Publications
Conferences
K. Fakhar, F. Hadaeghi and C. C. Hilgetag (2022): Causal Influences Decouple From Their Underlying Network Structure In Echo State Networks, IEEE International Joint Conference on Neural Networks (IJCNN), doi: 10.1109/IJCNN55064.2022.9892782.
Z. Ansari, F. Pourhoseini and F. Hadaeghi (2022): Heterogeneous Reservoir Computing Models for Persian Speech Recognition, IEEE International Joint Conference on Neural Networks (IJCNN), doi: 10.1109/IJCNN55064.2022.9892570.
F. Hadaeghi, B. Diercks, I. Wolf, R. Werner (2020): Reservoir Computing for Jurkat T-Cell Segmentation in High Resolution Live Cell Ca^{2+} Fluorescence Microscopy. IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
X. He, T. Liu, F. Hadaeghi, H. Jaeger (2019): Reservoir Transfer on Analog Neuromorphic Hardware. Int. IEEE EMBS Conf. on Neural Engineering (NER '19) 3rd best paper award (pdf)
F. Hadaeghi (2019): Spiking Reservoir Computing Model for Patient-customized ECG Monitoring. Bernstein conference.
Tech Reports
F. Hadaeghi, X. He, H. Jaeger, "Unconventional Information Processing Systems, Novel Hardware: A Tour D'Horizon", IRC-Library, Information Resource Centerer Jacobs University Bremen.
Book Chapters
F. Hadaeghi, "Neuromorphic Electronic Systems for Reservoir Computing", Reservoir Computing: Theory, Physical Implementations, and Applications, pp. 221-237, Springer, 2021.
Journals
F. Hadaeghi, B.P. Diercks, D.Schetelig, F. Damicelli, I.M. Wolf, R. Werner,"Spatio-temporal feature learning with reservoir computing for T-cell segmentation in live-cell Ca2+ fluorescence microscopy", Scientific Reports 11 (1), 1-12
F. Hadaeghi, "Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices", arXiv preprint.
F. Hadaeghi, H. Jaeger, "Computing optimal discrete readout weights in reservoir computing is NP-hard", Neurocomputing (2019), arXiv preprint.
Z. Rostami, V-T. Pham, S. Jafari, F. Hadaeghi, J. Ma, "Taking control of initiated propagating wave in a neuronal network using magnetic radiation", Applied Mathematics and Computation (2018)
A. Bayani, F. Hadaeghi, S. Jafari, G. Murray, "Critical slowing down as an early warning of transitions in episodes of bipolar disorder: A simulation study based on a computational model of circadian activity rhythms", Chronobiology international 34 (2), 235-245
F. Hadaeghi, M.R.H Golpayegani, S. Jafari, G. Murray, “Towards a complex system understanding of bipolar disorder: A chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder”, Australian & New Zealand Journal of Psychiatry 50 (8), 783-792
F. Hadaeghi, M.R.H Golpayegani, Greg Murray, “Towards a complex system understanding of bipolar disorder: A Map Based Model of a Complex Winnerless Competition”, Journal of theoretical biology 376, 74-81
M. Shahzad, V. Pham, M.A Ahmad, S. Jafari, F. Hadaeghi, “Synchronization and circuit design of a chaotic system with coexisting hidden attractors”, The European Physical Journal Special Topics 224 (8), 1637-1652
F. Hadaeghi, M.R.H. Golpayegani, L. Gardini, “A Non-autonomous System Leading to Cyclic Chaotic Sets to model Physiological Rhythms”, Applied Mathematics and Computation 281, 343-355
B Safarbali, F Hadaeghi, S Gharibzadeh, "Mesoscopic model of neuronal system deficits in Multiple Sclerosis", Journal of theoretical biology 411, 6-15
F. Hadaeghi, M.R.H Golpayegani, K. Moradi, “Does "crisis-induced intermittency explain bipolar disorder dynamics?”, Frontiers in computational neuroscience 7, 116
F. Hadaeghi, M.R.H Golpayegani, Shahriar Gharibzadeh, “What is the mathematical description of the treated mood pattern in bipolar disorder?”, Frontiers in computational neuroscience 7, 106