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.
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).
Neuroscience and Information Technology
Submission Deadline: May 31, 2022 (Open) Submit Now
Raul Valverde, PhD PEng
Senior Lecturer, John Molson School of Business, Concordia University, Montreal, Canada
Research Interests: Supply Chain; Information Systems; Consciousness; Neuroeconomics; NeuroIS
About This Topic
Neuroinformatics stands at the intersection of neuroscience and information science. It can provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroinformatics puts emphasis on data structure and software tools related to analysis, modeling, integration, and sharing in all areas of neuroscience research this includes theory and methodology, ontologies, modeling approaches, database design, software tools, and of the methods for their distribution; relevant experimental results; computational simulations of models integrating and organizing complex data.
Neuroinformatics addresses topics such as Brain Decease Diagnosis Databases, Computational Genomics, Machine Learning for Medical Diagnosis, Neuropsychology software applications, Computational Neuroscience, Cognitive NeuroInformatics, Big data in Medical Applications among other topics.
Neuro-Information-Systems relies on neuroscience and neurophysiological knowledge and tools to better understand the development, use, and impact of information and communication technologies. Neuro-Information Systems assists the development of new theories that make possible accurate predictions of IS-related behaviors, and the design of information systems that positively affect economic and non-economic variables (e.g., productivity, satisfaction, adoption, well being). Neuro-Information-Systems uses Neuroscience in the study of information systems, investigate the neuro-physiological effects related to the design, use, and impact of information systems and includes the human behavior at the underlying neuro-physiological level by using neurophysiological tools (e.g., fMRI, PET, EEG, MEG, and eye tracking).
Neuro-Information Systems address the following topics, among others: employment of neuroscience and neurophysiological methods and tools to study technology adoption, virtual reality, technology stress, Web site design, virtual worlds, human–computer interaction, social networks, information behavior, trust, usability, multitasking, memory and attention.
In this special edition, we invite submissions that show new view, conception, inventive and original approaches related to Neuroinformatics and Neuro-Information Systems. Original research reports, review articles, communications, and perspectives are welcome in all areas pertinent to this topic. All accepted papers will be published free of charge.
Received: 28 August 2022; Published: 01 February 2023; doi: 10.21926/obm.neurobiol.2301152
Moisl [1, 2] proposed a model of how the brain implements intrinsic intentionality with respect to lexical and sentence meaning, where 'intrinsic' is understood as 'independent of interpretation by observers external to the cognitive agent'. The discussion in both was mainly philosophical and qualitative; the present paper gives a mathematical [...]
Challenges and Problems on Self-directed Learning Readiness in Non–face-to-face Educational Settings During COVID-19
Received: 15 June 2022; Published: 08 October 2022; doi: 10.21926/obm.neurobiol.2204141
This study aimed to verify whether self-directed learning readiness (SDLR) level can be significantly predicted by the literacy of learning management system (LLMS), motivation, and feedback interaction (FI) in non–face-to-face educational settings. We performed Pearson’s correl [...]
Human Attention Assessment Using A Machine Learning Approach with GAN-based Data Augmentation Technique Trained Using a Custom Dataset
by Sveva Pepe , Simone Tedeschi , Nicolo' Brandizzi , Samuele Russo , Luca Iocchi and Christian Napoli
Received: 27 May 2022; Published: 04 October 2022; doi: 10.21926/obm.neurobiol.2204139
Human–robot interactions require the ability of the system to determine if the user is paying attention. However, to train such systems, massive amounts of data are required. In this study, we addressed the issue of data scarcity by constructing a large dataset (containing ~120,000 photographs) for the attention detection task. Then, by [...]
A Clinical Validity-Preserving Machine Learning Approach for Behavioral Assessment of Autism Spectrum Disorder
Received: 31 May 2022; Published: 30 September 2022; doi: 10.21926/obm.neurobiol.2203138
Autism spectrum disorder (ASD) is a neuropsychiatric disorder associated with critical challenges related to social, communication, and behavioral issues. Recent studies have proposed machine learning (ML) techniques for rapid and accurate assessment of ASD. However, the mismatch between the ML techniques and the clinical basis of ASD assessme [...]
by Sergey Udovichenko , Alexander Pisarev , Alexander Busygin , Abdulla Ebrahim , Andrey Bobylev and Alexey Gubin
Received: 14 June 2022; Published: 22 September 2022; doi: 10.21926/obm.neurobiol.2203134
In the present study, we present the results of the modeling of incoming information processing in a neuroprocessor that implements a biomorphic spiking neural network with numerous neurons and trainable synaptic connections between them. Physico-mathematical models of processes of encoding information into biomorphic pulses and their decoding [...]
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