Behavioral and Cognitive Neurodynamics
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Computational Neuroscience and Neuroinformatics".
Deadline for manuscript submissions: closed (31 October 2020) | Viewed by 15540
Special Issue Editor
Interests: action–perception cycle; artificial intelligence; associative memory; decision making; dopamine; dynamical systems; emergence of consciousness; emotion recognition; information theory; machine learning; neuromodulation; nonlinear dynamics; recurrent neural dynamics; reward circuits; prediction error; sleep; learning; neural plasticity; working memory
Special Issue Information
Dear Colleagues,
Multiple coding and decoding properties, multiple degrees of integration, and multiple time scales of information processing that are concurrently active make the brain a complex system that requires a transdisciplinary approach of study. Behavioral and cognitive neurodynamics is a field that lies at the crossroads of theoretical, basic, and clinical neurosciences.
This Special Issue of Brain Sciences aims to present a collection of papers covering the most recent advances in cognitive neurodynamics. Authors are invited to submit cutting-edge original studies and reviews that address the field by experimental, clinical, as well as theoretical and computational approaches. Among the experimental methods of investigation of the prospected studies are included functional neuroimaging (fMRI, near infrared spectroscopy, and magnetoencephalography), behavioral assessment of healthy controls and patients by sensorimotor stimulations or transcranial magnetic stimulation, and electrophysiology, at the level of single units, multiple units, electrocorticograms, EEG, and evoked potentials describing coding and learning properties from cell to brain areas. Besides the experimental data, we expect contributions in theoretical and computational neuroscience with new models, new techniques of information processing and data analysis, and simulations of neural networks and neural circuits. Contributions of studies on applications of nonlinear dynamics of brain activity, deterministic chaos, entropy, and statistical mechanics, to obtain a better understanding of human and animal behavior, are welcome.
Prof. Dr. Alessandro E. P. Villa
Guest Editor
Manuscript Submission Information
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Keywords
- Acetylcholine
- Action potential
- Action–perception cycle
- Artificial intelligence
- Associative memory
- Attractor, auditory system
- Basal ganglia
- Brain computer interface (BCI)
- Chaos, computational modelling
- Convolutional neural network
- Decision making, dopamine
- Dynamical systems
- Electroencephalography (EEG)
- Emergence of consciousness
- Emotion recognition, energy feature
- Epilepsy
- Event-related activity
- Fokker–Planck equation
- Fractal, free will
- Functional connectivity
- Global intensity
- Granger causality
- Granger causality
- Graph theory analysis
- Information theory
- Machine learning
- Maximum entropy model
- Memory network
- Motor cortex
- Motor imagery
- Multivoxel pattern analysis
- Mutual information
- Network analysis
- Neural networks
- Neuromodulation
- Non-human primates
- Nonlinear dynamics
- Particle swarm optimization
- Permutation disalignment index
- Posterior parietal cortex, prefrontal cortex
- Recurrent neural dynamics
- Rehabilitation, reward prediction error
- Seizure detection
- Sleep
- Specific entropy measurements
- Spontaneous activity
- State–space model
- Stochastic binding process
- Striatum, supervised learning
- Synaptic plasticity
- Synchronization
- Synchronized rhythm
- Synfire chain, thalamus
- Transcranial simulation
- Unsupervised learning
- Visual system
- Working memory
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