Outputs (71)

High-dimensional function approximation with neural networks for large volumes of data (2017)
Journal Article
Andras, P. (2018). High-dimensional function approximation with neural networks for large volumes of data. IEEE Transactions on Neural Networks and Learning Systems, 29(2), 500-508. https://doi.org/10.1109/TNNLS.2017.2651985

Approximation of high-dimensional functions is a challenge for neural networks due to the curse of dimensionality. Often the data for which the approximated function is defined resides on a low-dimensional manifold and in principle the approximation... Read More about High-dimensional function approximation with neural networks for large volumes of data.

Analysis of the dynamics of temporal relationships of neural activities using optical imaging data (2016)
Journal Article
Steyn, J. S., & Andras, P. (2017). Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, 42, 107-121. https://doi.org/10.1007/s10827-016-0630-8

The temporal relationship between the activities of neurons in biological neural systems is critically important for the correct delivery of the functionality of these systems. Fine measurement of temporal relationships of neural activities using mic... Read More about Analysis of the dynamics of temporal relationships of neural activities using optical imaging data.

Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers (2016)
Journal Article
Fisher, J. M., Hammerla, N. Y., Ploetz, T., Andras, P., Rochester, L., & Walker, R. W. (2016). Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. Parkinsonism and Related Disorders, 33, 44-50. https://doi.or

Introduction Current PD assessment methods have inherent limitations. There is need for an objective method to assist clinical decisions and to facilitate evaluation of treatments. Accelerometers, and analysis using artificial neural networks (ANN),... Read More about Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers.

Optogenetics in silicon: A neural processor for predicting optically active neural networks (2016)
Journal Article
Luo, J., Nikolic, K., Evans, B. D., Dong, N., Sun, X., Andras, P., …Degenaar, P. (2017). Optogenetics in silicon: A neural processor for predicting optically active neural networks. IEEE Transactions on Biomedical Circuits and Systems, 11(1), 15-27. htt

We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h... Read More about Optogenetics in silicon: A neural processor for predicting optically active neural networks.

Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients (2015)
Journal Article
Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016). Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients. Telemedicine and e-Health, 22(1), 63-69. https://doi.org/10.1089/tmj.2015.0026

Background:Remote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigorous, systematic evaluation of the acceptability of body-worn sensors in PD... Read More about Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients.

Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging (2014)
Journal Article
Bai, D., Benniston, A. C., Clift, S., Baisch, U., Steyn, J., Everitt, N., & Andras, P. (2014). Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging. Journal of Molecular Structure, 1065-1066, 10-15. https:

The neutral low molecular weight julolidine-based borondipyrromethene (Bodipy) dyads JULBD and MJULBD were used for fast voltage-sensitive dye imaging of neurons in the crab stomatogastric ganglion. The fluorescence modulation of the dyads mirrors al... Read More about Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging.

Function approximation using combined unsupervised and supervised learning (2013)
Journal Article
Andras, P. (2014). Function approximation using combined unsupervised and supervised learning. IEEE Transactions on Neural Networks and Learning Systems, 25(3), 495-505. https://doi.org/10.1109/TNNLS.2013.2276044

Function approximation is one of the core tasks that are solved using neural networks in the context of many engineering problems. However, good approximation results need good sampling of the data space, which usually requires exponentially increasi... Read More about Function approximation using combined unsupervised and supervised learning.

Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance (2012)
Journal Article
Andras, P., & Andras, A. (2013). Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance. https://doi.org/10.1016/j.mehy.2012.11.023

Type 2 diabetes is a serious disease that is affecting an increasing part of the population in most countries. A new hypothesis is presented in this paper about the underlying causes and mechanisms that lead to the development of this disease. It is... Read More about Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance.

A Bayesian interpretation of the particle swarm optimization and its kernel extension (2012)
Journal Article
Andras, P. (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLOS ONE, 7(11), Article e48710. https://doi.org/10.1371/journal.pone.0048710

Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g. bare bones particle swarm) with the aim to achieve more ge... Read More about A Bayesian interpretation of the particle swarm optimization and its kernel extension.

Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging (2011)
Journal Article
Städele, C., Andras, P., & Stein, W. (2012). Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging. Journal of Neuroscience Methods, 203(1), 78-88. https://doi.org/10.1016/j.jneu

Optical imaging using voltage-sensitive dyes (VSDs) is a promising technique for the simultaneous activity recording of many individual neurons. While such simultaneous recordings are critical for the understanding of the integral functionality of ne... Read More about Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging.