Publications

[Extracted from DiVA, the publication database at KTH.]

Olshevsky, V.; Khotyaintsev, Y.; Lalti, A.; Divin, A.; Delzanno, G.; Anderzén Rodenkirchen, S.; Herman, P.; Chien, S.; Avanov, L.; Dimmock, A.; Markidis, S. (2021):
Automated Classification of Plasma Regions Using 3D Particle Energy Distributions.
Journal of Geophysical Research - Space Physics 126: [Details]
Karvonen, A.; Cvetkovic, V.; Herman, P.; Johansson, K.; Kjellström, H.; Molinari, M.; Skoglund, M. (2021):
The ‘New Urban Science’: towards the interdisciplinary and transdisciplinary pursuit of sustainable transformations.
Urban Transformations 3: [Details]
Ravichandran, N.; Lansner, A.; Herman, P. (2021):
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study.
[Conference paper] 30th International Conference on Artificial Neural Networks (ICANN), SEP 14-17, 2021, ELECTR NETWORK; Artificial Neural Networks And Machine Learning,  ICANN 2021, Pt V 162-173 [Details]
Hornung, M.; Taubmann, O.; Ditt, H.; Menze, B.; Herman, P.; Fransén, E. (2020):
Detection of Ischemic Infarct Core in Non-contrast Computed Tomography.
[Conference paper] 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020; Lima; Peru; 4 October 2020 through 4 October 2020; Machine Learning in Medical Imaging 260-269 [Details]
Fiebig, F.; Herman, P.; Lansner, A. (2020):
An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity.
ENEURO 7: [Details]
Ravichandran, N.; Lansner, A.; Herman, P. (2020):
Learning representations in Bayesian Confidence Propagation neural networks.
[Conference paper] International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), JUL 19-24, 2020, ELECTR NETWORK; 2020 International joint conference on neural networks (IJCNN) [Details]
Markidis, S.; Peng, I.; Podobas, A.; Jongsuebchoke, I.; Bengtsson, G.; Herman, P. (2020):
Automatic Particle Trajectory Classification in Plasma Simulations.
[Conference paper] SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis Virtual Conference, November 9-19, 2020; 2020 IEEE/ACM workshop on machine learning in high performance computing environments (mlhpc 2020) and workshop on artificial intelligence and machine learning for scientific applications (ai4s 2020) 64-71 [Details]
Entezarjou, A.; Bonamy, A.; Benjaminsson, S.; Herman, P.; Midlov, P. (2020):
Human- Versus Machine Learning-Based Triage Using Digitalized Patient Histories in Primary Care - Comparative Study.
JMIR Medical Informatics 8: [Details]
Zufiria, B.; Qiu, S.; Yan, K.; Zhao, R.; Wang, R.; She, H.; Zhang, C.; Sun, B.; Herman, P.; Du, Y.; Feng, Y. (2019):
A feature-based convolutional neural network for reconstruction of interventional MRI.
NMR in Biomedicine : [Details]
Singer, A.; Zhang, C.; Wang, T.; Qiu, S.; Li, D.; Du, Y.; Liang, Z.; Herman, P.; Sun, B.; Feng, Y. (2019):
Post-operative electrode placement prediction in deep brain stimulation using support vector regression.
[Conference paper] Third International Symposium on Image Computing and Digital Medicine, ISICDM 2019, Xi'an, China, August 24-26, 2019; Proceedings of the Third International Symposium on Image Computing and Digital Medicine, ISICDM 2019 202-207 [Details]
Martinez Mayorquin, R.; Kviman, O.; Lansner, A.; Herman, P. (2019):
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.
[Conference paper] Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019; 28th International Conference on Artificial Neural Networks, ICANN 2019 793-805 [Details]
Gunnlaugsson, E.; Ragnarsdottir, H.; Prainsson, H.; Finnsson, E.; Jonsson, S.; Helgadottir, H.; Agustsson, J.; Herman, P. (2019):
End-to-end machine learning on raw eeg signals for sleep stage classification.
Sleep Medicine 64: S139-S139 [Details]
Martinez Mayorquin, R.; Lansner, A.; Herman, P. (2019):
Probabilistic associative learning suffices for learning the temporal structure of multiple sequences.
PLOS ONE 14: [Details]
Lundqvist, M.; Herman, P.; Warden, M.; Brincat, S.; Miller, E. (2018):
Gamma and beta bursts during working memory readout suggest roles in its volitional control.
Nature Communications 9: [Details]
Wang, R.; Gäverth, J.; Herman, P. (2018):
Changes in the neural and non-neural related properties of the spastic wrist flexors after treatment with botulinum toxin a in post-stroke subjects - An optimization study.
