Panayiota Poirazi
Orcid: 0000-0001-6152-595XAffiliations:
- Foundation of Research and Technology-Hellas, Heraklion, Crete, Greece
According to our database1,
Panayiota Poirazi
authored at least 31 papers
between 1999 and 2024.
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Bibliography
2024
A Generative Neighborhood-Based Deep Autoencoder for Robust Imbalanced Classification.
IEEE Trans. Artif. Intell., January, 2024
2023
Leveraging dendritic properties to advance machine learning and neuro-inspired computing.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
A Generative Neighborhood-Based Deep Autoencoder with an Extended Loss Function for Robust Imbalanced Classification.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
Synaptic turnover promotes efficient learning in bio-realistic spiking neural networks.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2021
Artificial Neural Networks in Action for an Automated Cell-Type Classification of Biological Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
2017
An Architecture for the Acceleration of a Hybrid Leaky Integrate and Fire SNN on the Convey HC-2ex FPGA-Based Processor.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Dendritic Nonlinearities Reduce Network Size Requirements and Mediate ON and OFF States of Persistent Activity in a PFC Microcircuit Model.
PLoS Comput. Biol., 2014
2013
Computational modeling of the effects of amyloid-beta on release probability at hippocampal synapses.
Frontiers Comput. Neurosci., 2013
Towards predicting persistent activity of neurons by statistical and fractal dimension-based features.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2012
Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons.
PLoS Comput. Biol., 2012
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Frontiers Comput. Neurosci., 2011
A computational exploration of bacterial metabolic diversity identifying metabolic interactions and growth-efficient strain communities.
BMC Syst. Biol., 2011
2010
PLoS Comput. Biol., 2010
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers.
Proceedings of the CISIS 2010, 2010
2009
2008
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008
2007
Neurocomputing, 2007
Modulation of excitability in CA1 pyramidal neurons via the interplay of entorhinal cortex and CA3 inputs.
Neurocomputing, 2007
2006
BMC Bioinform., 2006
2005
Neurocomputing, 2005
2004
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules.
IEEE Trans. Neural Networks, 2004
2000
Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier.
Neural Comput., 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999