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1-10 of 37 reviews |
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A generalized analog implementation of piecewise linear neuron models using CCII building blocks Soleimani H., Ahmadi A., Bavandpour M., Sharifipoor O. Neural Networks 5126-38, 2014. Type: Article
The second generation current conveyor (CCII) is becoming a popular design choice for analog very large-scale integration (VLSI) designs. This paper uses it for analog implementation of some piecewise linear neural models dubbed two po...
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May 27 2014 |
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Direct kernel perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation Fernández-Delgado M., Cernadas E., Barro S., Ribeiro J., Neves J. Neural Networks 5060-71, 2014. Type: Article
Categorized as supervised learning algorithms, margin-classification systems are often deployed to arrive at the decision boundary that separates different classes in a hyperplane. A new margin-classification method, direct kernel perc...
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May 5 2014 |
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Cognitive memory Widrow B., Aragon J. Neural Networks 413-14, 2013. Type: Article
If you have basic knowledge of neural networks and are interested in building a new kind of computer memory that uses pattern recognition to return not only the recognized item but all related items, then this paper is for you....
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Feb 25 2014 |
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Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks Romero E., Alquézar R. Neural Networks 25122-129, 2012. Type: Article
Error minimized extreme learning machines (EM-ELMs) were introduced to improve upon the learning time of feed-forward learning neural networks [1]. EM-ELMs are constructed by an incremental process that introduces hidden nodes into the...
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Mar 2 2012 |
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Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving Dandurand F., Shultz T., Rey A. Neural Networks 2541-56, 2012. Type: Article
Dandurand et al. have devised a computational model, and a way to train it, that better matches human performance on learning a certain problem-solving task than their previous model. The problem to be solved is to find which of 12 ite...
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Mar 1 2012 |
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An architectural model of conscious and unconscious brain functions: global workspace theory and IDA Baars B., Franklin S. Neural Networks 20(9): 955-961, 2007. Type: Article
Baars has registered at least 25 years of active pursuit of “conscious contents” as “coherent, global information” in brain-like behavior. Global workspace theory (GWT) postulates that the role o...
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Mar 4 2008 |
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Phenomenology and digital neural architectures Aleksander I., Morton H. Neural Networks 20(9): 932-937, 2007. Type: Article
What Aleksander and Morton call Axiomatic Consciousness Theory in this paper is an entry point into a program for constructing a neuroarchitectural model of visual phenomenology. The five axioms used deal with: the sensation of presenc...
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Feb 20 2008 |
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Stochastic complexities of general mixture models in variational Bayesian learning Watanabe K., Watanabe S. Neural Networks 20(2): 210-219, 2007. Type: Article
In real-world problems, the probability distribution of a given data set usually has multiple modes. The probability distribution can be estimated as a mixture of single-mode distributions. A powerful method for estimating the mixture ...
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Jun 15 2007 |
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The emergence of goals in a self-organizing network: a non-mentalist model of intentional actions Louzoun Y., Atlan H. Neural Networks 20(2): 156-171, 2007. Type: Article
Self-organization has been shown to exist for geometrical structures; that is, complex global spatiotemporal structures have been produced in nontrivial ways by relatively simple constraints, deterministic or stochastic, at the level o...
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May 31 2007 |
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The role of short-term depression in sustained neural activity in the prefrontal cortex: a simulation study Igarashi Y., Sakumura Y., Ishii S. Neural Networks 19(8): 1137-1152, 2006. Type: Article
The neural mechanisms underlying memory retention and memory selection, both important ingredients of decision making, are studied via computer simulation of a biophysically realistic network model in this paper....
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May 4 2007 |
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