Aggie Szymanska – UCI Neuroinformatics


Publications

Select Publications

A.F. Szymanska, C. Heylman, R. Datta, E. Gratton, and Z. Nenadic. Automated detection and analysis of depolarization events in human cardiomyocytes using MaDEC. Computers in Biology and Medicine, 2016. (Download code)

A.F. Szymanska, C. Kobayashi, H. Norimoto, T. Ishikawa, Y. Ikegaya, and Z. Nenadic. Accurate Detection of Low Signal-to-Noise Ratio Neuronal Calcium Transient Waves Using a Matched Filter. Journal of Neuroscience Methods, 2016. (Download code)

A.F. Szymanska, M. Doty, K.V. Scannell, and Z. Nenadic, A supervised multi-sensor matched filter for the detection of extracellular action potentials, Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014.

A. Szymanska, A. Hajirasooliha, and Z. Nenadic, Source location as feature for the classification of multi-sensor extracellular action potentials, Proc. of the 6th Annual International IEEE EMBS Conference on Neural Engineering, 2013.

C.W. Lee, A. Szymanska, Y. Ikegaya, and Z. Nenadic, The accuracy and precision of signal source localization with tetrodes, Proc. of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013.

Other Publications

K. Scannell, A.F. Szymanska, and Z. Nenadic, Intrinsic dimensionality of extracellular action potentials, Proc. of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014.

A. Szymanska and Z. Nenadic, Wavelet-approximated generalized matched filter for the detection of multisensor extracellular action potentials, Proc. of the 6th Annual International IEEE EMBS Conference on Neural Engineering, 2013.

C.W. Lee, A.A. Szymanska, S.C. Wu, A. L. Swindlehurst, Z. Nenadic. A Method for Neuronal Source Identification. ArXiv, 2013.

A.H. Do, P.T. Wang, C.E. King, A. Schombs, J.J. Lin, M. Sazgar, F.P.K. Hsu, S.J. Shaw, D.E. Millett, C.Y. Liu, A. Szymanska, L.A. Chui, and Z. Nenadic, Sensitivity and specificity of upper extremity movements decoded from electrocorticogram, Proc. of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013.