Contents

Under review

  1. Replication in Computational Neuroscience | PDF | Code | Review | BibTeX
    Larisch, R. 2019. [Re] Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Under Review.

  2. Replication in Machine Learning | PDF | Code | Review | BibTeX
    Tallec, C., Blier, L., and Kalainathan, D. 2019. [Re] Recurrent World Models Facilitate Policy Evolution. Under Review.

  3. Replication in Machine Learning | PDF | Review | BibTeX
    Cressot, L., Coninx, A., Merckling, A., Perrin, N., and Doncieux, S. 2019. [Re] Learning state representations with robotic priors. Under Review.

  4. Replication in Computational Ecology | PDF | Code | Review | BibTeX
    Etherington, T. and Lieske, D. 2018. [Re] Resampling methods for evaluating classification accuracy of wildlife habitat models. Under Review.

Volume 5 (2019)

Issue 2 (ICLR Reproducibility Challenge 2019)

  1. Editorial | 10.5281/zenodo.3158244 | PDF | Review | BibTeX
    Pineau, J., Sinha, K., Fried, G., Ke, R.N., and Larochelle, H. 2019. ICLR Reproducibility Challenge 2019. ReScience C 5, 2, #5.

  2. Replication in Machine Learning (Python) | 10.5281/zenodo.3160540 | PDF | Code | Review | BibTeX
    Devos, A., Chatel, S., and Grossglauser, M. 2019. [Re] Meta-learning with differentiable closed-form solvers. ReScience C 5, 2, #1.

  3. Replication in Machine Learning (Python) | 10.5281/zenodo.3161734 | PDF | Code | Review | BibTeX
    Fuente, A.D. la and Aduviri, R. 2019. [Re] Variational Sparse Coding. ReScience C 5, 2, #2.

  4. Replication in Machine Learning (Python) | 10.5281/zenodo.3162890 | PDF | Code | Review | BibTeX
    Bardi, F., Baussnern, S. von, and Gjiriti, E. 2019. [Re] Learning Neural PDE Solvers with Convergence Guarantees ICLR Reproducibility Challenge 2019. ReScience C 5, 2, #3.

  5. Replication in Machine Learning (python) | 10.5281/zenodo.3162114 | PDF | Code | Review | BibTeX
    Didolkar, A. 2019. [Re] h-detach: Modifying the LSTM gradient towards better optimization. ReScience C 5, 2, #4.

Issue 1

  1. Editorial | 10.5281/zenodo.3069619 | PDF | BibTeX
    Hinsen, K. and Rougier, N.P. 2019. ReScience (R)evolution. ReScience C 5, 1, #3.

  2. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.2611252 | PDF | Code | Review | BibTeX
    Tennøe, S., Hodne, K., Haug, T.M., Weltzien, F.-A., Einevoll, G.T., and Halnes, G. 2019. [Re] Fast-Activating Voltage- and Calcium-Dependent Potassium (BK) Conductance Promotes Bursting in Pituitary Cells: A Dynamic Clamp Study. ReScience 5, 1, #2.

  3. Replication in Computational Ecology (Julia) | 10.5281/zenodo.2598793 | PDF | Code | Review | BibTeX
    Caron, D., Lessard, V., Wu, Q., and Poisot, T. 2019. [Re] Insect natural enemies as regulating factors. ReScience 5, 1, #1.

Volume 4 (2018)

Issue 1

  1. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1327348 | PDF | Code | Review | BibTeX
    Hathway, P. and Goodman, D.F.M. 2018. [Re] Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains. ReScience 4, 1, #6.

  2. Replication in Computational Ecology (Julia) | 10.5281/zenodo.1402676 | PDF | Code | Review | BibTeX
    Poisot, T. 2018. [Re] On the coexistence of specialists and generalists. ReScience 4, 1, #7.

  3. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1289889 | PDF | Code | Review | BibTeX
    Bavard, S. and Théro, H. 2018. [Re] Adaptive properties of differential learning rates for positive and negative outcomes. ReScience 4, 1, #5.

  4. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1246659 | PDF | Code | Review | BibTeX
    Cazé, R., Stimberg, M., and Girard, B. 2018. [Re] Non-additive coupling enables propagation of synchronous spiking activity in purely random networks. ReScience 4, 1, #1.

  5. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1244116 | PDF | Code | Review | BibTeX
    Shimoura, R.O., Kamij, N.L., Pena, R.F.O., et al. 2018. [Re] The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. ReScience 4, 1, #2.

  6. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1241004 | PDF | Code | Review | BibTeX
    Senden, M., Schuecker, J., Hahne, J., Diesmann, M., and Goebel, R. 2018. [Re] A neural model of the saccade generator in the reticular formation. ReScience 4, 1, #3.

  7. Replication in Computational Biology (Python) | 10.5281/zenodo.1254629 | PDF | Code | Review | BibTeX
    Mondeel, T.D.G.A., Ogundipe, V., and Westerhoff, H.V. 2018. [Re] Predicting metabolic biomarkers of human inborn errors of metabolism. ReScience 4, 1, #4.

Volume 3 (2017)

Issue 1

  1. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.1003214 | PDF | Code | Review | BibTeX
    Detorakis, G. 2017. [Re] A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors. ReScience 3, 1, #7.

  2. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.890901 | PDF | Code | Review | BibTeX
    Diem, A.K. 2017. [Re] A bidirectional model for communication in the neurovascular unit. ReScience 3, 1, #9.

  3. Replication in Computational Evolution (R) | 10.5281/zenodo.890884 | PDF | Code | Review | BibTeX
    Stojić, H. 2017. [Re] How learning can guide evolution. ReScience 3, 1, #8.

  4. Replication in Game Theory (Python) | 10.5281/zenodo.847732 | PDF | Code | Review | BibTeX
    Stollmeier, F. 2017. [Re] A simple rule for the evolution of cooperation on graphs and social networks. ReScience 3, 1, #5.

  5. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.854616 | PDF | Code | Review | BibTeX
    Metzner, C. 2017. [Re] Modeling GABA Alterations in Schizophrenia: A Link Between Impaired Inhibition and Gamma and Beta Auditory Entrainment. ReScience 3, 1, #6.

  6. Replication in Computer Graphics (Python) | 10.5281/zenodo.802285 | PDF | Code | Data | Review | BibTeX
    Rougier, N.P. 2017. [Re] Weighted Voronoi Stippling. ReScience 3, 1, #4.

  7. Replication in Compuational Neuroscience (Python) | 10.5281/zenodo.583814 | PDF | Code | Review | BibTeX
    Rostami, V., Ito, J., Denker, M., and Grün, S. 2017. [Re] Spike Synchronization and Rate Modulation Differentially Involved in Motor Cortical Function. ReScience 3, 1, #3.

  8. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.495237 | PDF | Code | Review | BibTeX
    Henriques, R.N., Rokem, A., Garyfallidis, E., St-Jean, S., Peterson, E.T., and Correia, M.M. 2017. [Re] Optimization of a free water elimination two-compartment model for diffusion tensor imaging. ReScience 3, 1, #2.

  9. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.254145 | PDF | Code | Review | BibTeX
    Shifman, A. 2017. [Re] Ionic Current Model of a Hypoglossal Motoneuron. ReScience 3, 1, #1.

Volume 2 (2016)

Issue 1

  1. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.200334 | PDF | Code | Review | BibTeX
    Masson, E.L. and Alexandre, F. 2016. [Re] How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks. ReScience 2, 1, #7.

  2. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.159545 | PDF | Code | Review | BibTeX
    Vitay, J. 2016. [Re] Robust timing and motor patterns by taming chaos in recurrent neural networks. ReScience 2, 1, #5.

  3. Replication in Computational Neurosience (Python) | 10.5281/zenodo.161526 | PDF | Code | Review | BibTeX
    Maksimov, A., Albada, S.J. van, and Diesmann, M. 2016. [Re] Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model. ReScience 2, 1, #6.

  4. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.61697 | PDF | Code | Review | BibTeX
    Detorakis, G. 2016. [Re] Multiple dynamical modes of thalamic relay neurons: rhythmic bursting and intermittent phase-locking. ReScience 2, 1, #4.

  5. Replication in Computational Ecology (R) | 10.5281/zenodo.50213 | PDF | Code | Review | BibTeX
    Petchey, O., Plebani, M., and Pennekamp, F. 2016. [Re] Chaos in a long-term experiment with a plankton community. ReScience 2, 1, #3.

  6. Replication in Computatioal Ecology (R) | 10.5281/zenodo.47146 | PDF | Code | Review | BibTeX
    Stachelek, J. 2016. [Re] Least-cost modelling on irregular landscape graphs. ReScience 2, 1, #2.

  7. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.45852 | PDF | Code | Review | BibTeX
    Viejo, G., Girard, B., and Khamassi, M. 2016. [Re] Speed/accuracy trade-off between the habitual and the goal-directed process. ReScience 2, 1, #1.

Volume 1 (2015)

Issue 1

  1. Replication in Computational Neuroscience (Python) | 10.5281/zenodo.27944 | PDF | Code | Review | BibTeX
    Topalidou, M. and Rougier, N.P. 2015. [Re] Interaction between cognitive and motor cortico-basal ganglia loops during decision making: a computational study. ReScience 1, 1, #1.