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)

Current Issue: 2023  Archive: 2022 2021 2020 2019 2018 2017

Special Issue

Neurobiological Mechanisms of Understanding: Taking Stock of Recent Experimental Findings, Theoretical Ideas and Computational Models

Submission Deadline: August 31, 2023 (Open) Submit Now

Guest Editor

Yan M. Yufik, PhD

Virtual Structures Research, Inc, United States

Website | E-Mail

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.