowing to better understand this coding. It is called PRANAS (https://pranas.inria.fr), standing for Platform for Retinal ANalysis And Simulation. PRANAS targets neuroscientists and modelers by providing a unique set of retina-related tools. PRANAS integrates a retina simulator allowing large scale simulations while keeping a strong biological plausibility and a toolbox for the analysis of spike train population statistics. The statistical method (entropy maximization under constraints) takes into account both spatial and temporal correlations as constraints, allowing to analyze the effects of memory on statistics. PRANAS also integrates a tool computing and representing in 3D (time-space) receptive fields. All these tools are accessible through a friendly graphical user interface. The most CPU-costly of them have been implemented to run in parallel.
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Registered trials
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