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.
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Rapid publication: manuscripts are undertaken in 11.8 days from acceptance to publication (median values for papers published in this journal in the second half of 2021, 1-2 days of FREE language polishing time is also included in this period).
Neurobiological Mechanisms of Understanding: Taking Stock of Recent Experimental Findings, Theoretical Ideas and Computational Models
Submission Deadline: August 31, 2023 (Open) Submit Now
Yan M. Yufik, PhD
Virtual Structures Research, Inc, United States
Research interests: artificial intelligence; biophysics; neuroscience; human understanding.
About This Topic
Understanding is a lens through which humans apprehend the world and themselves. All organisms can learn - that is, associate external conditions and own actions with the outcomes those actions obtain and subsequently make use of such associations when encountering familiar conditions. Understanding enables adequate responses to unfamiliar conditions, which involves constructing and exercising mental models to envision possible actions and their likely outcomes before commencing the activity. From the time of classical Greece, understanding capacity has been recognized as the defining feature of human intellect. However, mechanisms underlying the capacity have remained largely unknown. Breakthrough technical and theoretical advances in the last several decades, ranging from charting cellular-resolution connectivity maps of the nervous system to formulating global principles of brain operation, can shed light on the inner working of understanding. Computational modeling of cognitive architectures and processes can also provide new insights into the problem. This Special Issue invites assessing the state-of-affairs across the range of recent advances, focusing on the ideas and findings addressing neurobiological and biophysical underpinnings of understanding. Of particular interest will be contributions identifying converging results in bottom-up and top-down analyses across different research venues, and suggesting critical paths for further inquiries.
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