Outputs (75)

Social learning and cultural evolution in artificial life (2018)
Journal Article
Marriott, C., Borg, J. M., Andras, P., & Smaldino, P. E. (2018). Social learning and cultural evolution in artificial life. Artificial Life, 24(1), 5-9. https://doi.org/10.1162/ARTL_a_00250

We describe the questions and discussions raised at the First Workshop on Social Learning and Cultural Evolution held at theArtificial Life Conference 2016 in Cancún, Mexico in July 2016. The purpose of the workshop was to assemble artificial life re... Read More about Social learning and cultural evolution in artificial life.

Social learning in repeated cooperation games in uncertain environments (2018)
Journal Article
Andras, P. (2018). Social learning in repeated cooperation games in uncertain environments. Cognitive Systems Research, 51, 24-39. https://doi.org/10.1016/j.cogsys.2018.04.013

Cooperation and social learning are fundamental mechanisms that maintain social organisation among animals and humans. Social institutions can be conceptualised abstractly as cooperation games with social learning. In some cases potential cooperation... Read More about Social learning in repeated cooperation games in uncertain environments.

Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes (2017)
Journal Article
Sirbu, D., Butcher, J. B., Waddell, P. G., Andras, P., & Benniston, A. C. (2017). Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes. Chemistry - A European Journal, 23(58), 14639-14649. https://doi.org/10.1002/chem.201703366

A selection of NIR-optically responsive neuron probes was produced comprising of a donor julolidyl group connected to a BODIPY core and several different styryl and vinylpyridinyl derived acceptor moieties. The strength of the donor–acceptor interact... Read More about Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes.

Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist (2017)
Journal Article
Olorisade, B. K., Brereton, P., & Andras, P. (2017). Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist. Journal of Biomedical Informatics, 73, 1-13. https://doi.org/10.1016/j.jbi.2017.07.010

Context Independent validation of published scientific results through study replication is a pre-condition for accepting the validity of such results. In computation research, full replication is often unrealistic for independent results validation... Read More about Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist.

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.org/10.1016/j.parkreldis.2016.09.009

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., Yakovlev, A., & 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. https://doi.org/10.1109/TBCAS.2016.2571339

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://doi.org/10.1016/j.molstruc.2014.02.026

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.