Exploring weight initialization, diversity of solutions, and degradation in recurrent neural networks trained for temporal and decision-making tasks
-
Published:2023-08-10
Issue:4
Volume:51
Page:407-431
-
ISSN:0929-5313
-
Container-title:Journal of Computational Neuroscience
-
language:en
-
Short-container-title:J Comput Neurosci
Author:
Jarne Cecilia,Laje Rodrigo
Funder
Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems
Reference85 articles.
1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., Ghemawat, S., Goodfellow, I., Harp, A., Irving, G., Isard, M., Jia, Y., Jozefowicz, R., Kaiser, L., Kudlur, M., Levenberg, J., Mané, D., Monga, R., Moore, S., Murray, D., Olah, C., Schuster, M., Shlens, J., Steiner, B., Sutskever, I., Talwar, K., Tucker, P., Vanhoucke, V., Vasudevan, V., Viégas, F., Vinyals, O., Warden, P., Wattenberg, M., Wicke, M., Yu, Y., & Zheng, X. (2015). TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. Software available from tensorflow.org. https://www.tensorflow.org/ 2. Balaguer-Ballester, E., Lapish, C. C., Seamans, J. K., & Durstewitz, D. (2011). Attracting dynamics of frontal cortex ensembles during memory-guided decision-making. PLOS Computational Biology, 7(5), 1–19. https://doi.org/10.1371/journal.pcbi.1002057 3. Barak, O. (2017). Recurrent neural networks as versatile tools of neuroscience research. Current Opinion in Neurobiology, 46, 1–6. https://doi.org/10.1016/j.conb.2017.06.003. Computational Neuroscience. 4. Bi, Z., & Zhou, C. (2020). Understanding the computation of time using neural network models. Proceedings of the National Academy of Sciences 117(19), 10530–10540. https://arxiv.org/abs/https://www.pnas.org/content/117/19/10530.full.pdf. https://doi.org/10.1073/pnas.1921609117 5. Britten, K., Shadlen, M., Newsome, W., & Movshon, J. (1992). The analysis of visual motion: a comparison of neuronal and psychophysical performance. Journal of Neuroscience, 12(12), 4745–4765. https://arxiv.org/abs/https://www.jneurosci.org/content/12/12/4745.full.pdf. https://doi.org/10.1523/JNEUROSCI.12-12-04745.1992
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|