7 citations · 21 across the 12 of their papers we have counts for
14 papers
Imagery agnosia and its phenomenology
Włodzisław Duch
Lack of vivid sensory imagery has recently become an active subject of research, under the name of aphantasia. Extremely vivid imagery, or hyperphantasia, is at the other end of th…
ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals
Michał K. Komorowski, Krzysztof Rykaczewski, Tomasz Piotrowski +5
Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can s…
Experiential Learning Styles and Neurocognitive Phenomics
Włodzisław Duch
Phenomics is concerned with detailed description of all aspects of organisms, from their physical foundations at genetic, molecular and cellular level, to behavioural and psycholog…
Neurocognitive Informatics Manifesto
Włodzisław Duch
Informatics studies all aspects of the structure of natural and artificial information systems. Theoretical and abstract approaches to information have made great advances, but hum…
The Markup Language for Designing Gaze Controlled Applications
J. Matulewski, B. Bałaj, I. Mościchowska +4
The Gaze Interaction Markup Language (GIML) is presented, which is new language for designing the gaze-controlled application and psychological experiments (also by non-programmers…
supFunSim: : spatial filtering toolbox for EEG
Krzysztof Rykaczewski, Jan Nikadon, Włodzisław Duch +1
Recognition and interpretation of brain activity patterns from EEG or MEG signals is one of the most important tasks in cognitive neuroscience, requiring sophisticated methods of s…
Early deafness leads to re-shaping of global functional connectivity beyond the auditory cortex
Kamil Bonna, Karolina Finc, Maria Zimmermann +8
Early sensory deprivation such as blindness or deafness shapes brain development in multiple ways. While it is established that deprived brain areas start to be engaged in the proc…
Support Feature Machines
Tomasz Maszczyk, Włodzisław Duch
Support Vector Machines (SVMs) with various kernels have played dominant role in machine learning for many years, finding numerous applications. Although they have many attractive…
Neural eliminators and classifiers
Włodzisław Duch, Rafał Adamczak, Yoichi Hayashi
Classification may not be reliable for several reasons: noise in the data, insufficient input information, overlapping distributions and sharp definition of classes. Faced with sev…
Separability is not the best goal for machine learning
Wlodzislaw Duch
Neural networks use their hidden layers to transform input data into linearly separable data clusters, with a linear or a perceptron type output layer making the final projection o…
Meta-learning: searching in the model space
Włodzisław Duch, Karol Grudzińsk
There is no free lunch, no single learning algorithm that will outperform other algorithms on all data. In practice different approaches are tried and the best algorithm selected.…
Coloring black boxes: visualization of neural network decisions
Wlodzislaw Duch
Neural networks are commonly regarded as black boxes performing incomprehensible functions. For classification problems networks provide maps from high dimensional feature space to…
Kurt Lewin, psychological constructs and sources of brain cognitive activity
Włodzisław Duch
Understanding mind-brain-environment relations is one of the key topics in psychology. Kurt Lewin, inspired by theoretical physics, tried to establish topological and vector psycho…
Memetics and Neural Models of Conspiracy Theories
Włodzisław Duch
Conspiracy theories, or in general seriously distorted beliefs, are widespread. How and why are they formed in the brain is still more a matter of speculation rather than science.…