User: Rafael C. Pinto

Name: Rafael C. Pinto

Joined: Thursday 16 July 2009 20:48:18 (UTC)

Last seen: Tuesday 18 August 2009 17:31:31 (UTC)

Email (public): Not specified

Website: http://www.inf.ufrgs.br/~rcpinto

Location: Porto Alegre, Brazil

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Bsc. degree in Computer Science from UFRGS (Universidade Federal do Rio Grande do Sul) with the work "A Neocortex Inspired Hierarchical Spatio-Temporal Pattern Recognition System".

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Artificial Intelligence (Reinforcement Learning, Neural Networks, Genetic Algorithms, AI in Games, AGI), Game Development, Robotics.

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Um Reconhecedor de PadrÃµes EspaÃ§o-Temporais Inspir...

Created: 2009-07-16 21:31:35

Credits: Rafael C. Pinto

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Presentation of the "A Neocortex Inspired Hierarchical Spatio-Temporal Pattern Recognition System" work, in Portuguese.

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Rafael C. Pinto

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A Neocortex Inspired Hierarchical Spatio-Temporal Pa...

Created: 2009-07-16 21:26:17 | Last updated: 2009-07-18 17:33:41

Credits: Rafael C. Pinto

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Undergraduate Thesis presented in partial fulfillment of the requirements for the degree of Bachelor of Computer Science. Abstract. Recently, inspired by our neocortex, an architecture for spatio-temporal pattern recognition has been proposed, the MPF (Memory-Prediction Framework). There already exists some attempts to implement it, like the HTM (Hierarchical Temporal Memory) and the HQSOM (Hierarchical Quilted Self-Organizing Map). The HQSOM lacks some parts of the MPF, which in turn ma...

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LoopSOM: A Robust SOM Variant Using Self-Organizing ...

Created: 2009-07-16 21:20:54

Credits: Rafael C. Pinto

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Paper accepted in the VIII ENIA - Encontro Nacional de Inteligência Artificial. To appear in proceedings of the XXIX CSBC - Congresso da Sociedade Brasileira de Computação. Abstract. This paper introduces feedback connections into a previously proposed model of the simple and complex neurons of the neocortex. The original model considers only feedforward connections between a SOM (Self-Organizing Map) and a RSOM (Recurrent SOM). A variant of the SOM-RSOM pair is proposed,...

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