Tsvi Achler

Computational Neuroscience, Recognition Processing

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Achler T. (2015) A localist paradigm for big data Procedia Computer Science. 53: 356-364
Achler T. (2013) Neural networks that perform recognition using generative error may help fill the "neuro-Symbolic Gap" Biologically Inspired Cognitive Architectures. 3: 6-12
Achler T. (2012) Towards bridging the gap between pattern recognition and symbolic representation within neural networks Aaai Workshop - Technical Report. 2-8
Achler T, Ham M, Barr S, et al. (2011) Asymmetry and similarity phenomena in backwards masking experiments suggest internal reconstruction F1000research. 2
Achler T. (2010) Evaluating the role of feedback regulation in recognition processing Bmc Neuroscience. 11: 54
Achler T, Vural DC, Amir E. (2009) Counting objects with biologically inspired regulatory-feedback networks Proceedings of the International Joint Conference On Neural Networks. 36-40
Achler T, Amir E. (2008) Input feedback networks: Classification and inference based on network structure Frontiers in Artificial Intelligence and Applications. 171: 15-26
Achler T. (2007) Object classification with recurrent feedback neural networks Proceedings of Spie - the International Society For Optical Engineering. 6563
Achler T. (2002) Input shunt networks Neurocomputing. 44: 249-255