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Baker, B., Lansdell, B., & Kording, K. (2021). A Philosophical Understanding of Representation for Neuroscience. ArXiv:2102.06592 [q-Bio]. http://arxiv.org/abs/2102.06592
Davis, G. P., Katz, G. E., Gentili, R. J., & Reggia, J. A. (2021). Compositional memory in attractor neural networks with one-step learning. Neural Networks, 138, 78–97. https://doi.org/10.1016/j.neunet.2021.01.031
Garcez, A. d’Avila, & Lamb, L. C. (2020). Neurosymbolic AI: The 3rd Wave. ArXiv:2012.05876 [Cs]. http://arxiv.org/abs/2012.05876
Hinton, G. (2021). How to represent part-whole hierarchies in a neural network. ArXiv:2102.12627 [Cs]. http://arxiv.org/abs/2102.12627
Hipólito, I., Ramstead, M. J. D., Convertino, L., Bhat, A., Friston, K., & Parr, T. (2021). Markov blankets in the brain. Neuroscience & Biobehavioral Reviews, 125, 88–97. https://doi.org/10.1016/j.neubiorev.2021.02.003
Marcus, G. (2020). The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence. ArXiv:2002.06177 [Cs]. http://arxiv.org/abs/2002.06177
Pezzulo, G., Barsalou, L. W., Cangelosi, A., Fischer, M. H., Spivey, M., & McRae, K. (2011). The Mechanics of Embodiment: A Dialog on Embodiment and Computational Modeling. Frontiers in Psychology, 2. https://doi.org/10.3389/fpsyg.2011.00005
Santoro, A., Lampinen, A., Mathewson, K., Lillicrap, T., & Raposo, D. (2021). Symbolic Behaviour in Artificial Intelligence. ArXiv:2102.03406 [Cs]. http://arxiv.org/abs/2102.03406
Yannic Kilcher. (2021, February 27). GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained). https://www.youtube.com/watch?v=cllFzkvrYmE
The text was updated successfully, but these errors were encountered:
Baker, B., Lansdell, B., & Kording, K. (2021). A Philosophical Understanding of Representation for Neuroscience. ArXiv:2102.06592 [q-Bio]. http://arxiv.org/abs/2102.06592
Davis, G. P., Katz, G. E., Gentili, R. J., & Reggia, J. A. (2021). Compositional memory in attractor neural networks with one-step learning. Neural Networks, 138, 78–97. https://doi.org/10.1016/j.neunet.2021.01.031
Garcez, A. d’Avila, & Lamb, L. C. (2020). Neurosymbolic AI: The 3rd Wave. ArXiv:2012.05876 [Cs]. http://arxiv.org/abs/2012.05876
Hinton, G. (2021). How to represent part-whole hierarchies in a neural network. ArXiv:2102.12627 [Cs]. http://arxiv.org/abs/2102.12627
Hipólito, I., Ramstead, M. J. D., Convertino, L., Bhat, A., Friston, K., & Parr, T. (2021). Markov blankets in the brain. Neuroscience & Biobehavioral Reviews, 125, 88–97. https://doi.org/10.1016/j.neubiorev.2021.02.003
Marcus, G. (2020). The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence. ArXiv:2002.06177 [Cs]. http://arxiv.org/abs/2002.06177
Pezzulo, G., Barsalou, L. W., Cangelosi, A., Fischer, M. H., Spivey, M., & McRae, K. (2011). The Mechanics of Embodiment: A Dialog on Embodiment and Computational Modeling. Frontiers in Psychology, 2. https://doi.org/10.3389/fpsyg.2011.00005
Santoro, A., Lampinen, A., Mathewson, K., Lillicrap, T., & Raposo, D. (2021). Symbolic Behaviour in Artificial Intelligence. ArXiv:2102.03406 [Cs]. http://arxiv.org/abs/2102.03406
Yannic Kilcher. (2021, February 27). GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained). https://www.youtube.com/watch?v=cllFzkvrYmE
The text was updated successfully, but these errors were encountered: