Outputs (161)

Computation with chaotic patterns (2002)
Journal Article
Andras, P. (2002). Computation with chaotic patterns. Neurocomputing, 44-46, 263-268. https://doi.org/10.1016/S0925-2312%2802%2900347-8

The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organisms to perform computations. This issue is investigated in the context of neural systems. As a simple model of chaotic patterns, the world of Sierpin... Read More about Computation with chaotic patterns.

Firing Rate Modulation by Backward Propagating Potential Waves (2002)
Preprint / Working Paper
András, P. (2002). Firing Rate Modulation by Backward Propagating Potential Waves

The paper investigates the role of backward propagating potential waves in the regulation of the firing rate input ‐ output transformation function of neurons. The analysis is performed using a simple one dimensional neuron model that allows backward... Read More about Firing Rate Modulation by Backward Propagating Potential Waves.

Natural dynamics and neural networks: Searching for efficient preying dynamics in a virtual world (2001)
Journal Article
András, P. (2001). Natural dynamics and neural networks: Searching for efficient preying dynamics in a virtual world. Journal of Intelligent Systems, 11(3), 173-202. https://doi.org/10.1515/JISYS.2001.11.3.173

The Sierpinski brain (2001)
Presentation / Conference Contribution
András, P. (2001). The Sierpinski brain. In IJCNN'01. International Joint Conference on Neural Networks Proceedings (654-659). https://doi.org/10.1109/IJCNN.2001.939101

The paper presents a new approach to the interpretation of chaotic neural activity. It is suggested that such activity forms neural objects represented as spatio-temporal firing patterns and the neural computations are performed through the interacti... Read More about The Sierpinski brain.

RBF neural networks with orthogonal basis functions (2001)
Book Chapter
Andras, P. (2001). RBF neural networks with orthogonal basis functions. In R. J. Howlett, & L. C. Jain (Eds.), Radial basis function networks 1: Recent developments in theory and applications (67-94). Springer

Neural Network Approximation of Fuzzy Logic Operators (2000)
Journal Article
Andras, P., Kaban, A., & Bossanyi, R. (2000). Neural Network Approximation of Fuzzy Logic Operators. Annales universitatis occidentalis timisiensis series philosophia, XII, 147-159

We investigate in this paper how to use neural networks to help the development of efficient fuzzy decision systems. First we review the basic theories of fuzzy logic and neural networks, and we look at the main applications of the artificial neural... Read More about Neural Network Approximation of Fuzzy Logic Operators.

Approximation of chaotic shapes with tree-structured neural networks (1999)
Presentation / Conference Contribution
Andras, P. (1999). Approximation of chaotic shapes with tree-structured neural networks. In IJCNN'99: International Joint Conference on Neural Networks, Proceedings (817-820). https://doi.org/10.1109/IJCNN.1999.831056

The approximation of highly irregular decision regions is a challenging problem in pattern recognition and classification. Existing neural networks require many neurons for approximating irregular decision regions. A new tree-structured neural networ... Read More about Approximation of chaotic shapes with tree-structured neural networks.

Efficient selection of the node parameters in RBF neural networks (1999)
Presentation / Conference Contribution
Andras, P. (1999). Efficient selection of the node parameters in RBF neural networks. In Seminar of Numerical and Statistical Calculus (9-22)

Orthogonal RBF neural network approximation (1999)
Journal Article
Andras, P. (1999). Orthogonal RBF neural network approximation. Neural Processing Letters, 9, 141-151. https://doi.org/10.1023/A%3A1018621308457

The approximation properties of the RBF neural networks are investigated in this paper. A new approach is proposed, which is based on approximations with orthogonal combinations of functions. An orthogonalization framework is presented for the Gaussi... Read More about Orthogonal RBF neural network approximation.

Amnesia: Neuropsychological Interpretation and Artificial Neural Network Simulation (1998)
Journal Article
Opre, A., & Andras, P. (1998). Amnesia: Neuropsychological Interpretation and Artificial Neural Network Simulation. Cognition, Brain, Behavior: An Interdisciplinary Journal, 2(3-4), 315-335

The amnesia syndrome is characterized by normal perceptual, linguistic and intellectual functioning together with an inability to remember explicitly recent events and new information. Amnesic patients generally exhibit spared priming effects on impl... Read More about Amnesia: Neuropsychological Interpretation and Artificial Neural Network Simulation.