Frontiers in Bioengineering and Biotechnology 9: [Details]
Chien, S.; Markidis, S.; Sishtla, C.; Santos, L.; Herman, P.; Nrasimhamurthy, S.; Laure, E. (2018):
Characterizing Deep-Learning I/O Workloads in TensorFlow.
[Conference paper] 3rd IEEE/ACM Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, PDSW-DISCS 2018; Dallas; United States; 12 November 2018; Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis 54-63 [Details]
Iatropoulos, G.; Herman, P.; Lansner, A.; Karlgren, J.; Larsson, M.; Olofsson, J. (2018):
The language of smell - Connecting linguistic and psychophysical properties of odor descriptors.
Cognition 178: 37-49 [Details]
Lundqvist, M.; Herman, P.; Miller, E. (2018):
Working Memory - Delay Activity, Yes! Persistent Activity? Maybe Not.
Journal of Neuroscience 38: 7013-7019 [Details]
Ravichandran, N.; Yang, F.; Peters, C.; Lansner, A.; Herman, P. (2018):
Pedestrian simulation as multi-objective reinforcement learning.
[Conference paper] 18th ACM International Conference on Intelligent Virtual Agents, IVA 2018; Western Sydney University's new Parramatta City Campus, Sydney; Australia; 5 November 2018 through 8 November 2018; Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018 307-312 [Details]
Iatropoulos, G.; Olofsson, J.; Herman, P.; Lansner, A.; Larsson, M. (2017):
Analysis of Statistics and Semantic Relations of Odor-Describing Words in Written Olfactory Versus Non- Olfactory Contexts.
Chemical Senses 42: E34-E35 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2017):
Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns.
IEEE transactions on fuzzy systems 25: 29-42 [Details]
Herman, P.; Benjaminsson, S.; Lansner, A. (2017):
Odor recognition in an attractor network model of the mammalian olfactory cortex.
[Conference paper] 2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, United States, 14 May 2017 through 19 May 2017; 2017 International Joint Conference on Neural Networks (IJCNN) 3561-3568 [Details]
Wang, R.; Herman, P.; Ekeberg, Ö.; Gäverth, J.; Fagergren, A.; Forssberg, H. (2017):
Neural and non-neural related properties in the spastic wrist flexors - An optimization study.
Medical Engineering and Physics 47: 198-209 [Details]
Mbuvha, R.; Jonsson, M.; Ehn, N.; Herman, P. (2017):
Bayesian neural networks for one-hour ahead wind power forecasting.
[Conference paper] 6th IEEE International Conference on Renewable Energy Research and Applications, ICRERA 2017, 5 November 2017 through 8 November 2017, San Diego, United States; 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 2017 591-596 [Details]
Lundqvist, M.; Rose, J.; Herman, P.; Brincat, S.; Buschman, T.; Miller, E. (2016):
Gamma and Beta Bursts Underlie Working Memory.
Neuron 90: 152-164 [Details]
Ekeberg, Ö.; Fransén, E.; Hellgren Kotaleski, J.; Herman, P.; Kumar, A.; Lansner, A.; Lindeberg, T. (2016):
Computational Brain Science at CST, CSC, KTH.
Other [Details]
Karlsson, V.; Herman, P.; Karlgren, J. (2016):
Evaluating Categorisation in Real Life - An argument against simple but impractical metrics.
[Conference paper] CLEF; 7th CLEF Conference and Labs of the Evaluation Forum [Details]
Benjaminsson, S.; Herman, P.; Lansner, A. (2016):
Performance of a computational model of the mammalian olfactory system.
Chapter in book [Details]
Herman, P.; Lundqvist, M.; Lansner, A. (2013):
Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network.
Brain Research 1536: 68-87 [Details]
Lundqvist, M.; Herman, P.; Palva, M.; Palva, S.; Silverstein, D.; Lansner, A. (2013):
Stimulus detection rate and latency, firing rates and 1-40Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model.
NeuroImage 83: 458-471 [Details]
Lundqvist, M.; Herman, P.; Lansner, A. (2013):
Effect of Prestimulus Alpha Power, Phase, and Synchronization on Stimulus Detection Rates in a Biophysical Attractor Network Model.
Journal of Neuroscience 33: 11817-11824 [Details]
Persaud, K.; Bernabei, M.; Benjaminsson, S.; Herman, P.; Lansner, A. (2012):
Reverse Engineering of Nature in the field of Chemical Sensors.
