All Outputs (161)

Comparing neurophysiological measurements of simulated and real brains (2003)
Journal Article
Andras, P. (2003). Comparing neurophysiological measurements of simulated and real brains. Neurocomputing, 52-54, 677-682. https://doi.org/10.1016/S0925-2312%2802%2900729-4

The paper presents the comparison of simulated brains with real brains by means of statistical properties of neurophysiological measurements. Two neural models are selected to build a simulated column of the primary visual cortex. The first simulatio... Read More about Comparing neurophysiological measurements of simulated and real brains.

Environmental risk, cooperation, and communication complexity (2003)
Book Chapter
Andras, P., Roberts, G., & Lazarus, J. (2003). Environmental risk, cooperation, and communication complexity. In E. Alonso, D. Kudenko, & D. Kazakov (Eds.), Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning (49-65). Springer. https://doi.org/10.1007/3-540-44826-8_4

The evolution of cooperation and communication in communities of individuals is a puzzling problem for a wide range of scientific disciplines, ranging from evolutionary theory to the theory and application of multi-agent systems. A key issue is to un... Read More about Environmental risk, cooperation, and communication complexity.

Auditing as a tool of public policy: the misuse of quality assurance techniques in the UK university expansion (2002)
Journal Article
Charlton, B. G., & Andras, P. (2002). Auditing as a tool of public policy: the misuse of quality assurance techniques in the UK university expansion. European Political Science, 2, 24-35. https://doi.org/10.1057/eps.2002.42

Democratic deficit and communication hyper-inflation in health care systems (2002)
Journal Article
Andras, P., & Charlton, B. G. (2002). Democratic deficit and communication hyper-inflation in health care systems. Journal of Evaluation in Clinical Practice, 8(3), 291-297. https://doi.org/10.1046/j.1365-2753.2002.00354.x

There is a widespread perception of poor performance and reduced trust in relation to health care systems. The roots of this problem are interpreted in terms of the democratic deficit and communication hyper-inflation. The democratic deficit is chara... Read More about Democratic deficit and communication hyper-inflation in health care systems.

Spectrum-based design of sinusoidal RBF neural networks (2002)
Presentation / Conference Contribution
András, P. (2002). Spectrum-based design of sinusoidal RBF neural networks. In Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN'02) (1421-1426). https://doi.org/10.1109/IJCNN.2002.1007725

This paper introduces and describes the spectrum-based design of radial basis function (RBF) neural networks. The RBF networks used in this paper work with damped sinusoidal nonlinear activation functions. The concept of the associated data spectrum... Read More about Spectrum-based design of sinusoidal RBF neural networks.

Hype and spin in the NHS (2002)
Journal Article
Andras, P., & Charlton, B. (2002). Hype and spin in the NHS. British Journal of General Practice, 52(479), 520-521

Commentary on Sweeney & Kernick (2002), Clinical evaluation: constructing a new model for post-normal medicine (2002)
Journal Article
Andras, P., & Charlton, B. G. (2002). Commentary on Sweeney & Kernick (2002), Clinical evaluation: constructing a new model for post-normal medicine. Journal of Evaluation in Clinical Practice, 8(2), 143-144. https://doi.org/10.1046/j.1365-2753.2002.00324.x

Kernel-kohonen networks (2002)
Journal Article
Andras, P. (2002). Kernel-kohonen networks. International Journal of Neural Systems, 12(2), 117-135. https://doi.org/10.1142/S0129065702001084

We investigate the combination of the Kohonen networks with the kernel methods in the context of classification. We use the idea of kernel functions to handle products of vectors of arbitrary dimension. We indicate how to build Kohonen networks with... Read More about Kernel-kohonen networks.

The equivalence of support vector machine and regularization neural networks (2002)
Journal Article
Andras, P. (2002). The equivalence of support vector machine and regularization neural networks. Neural Processing Letters, 15, 97-104. https://doi.org/10.1023/A%3A1015292818897

We show in this brief paper the equivalence of the support vector machine and regularization neural networks. We prove both implication sides of the equivalence in a generally applicable way. The novelty lies in the effective construction of the regu... Read More about The equivalence of support vector machine and regularization neural networks.

Toward statistically valid population decoding models (2002)
Journal Article
Andras, P., Panzeri, S., & Young, M. P. (2002). Toward statistically valid population decoding models. Neurocomputing, 44, 269-274. https://doi.org/10.1016/S0925-2312%2802%2900349-1

8We focus in this paper on the methodology of building statistically valid population code read-out models for spike train data. A new method is explored, which uses Bayesian networks to formalize the read-out model, Monte Carlo validation to check t... Read More about Toward statistically valid population decoding models.

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.

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

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

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.