A novel noninvasive brain–computer interface by imagining isometric force levelsCognitive Neurodynamics - - 2023
Hualiang Li, Xupeng Ye, Yuzhong Liu, Xie Tingjun, Wei Tan, Yulong Shen, Qiru Wang, Xiong Chaolin, Yu Wang, Lin Weilin, Jinyi Long
Towards a unifying model of neural net activity in the visual cortexCognitive Neurodynamics - Tập 1 - Trang 15-25 - 2006
Hermann Haken
A neural net model describing the non-linear interactions between axonal spikes is presented. It reconciles aspects of pattern recognition (as action of an associative memory) with those of spike synchronization and phase locking. The stability of the synchronized state is studied in detail.
Towards new concepts for a biological neuroscience of consciousnessCognitive Neurodynamics - Tập 15 - Trang 783-804 - 2021
Camilo Miguel Signorelli, Daniel Meling
In the search for a sound model of consciousness, we aim at introducing new concepts: closure, compositionality, biobranes and autobranes. This is important to overcome reductionism and to bring life back into the neuroscience of consciousness. Using these definitions, we conjecture that consciousness co-arises with the non-trivial composition of biological closure in the form of biobranes and aut...... hiện toàn bộ
Black-white hole pattern: an investigation on the automated chronic neuropathic pain detection using EEG signalsCognitive Neurodynamics - - 2024
Irem Tasci, Mehmet Baygin, Prabal Datta Barua, Abdul Hafeez-Baig, Sengul Dogan, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya
Electroencephalography (EEG) signals provide information about the brain activities, this study bridges neuroscience and machine learning by introducing an astronomy-inspired feature extraction model. In this work, we developed a novel feature extraction function, black-white hole pattern (BWHPat) which dynamically selects the most suitable pattern from 14 options. We developed BWHPat in a four-ph...... hiện toàn bộ
Atypical temporal-scale-specific fractal changes in Alzheimer’s disease EEG and their relevance to cognitive declineCognitive Neurodynamics - Tập 13 - Trang 1-11 - 2018
Sou Nobukawa, Teruya Yamanishi, Haruhiko Nishimura, Yuji Wada, Mitsuru Kikuchi, Tetsuya Takahashi
Recent advances in nonlinear analytic methods for electroencephalography have clarified the reduced complexity of spatiotemporal dynamics in brain activity observed in Alzheimer’s disease (AD). However, there are far fewer studies exploring temporal scale dependent fractal properties in AD, despite the importance of studying the dynamics of brain activity within physiologically relevant frequency ...... hiện toàn bộ
A Kalman filtering approach to the representation of kinematic quantities by the hippocampal-entorhinal complexCognitive Neurodynamics - Tập 4 - Trang 315-335 - 2010
Graham Wordsworth Osborn
Several regions of the brain which represent kinematic quantities are grouped under a single state-estimator framework. A theoretic effort is made to predict the activity of each cell population as a function of time using a simple state estimator (the Kalman filter). Three brain regions are considered in detail: the parietal cortex (reaching cells), the hippocampus (place cells and head-direction...... hiện toàn bộ
Multiple time delay induced Hopf bifurcation of a cortex - basal ganglia model for Parkinson’s DiseaseCognitive Neurodynamics - - 2024
Qiaohu Zhang, Quansheng Liu, Yuanhong Bi
Exploring the origin of beta - band oscillation in the cortex - basal ganglia model plays an important role in understanding the mechanism of Parkinson’s disease. In this paper, we investigate the effect of three synaptic transmission time delays in the subthalamic nucleus(STN) - the globus pallidus external segment(GPe) loop, the excitatory neurons in the cortex(EXN) - the inhibitory neurons in t...... hiện toàn bộ