[Conference paper] 14th International Meeting on Chemical Sensors - IMCS 2012; [Details]
Benjaminsson, S.; Silverstein, D.; Herman, P.; Melis, P.; Slavnić, V.; Spasojević, M.; Alexiev, K.; Lansner, A. (2012):
Visualization of Output from Large-Scale Brain Simulations.
Report [Details]
Lundqvist, M.; Herman, P.; Lansner, A. (2012):
Variability of spike firing during theta-coupled replay of memories in a simulated attractor network.
Brain Research 1434: 152-161 [Details]
Herman, P.; Lansner, A. (2011):
Odor recognition framework for evaluating olfactory codes.
[Conference paper] 20th Congress of European Chemoreception Research Organization (ECRO-2010); E17-E17 [Details]
Lundqvist, M.; Herman, P.; Lansner, A. (2010):
Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model.
Journal of cognitive neuroscience 23: 3008-3020 [Details]
Prasad, G.; Herman, P.; Coyle, D.; McDonough, S.; Crosbie, J. (2010):
Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery - A feasibility study.
Journal of NeuroEngineering and Rehabilitation 7: 60 [Details]
Prasad, G.; Herman, P.; Coyle, D.; McDonough, S.; Crosbie, J. (2009):
Using motor imagery based brain-computer interface for post-stroke rehabilitation.
[Conference paper] 4th International IEEE/EMBS Conference on Neural Engineering, NER '09, Antalya, TURKEY, APR 29-MAY 02, 2009; 2009 4TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING 251-255 [Details]
Brouwer, A.; Hogervorst, M.; Herman, P.; Kooi, F. (2009):
Are you really looking? - Finding the answer through fixation patterns and EEG.
[Conference paper] 5th International Conference on Foundations of Augmented Cognition, FAC 2009, San Diego, CA, JUL 19-24, 2009; FOUNDATIONS OF AUGMENTED COGNITION, PROCEEDINGS   329-338 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2008):
Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing.
[Conference paper] IEEE International Conference on Systems, Man and Cybernetics; IEEE SMC 2008 1343-1349 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2008):
Design and on-line evaluation of type-2 fuzzy logic system-based framework for handling uncertainties in BCI classification.
[Conference paper] 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08; 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 4242-4245 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2008):
Comparative analysis of spectral approaches to feature extraction for EEG-based motor imagery classification.
IEEE transactions on neural systems and rehabilitation engineering 16: 317-326 [Details]
Coyle, D.; Herman, P.; Prasad, G.; McGinnity, T. (2007):
Multi-classifier Verification of Neural Time-Series Prediction Preprocessing for a BCI.
[Conference paper] ISSC2007: 15th IET Irish Signals and Systems Conference, Intelligent Systems Research Centre, University of Ulster, Magee Campus, Derry, Northern Ireland, UK, 13-14 September 2007; IET Irish Signals and System Conference 2007 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2007):
Support vector-enhanced design of a T2FL approach to motor imagery-related EEG pattern recognition.
[Conference paper] 2007 IEEE International Conference on Fuzzy Systems, FUZZY, London, 23 July 2007 through 26 July 2007; IEEE International Conference on Fuzzy Systems 1938-1943 [Details]
Glackin, C.; Maguire, L.; McIvor, R.; Humphreys, P.; Herman, P. (2007):
A comparison of fuzzy strategies for corporate acquisition analysis.
Fuzzy sets and systems (Print) 158: 2039-2056 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2006):
Critical Observations on Interval Type-2 Fuzzy Logic Approach to Uncertainty Handling in a Brain-Computer Interface Design.
[Conference paper] 11th International Conference on Information Processing and Management of Uncertainty, Paris, France, July 2-7 2006; Proc. IPMU 2006 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2006):
A Fuzzy Logic Classifier Design for Enhancing BCI Performance.
[Conference paper] 3rd International Brain-Computer Interface; Workshop and Training Course 2006. Graz, Austria. September 2 1-24 2006; [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2005):
Investigation of the Type-2 Fuzzy Logic Approach to Classification in an EEG-based Brain-Computer Interface.
[Conference paper] 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005.; PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY 5354-5357 [Details]
Coyle, D.; Prasad, G.; McGinnity, T.; Herman, P. (2004):
Estimating the Predictability of EEG Recorded Over the Motor Cortex Using Information Theoretic Functionals.
Biomedizinische Technik (Berlin. Zeitschrift) 49: 43-44 [Details]
Herman, P.; Prasad, G.; McGinnity, T. (2004):
Feature Extraction From the EEG for a Brain-Computer Interface Using Genetic Matching Pursuit Algorithm with Gabor Dictionary.
[Conference paper] IEEE System, Man and Cybernetics, UK-RI, 2004; IEEE SMC UK-RI 2004 [Details]

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