tag:joss.theoj.org,2005:/papers/tagged/associative%20learningJournal of Open Source Software2021-09-12T20:20:29ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/29042021-09-12T20:20:29Z2021-09-12T20:20:29Zsorn: A Python package for Self Organizing Recurrent Neural Networkaccepted0.4.92021-07-24 23:26:00 UTC652021-09-12 20:20:29 UTC620213545SaranrajNambusubramaniyanIndian center for Robotics Innovation and Smart-intelligence(IRIS-i), India, Institute of Cognitive Science, Universität Osnabrück, Germany0000-0002-7314-026110.21105/joss.03545https://doi.org/10.5281/zenodo.5496017Pythonhttps://joss.theoj.org/papers/10.21105/joss.03545.pdfSpiking Neural Network, OpenAI Gym, Neuromorphic computing, Neuroscience, Self Organizing Networks, Hebbian Learning, Associative Networkstag:joss.theoj.org,2005:Paper/22152021-02-24T15:51:00Z2021-02-25T00:01:41ZLearning Simulator: A simulation software for animal and human learningaccepted1.0.02020-12-04 13:12:48 UTC582021-02-24 15:51:00 UTC620212891MarkusJonssonCentre for Cultural Evolution, Stockholm University, Stockholm, Sweden0000-0003-1242-3599StefanoGhirlandaCentre for Cultural Evolution, Stockholm University, Stockholm, Sweden, Department of Psychology, Brooklyn College and Graduate Center, CUNY, New York, NY, USA0000-0002-7270-9612JohanLindCentre for Cultural Evolution, Stockholm University, Stockholm, Sweden0000-0002-4159-6926VeraVinkenBiosciences Institute, Newcastle University, Newcastle upon Tyne, United KingdomMagnusEnquistCentre for Cultural Evolution, Stockholm University, Stockholm, Sweden, Department of Zoology, Stockholm University, Sweden10.21105/joss.02891https://doi.org/10.5281/zenodo.4544535Emacs Lisp, Pythonhttps://joss.theoj.org/papers/10.21105/joss.02891.pdfassociative learning, reinforcement learning, behavior, mathematical model, simulation, guitag:joss.theoj.org,2005:Paper/4392018-04-22T13:05:17Z2021-02-15T11:33:32ZMLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stackacceptedv0.11.02018-03-15 16:08:53 UTC242018-04-22 13:05:17 UTC32018638SebastianRaschkaMichigan State University0000-0001-6989-449310.21105/joss.00638https://doi.org/10.5281/zenodo.1226560Pythonhttps://joss.theoj.org/papers/10.21105/joss.00638.pdfmachine learning, data science, association rule mining, ensemble learning, feature selection