Symbolic neural networks for cognitive capacities

Author:

Achler Tsvi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology

Reference30 articles.

1. Evaluating the contribution of top-down feedback and post-learning reconstruction;Achler,2011

2. Achler, T., Vural, D., & Amir, E. (2009). Counting objects with biologically inspired regulatory-feedback networks. In Proceedings of the 2009 IEEE International Joint Conference on Neural Networks (IJCNN’09).

3. Non-oscillatory dynamics to disambiguate pattern mixtures;Achler,2011

4. A massively parallel architecture for a self-organizing neural pattern-recognition machine;Carpenter;Computer Vision Graphics and Image Processing,1987

5. de Penning, L., d’Avila Garcez, A. S., Lamb, L. C., & Meyer, J. J. (2014). Neural-symbolic cognitive agents: theory, architecture and application. In Proceedings of autonomous agents and multiagent systems, AAMAS’14.

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