Low-Frequency Oscillations for Nonlocal Neuronal Coupling in Shared Intentionality Before and After Birth: Toward the Origin of Perception
Abstract
(ISSN 2573-4407)
OBM Neurobiology is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. By design, the scope of OBM Neurobiology is broad, so as to reflect the multidisciplinary nature of the field of Neurobiology that interfaces biology with the fundamental and clinical neurosciences. As such, OBM Neurobiology embraces rigorous multidisciplinary investigations into the form and function of neurons and glia that make up the nervous system, either individually or in ensemble, in health or disease. OBM Neurobiology welcomes original contributions that employ a combination of molecular, cellular, systems and behavioral approaches to report novel neuroanatomical, neuropharmacological, neurophysiological and neurobehavioral findings related to the following aspects of the nervous system: Signal Transduction and Neurotransmission; Neural Circuits and Systems Neurobiology; Nervous System Development and Aging; Neurobiology of Nervous System Diseases (e.g., Developmental Brain Disorders; Neurodegenerative Disorders).
OBM Neurobiology publishes research articles, technical reports and invited topical reviews. Although the OBM Neurobiology Editorial Board encourages authors to be succinct, there is no restriction on the length of the papers. Authors should present their results in as much detail as possible, as reviewers are encouraged to emphasize scientific rigor and reproducibility.
Archiving: full-text archived in CLOCKSS.
Publication Speed (median values for papers published in 2022): Submission to First Decision: 6 weeks; Submission to Acceptance: 14 weeks; Acceptance to Publication: 8 days (1-2 days of FREE language polishing included)
Special Issue
New Concepts and Advances in Neurotechnology
Submission Deadline: November 30, 2023 (Open) Submit Now
Guest Editor
Raul Valverde, PhD PEng CPC, Senior Lecturer
Director of Coop for Supply Chain and Business Technology Management, JMSB Concordia University, Canada
Research interests: Biofeedback, Neurofeedback, Cyberpsychology, Cybertherapy, Gas Discharge Visualization, Neurostimulation, Neurotechnology, Human Computer Interaction
About This Topic
Neurotechnology includes technology used to perform neural activity readings to control external devices to repair or normalize function affected by neurological disorders or augmenting cognitive abilities with technologies that increase the possibility of amplifying the senses and mental capacities of an individual. In addition to therapeutic applications, neurotechnology has applications in computing for brain-computer interfaces and research tools to advance fundamental neuroscience knowledge.
Some examples of neurotechnologies include but are not limited to deep brain stimulation, Electroencephalography, implants, transcranial magnetic stimulation, brain–computer interfaces, game development, artificial vision, machine learning, deep learning, natural language processing and brain wave entrainment with binaural beats.
Publication
Low-Frequency Oscillations for Nonlocal Neuronal Coupling in Shared Intentionality Before and After Birth: Toward the Origin of PerceptionAbstract The theoretical study observes literature to understand whether or not low-frequency oscillations can simultaneously alter the excitability of neurons from peripheral nervous subsystems in different individuals to provide Shared Intentionality in recipients (e.g., [...] |
A New Computer-Aided Method for Assessing Children's Cognition in Bioengineering Systems for Diagnosing Developmental DelayAbstract This pilot study (n = 19) examines fidelity rates of the new computer-aided method of diagnosing cognitive development delay in 3-to-6-year-old children. The small-scale research repeats the methodological components of the previous two studies, only changing the data collection process by introducing the baseline value (BV). Exper [...] |
Rethinking Driving Assessment: A Hypothesis-Driven Proposal for Cognitive EvaluationAbstract Driving is a critical aspect of personal mobility and autonomy, but ensuring road safety requires a comprehensive evaluation of driving abilities beyond self-reported behaviors and practical skills. This article emphasizes the importance of cognitive assessment in determining fitness to drive and explores the potential benefits of using digita [...] |
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