<--- Back to Details
First PageDocument Content
Artificial intelligence / Machine learning / Applied mathematics / Artificial neural network / Computational neuroscience / Market research / Market segmentation / Mathematical psychology / Encoder / Recurrent neural network / Decoder / Rnn
Date: 2018-06-06 16:33:37
Artificial intelligence
Machine learning
Applied mathematics
Artificial neural network
Computational neuroscience
Market research
Market segmentation
Mathematical psychology
Encoder
Recurrent neural network
Decoder
Rnn

Generalization without Systematicity: Supplementary materials SCAN grammar and interpretation function The phrase-structure grammar generating all SCAN commands is presented in Figure 1. The corresponding interpretation

Add to Reading List

Source URL: cims.nyu.edu

Download Document from Source Website

File Size: 144,66 KB

Share Document on Facebook

Similar Documents

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

Journal of Computational Neuroscience 18, 105–121, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.  A Cellular Mechanism for Graded Persistent Activity in a Model Neuron and Its Im

DocID: 1vcJi - View Document

munich  Bernstein Center for Computational Neuroscience Munich

munich Bernstein Center for Computational Neuroscience Munich

DocID: 1vcv8 - View Document

Blending computational and experimental neuroscience

Blending computational and experimental neuroscience

DocID: 1v9kZ - View Document

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

Florentin Wörgötter Bernstein Center for Computational Neuroscience Göttingen Florentin Wörgötter studied biology and mathematics at the University of Düsseldorf, Germany. He received a Ph.D. degree, studying

DocID: 1v914 - View Document

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

Nonlinear synaptic interaction as a computational resource in the Neural Engineering Framework Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith Centre for Theoretical Neuroscience, University of Waterloo {astoecke, ar

DocID: 1uuia - View Document