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[Re] On the coexistence of specialists and generalists, Timothée Poisot, ReScience, volume 4, issue 1, article #7, 2018.
A reference implementation of On the coexistence of specialists and generalists, Wilson, D.S. and Yoshimura, J. The American Naturalist 144:4, 692-707, 1994. DOI: 10.1086/285702
Keywords: community ecology, specialist, generalist, coexistence, discrete time model
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1402676
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[Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains, Pamela Hathway and Dan F. M. Goodman, ReScience, volume 4, issue 1, article #6, 2018.
A reference implementation of Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains, Masquelier T, Guyonneau R, Thorpe SJ, PLoS ONE 3(1): e1377, 2008. DOI: 10.1371/journal.pone.0001377
Keywords: STDP, Spatio-temporal spike pattern, Python, Neuroscience
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1327348
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[Re] Adaptive properties of differential learning rates for positive and negative outcomes, Sophie Bavard and Héloïse Théro, ReScience, volume 4, issue 1, article #5, 2018.
A reference implementation of Adaptive properties of differential learning rates for positive and negative outcomes Cazé, R. D., & van der Meer, M. A. (2013). Biological cybernetics, 107(6), 711-719. DOI: 10.1007/s00422-013-0571-5
Keywords: Reinforcement learning, Q-learning, adaptive learning rates
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1289889
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[Re] Predicting metabolic biomarkers of human inborn errors of metabolism, Thierry D.G.A. Mondeel, Vivian Ogundipe, and Hans V. Westerhoff, ReScience, volume 4, issue 1, article #4, 2018.
A reference implementation of Predicting metabolic biomarkers of human inborn errors of metabolism, T. Shlomi, M.N. Cabili, E. Ruppin, Mol. Syst. Biol. 5 (2009) 263. DOI: 10.1038/msb.2009.22
Keywords: Flux variability analysis (FVA), inborn errors of metabolism (IEM), metabolic reconstruction
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1254629
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[Re] Non-additive coupling enables propagation of synchronous spiking activity in purely random networks, Romain Cazé, Marcel Stimberg, and Benoît Girard, ReScience, volume 4, issue 1, article #1, 2018.
A reference implementation of Non-additive coupling enables propagation of synchronous spiking activity in purely random networks, R.M. Memmesheimer, M. Timme, PLoS Computational Biology, 8(4): e1002384, 2012. DOI: 10.1371/journal.pcbi.1002384
Keywords: Dendrites, non-linearities, network, synfire chain
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1246659
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[Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model, Renan O. Shimoura, Nilton L. Kamij1, Rodrigo F.O. Pena, Vinicius L. Cordeiro, Cesar C. Ceballos, Cecilia Romaro, and Antonio C. Roque, ReScience, volume 4, issue 1, article #2, 2018.
A reference implementation of The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model, T.C. Potjans, M. Diesmann, Cerebral Cortex, 24 (3): 785-806, 2014. DOI: 10.1093/cercor/bhs358
Keywords: cerebral cortex, cortical microcircuit, large-scale models, layered network, specificity of connections Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1243268
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[Re] A neural model of the saccade generator in the reticular formation, Mario Senden, Jannis Schuecker, Jan Hahne, Markus Diesmann, Rainer Goebel, ReScience, volume 4, issue 1, article #3, 2018.
A reference implementation of A Neural Model of the Saccade Generator in the Reticular Formation, Gancarz, G., Grossberg, S.., Neural Networks 11, no. 7-8 (October 1998): 1159-74. DOI:10.1016/S0893-6080(98)00096-3
Keywords: Supercomputing Waveform, relaxation, parallelization, rate models, spiking neural network simulator, stochastic (delay) differential equations
Links: PDF | Code repository | Review | DOI 10.5281/zenodo.1241004