Heterogeneous Inception

1. A real-time reconfigurable architecture for large-scale biophysically-accurate neuron simulation
   A. Zjajo; J. Hofmann; G.J. Christiaanse; M. van Eijk; G. Smaragdos; C. Strydis; A. de Graaf; C. Galuzzi; R. van Leuken;
   IEEE Transactions on Biomedical Circuits and Systems,
   Volume 12, Issue 2, pp. 326-337, 2018. DOI: 10.1109/TBCAS.2017.2780287
   document

2. Multi-layer neuromorphic synapse for reconfigurable networks
   A. Zjajo; S. Kumar; R. van Leuken;
   In IEEE International Conference on Signal Processing,
   Beijing, China, pp. 997-1000, 2018.
   document

3. Uncertainty in noise-driven steady-state neuromorphic network for ECG data classificaiton
   A. Zjajo; J. Mes; E. Kolagasiogly; S. Kumar; R. van Leuken;
   In IEEE International Symposium on Computer Based Medical Systems,
   Karlstad, Sweden, pp. 434-435, 2018. ISSN 2372-9198. DOI: 10.1109/CBMS.2018.00082
   document

4. Digital Spiking Neuron Cells for Real-Time Reconfigurable Learning Networks
   Haipeng Lin; A. Zjajo; R. van Leuken;
   In 30th IEEE International System-on-Chip Conference (SOCC),
   Arlington (VA), September 2017. DOI: 10.1109/SOCC.2017.8226029
   document

5. Neuromorphic spike data classifier for reconfigurable brain-machine interface
   A. Zjajo; S. Kumar; R. van Leuken;
   In 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER),
   pp. 150-153, May 2017. DOI: 10.1109/NER.2017.8008314
   document

6. Neuromorphic Self-Organizing Map Design for Classification of Bioelectric-Timescale Signals
   J. Mes; E. Stienstra; Xuefei You; S. Kumar; A. Zjajo; C. Galuzzi; R. van Leuken;
   In Int. Conf. on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XVII),
   July 2017.

7. Energy-Efficient Neuromorphic Receptors for Wide-Range Temporal Patterns of Post-Synaptic Responses
   Xuefei You; A. Zjajo; S. S. Kumar; R. van Leuken;
   In IEEE Nordic Circuits and Systems Conference (2017 NorCAS),
   Linkoping (Sweden), October 2017. DOI: 10.1109/NORCHIP.2017.8124951
   document

8. Multi-domain SystemC model of 128-channel time-multiplexed brain-machine interface
   K. Wirianto; A. Zjajo; C. Galuzzi; R. van Leuken;
   In IEEE International Conference on Embedded Computer Systems,
   Samos, Greece, pp. pp. 295-302, 2015.
   document

9. Noise analysis of programmable gain analog to digital converter for integrated neural implant front end
   A. Zjajo; C. Galuzzi; R. van Leuken;
   In IEEE International Conference on Biomedical Electronics and Devices,
   Lisbon, Portugal, pp. pp. 5-12, 2015.
   document

10. Stochastic noise analysis of neural interface front end
    A. Zjajo; C. Galuzzi; R. van Leuken;
    In IEEE International Symposium on Circuits and Systems,
    Lisbon, Portugal, pp. pp. 169-172, 2015.
    document

11. Sequential power per area optimization of multichannel neural recording interface based on dual quadratic programming
    A. Zjajo; C. Galuzzi; R. van Leuken;
    In IEEE International Conference on Neural Engineering,
    Montpellier, France, pp. pp. 9-12, 2015.
    document

12. A 31 pJ/spike hybrid stochastic neuromorphic signal processor
    A. Zjajo; C. Galuzzi; R. van Leuken;
    In IEEE Signal Processing in Medicine and Biology Symposium,
    Philadelphia, USA, pp. pp. 1-2, 2015.
    document

13. Frequency response mismatch correction in multichannel time interleaved analog bemformers for ultrasound medical imaging
    A. Zjajo; R. van Leuken;
    In IEEE International Conference on Bioinformatics and Biomedical Engineering,
    Shangai, China, pp. pp. 341-348, 2015.
    document

14. Iterative learning cascaded multiclass kernel based support vector machine for neural spike data classification
    A. Zjajo; and R. van Leuken;
    In IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology,
    Niagara Falls, Canada, pp. pp. 1-6, 2015.
    document

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