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All Outputs (166)

A Model for Emergent Chaotic Order in Small Neural Networks (2003)
Journal Article
Andras, P. (2003). A Model for Emergent Chaotic Order in Small Neural Networks. Journal of Integrative Neuroscience, 2(1), 55-69. https://doi.org/10.1142/S0219635203000172

A new neural network model is introduced in this paper. The aim of the proposed Sierpinski neural networks is to provide a simple and biologically plausible neural network architecture that produces emergent complex spatio-temporal patterns through t... Read More about A Model for Emergent Chaotic Order in Small Neural Networks.

What is management and what do managers do? A systems theory account (2003)
Journal Article
Charlton, B. G., & Andras, P. (2003). What is management and what do managers do? A systems theory account. Philosophy of Management, 3, 3-15. https://doi.org/10.5840/pom2003332

Systems Theory analyses the world in terms of communications and divides the natural world into environment and systems. Systems are characterised by their high density of communications and tend to become more complex and efficient with time, usuall... Read More about What is management and what do managers do? A systems theory account.

Alternative sampling methods for estimating multivariate normal probabilities (2003)
Journal Article
Sándor, Z., & András, P. (2004). Alternative sampling methods for estimating multivariate normal probabilities. Journal of Econometrics, 120(2), 207-234. https://doi.org/10.1016/S0304-4076%2803%2900212-4

We study the performance of alternative sampling methods for estimating multivariate normal probabilities through the GHK simulator. The sampling methods are randomized versions of some quasi-Monte Carlo samples (Halton, Niederreiter, Niederreiter–Xi... Read More about Alternative sampling methods for estimating multivariate normal probabilities.

Understanding neural computation in terms of pattern languages (2003)
Presentation / Conference Contribution
András, P. (2003). Understanding neural computation in terms of pattern languages. In Proceedings of the International Joint Conference on Neural Networks, 2003 (1385-1390)

There is some experimental evidence that the neural information processing in some small neural systems with complex behaviour (e.g., olfactory bulb, crab stomatogastric ganglion) can be best described in terms of activity patterns. Recently the patt... Read More about Understanding neural computation in terms of pattern languages.

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). Berlin: Spri

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.

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

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.

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