tag:joss.theoj.org,2005:/papers/tagged/recurrent%20neural%20networksJournal 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/6312018-11-01T13:04:23Z2021-02-15T11:32:58ZFixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networksacceptedv1.02018-09-17 21:06:48 UTC312018-11-01 13:04:23 UTC320181003MatthewD.GolubDepartment of Electrical Engineering, Stanford University, Stanford Neurosciences Institute, Stanford University0000-0003-4508-0537DavidSussilloDepartment of Electrical Engineering, Stanford University, Stanford Neurosciences Institute, Stanford University, Google Brain, Work done while at Stanford University0000-0003-1620-126410.21105/joss.01003https://doi.org/10.5281/zenodo.1476209Pythonhttps://joss.theoj.org/papers/10.21105/joss.01003.pdfrecurrent neural networks, fixed point optimization, nonlinear dynamical systems, Tensorflowtag:joss.theoj.org,2005:Paper/2052017-06-22T00:00:00Z2021-02-15T11:34:06ZkerasR: R Interface to the Keras Deep Learning Libraryaccepted0.6.12017-06-02 15:21:59 UTC142017-06-22 00:00:00 UTC22017296TaylorB.ArnoldUniversity of Richmond, Department of Mathematics and Computer Science0000-0003-0576-066910.21105/joss.00296https://doi.org/10.5281/zenodo.814996R, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.00296.pdfneural networks, convolutional neural networks, recurrent neural networks, computer vision, natural language processingtag:joss.theoj.org,2005:Paper/492016-09-23T00:00:00Z2021-02-15T11:34:27ZhebbRNN: A Reward-Modulated Hebbian Learning Rule for Recurrent Neural Networksacceptedv1.22016-09-11 15:19:30 UTC52016-09-23 00:00:00 UTC1201660JonathanA.MichaelsGerman Primate Center, Göttingen, Germany0000-0002-5179-3181HansjörgScherbergerGerman Primate Center, Göttingen, Germany, Biology Department, University of Göttingen, Germany0000-0001-6593-280010.21105/joss.00060https://doi.org/10.5281/zenodo.154745Matlabhttps://joss.theoj.org/papers/10.21105/joss.00060.pdflearning, plasticity, neural network, Hebbian, RNN