{"action":"opened","issue":{"url":"https://api.github.com/repos/NeuralEnsemble/PyNN/issues/386","labels_url":"https://api.github.com/repos/NeuralEnsemble/PyNN/issues/386/labels{/name}","comments_url":"https://api.github.com/repos/NeuralEnsemble/PyNN/issues/386/comments","events_url":"https://api.github.com/repos/NeuralEnsemble/PyNN/issues/386/events","html_url":"https://github.com/NeuralEnsemble/PyNN/issues/386","id":118351863,"number":386,"title":"Provide SpikeSourceGamma (gamma process spike source)","user":{"login":"Huitzilo","id":4036001,"avatar_url":"https://avatars.githubusercontent.com/u/4036001?v=3","gravatar_id":"","url":"https://api.github.com/users/Huitzilo","html_url":"https://github.com/Huitzilo","followers_url":"https://api.github.com/users/Huitzilo/followers","following_url":"https://api.github.com/users/Huitzilo/following{/other_user}","gists_url":"https://api.github.com/users/Huitzilo/gists{/gist_id}","starred_url":"https://api.github.com/users/Huitzilo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Huitzilo/subscriptions","organizations_url":"https://api.github.com/users/Huitzilo/orgs","repos_url":"https://api.github.com/users/Huitzilo/repos","events_url":"https://api.github.com/users/Huitzilo/events{/privacy}","received_events_url":"https://api.github.com/users/Huitzilo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-11-23T10:16:03Z","updated_at":"2015-11-23T10:16:03Z","closed_at":null,"body":"Poisson processes are commonly used in neuronal modeling to mimic spike trains from cortical neurons. However, the Poisson process demonstrably overestimates the variability of real neuronal spike trains ([Deger et al., 2012](http://link.springer.com/article/10.1007%2Fs10827-011-0362-8)). \r\n\r\nA gamma process of some integer order higher than 1 has been shown to approximate the statistics of real neuronal spike trains much better than the Poisson process. Therefore, it is suggested to include a SpikeSourceGamma in the standard library. Nest already provides this in the model \"[gamma_sup_generator](https://github.com/nest/nest-simulator/blob/master/models/gamma_sup_generator.h)\". Algorithms are described in Deger et al. (2012), with additional implementation details provided in a [Poster]http://f1000research.com/posters/1092564#) shown at Neuroinformatics 2012.\r\n \r\n\r\n### Reference\r\nMoritz Deger et al, “Statistical properties of superimposed stationary spike trains”, J Comput Neurosci 2012. (http://link.springer.com/article/10.1007%2Fs10827-011-0362-8)\r\n"}}