Pawel Andrzej Herman

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Energy Distribution

Computed Tomography

Top Venues

Publications

Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman
Benchmarking Hebbian learning rules for associative memory. CoRR (2024)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. CoRR (2024)
Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask. KDD (2024)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking representation learning for associative memories. CoRR (2024)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. CoRR (2023)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. ESANN (2023)
Anders Lansner, Florian Fiebig, Pawel Andrzej Herman
Hebbian fast plasticity and working memory. CoRR (2023)
Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis
NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage. PDP (2022)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition. CoRR (2022)
Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Andrzej Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction. CoRR (2022)
Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. IJCNN (2022)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. LOD (2) (2022)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. ICANN (5) (2021)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. CoRR (2021)
Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART (2021)
Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR (2021)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. ESANN (2021)
Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman
Automatic Particle Trajectory Classification in Plasma Simulations. CoRR (2020)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Learning representations in Bayesian Confidence Propagation neural networks. CoRR (2020)
Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman
Automatic Particle Trajectory Classification in Plasma Simulations. MLHPC/AI4S@SC (2020)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like approaches to unsupervised learning of hidden representations - a comparative study. CoRR (2020)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Learning representations in Bayesian Confidence Propagation neural networks. IJCNN (2020)
Maximilian Hornung, Oliver Taubmann, Hendrik Ditt, Björn H. Menze, Pawel Andrzej Herman, Erik Fransén
Detection of Ischemic Infarct Core in Non-contrast Computed Tomography. MLMI@MICCAI (2020)
Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. ICANN (1) (2019)
Alexa Singer, Chencheng Zhang, Tao Wang, Suhao Qiu, Dianyou Li, Yiping Du, Zhi-Pei Liang, Pawel Andrzej Herman, Bomin Sun, Yuan Feng
Post-Operative Electrode Placement Prediction in Deep Brain Stimulation Using Support Vector Regression. ISICDM (2019)
Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Andrey Divin, Gian Luca Delzanno, Sven Anderzen, Pawel Andrzej Herman, Steven Wei Der Chien, Levon Avanov, Stefano Markidis
Automated classification of plasma regions using 3D particle energy distribution. CoRR (2019)
Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure
Characterizing Deep-Learning I/O Workloads in TensorFlow. CoRR (2018)
Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman
Pedestrian simulation as multi-objective reinforcement learning. IVA (2018)
Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure
Characterizing Deep-Learning I/O Workloads in TensorFlow. PDSW-DISCS@SC (2018)
Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner
Odor recognition in an attractor network model of the mammalian olfactory cortex. IJCNN (2017)
Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity
Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns. IEEE Trans. Fuzzy Syst. 25 (1) (2017)
Vide Karlsson, Pawel Andrzej Herman, Jussi Karlgren
Evaluating Categorisation in Real Life - An Argument Against Simple but Impractical Metrics. CLEF (2016)
Mikael Lundqvist, Pawel Andrzej Herman, J. Matias Palva, Satu Palva, David Silverstein, Anders Lansner
Stimulus detection rate and latency, firing rates and 1-40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model. NeuroImage 83 (2013)
Mikael Lundqvist, Pawel Andrzej Herman, Anders Lansner
Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model. J. Cogn. Neurosci. 23 (10) (2011)
Anne-Marie Brouwer, Maarten A. Hogervorst, Pawel Andrzej Herman, Frank Kooi
Are You Really Looking? Finding the Answer through Fixation Patterns and EEG. HCI (16) (2009)
Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity
Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing. SMC (2008)
Cornelius Glackin, Liam P. Maguire, Ronan T. McIvor, Paul K. Humphreys, Pawel Andrzej Herman
A comparison of fuzzy strategies for corporate acquisition analysis. Fuzzy Sets Syst. 158 (18) (2007)
Pawel Andrzej Herman, Girijesh Prasad, T. Martin McGinnity
Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition. FUZZ-IEEE (2007)