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
Review of brain encoding and decoding mechanisms for EEG-based brain–computer interfaceCognitive Neurodynamics - Tập 15 - Trang 569-584 - 2021
Lichao Xu, Minpeng Xu, Tzyy-Ping Jung, Dong Ming
A brain–computer interface (BCI) can connect humans and machines directly and
has achieved successful applications in the past few decades. Many new BCI
paradigms and algorithms have been developed in recent years. Therefore, it is
necessary to review new progress in BCIs. This paper summarizes progress for
EEG-based BCIs from the perspective of encoding paradigms and decoding
algorithms, which ar... hiện toàn bộ