Cross nearest-spike interval based method to measure synchrony dynamics by Aldana M. González Montoro, Ricardo Cao, Christel Faes, Geert Molenberghs, Nelson Espinosa, Javier Cudeiro, Jorge Mariño

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A network analysis of postpartum depression and mother-to-infant bonding shows common and unique symptom-level connections across three postpartum periods by Norihiro Harasawa, Chong Chen, Sumiyo Okawa, Ryo Okubo, Toshio Matsubara, Shin Nakagawa, Takahiro Tabuchi

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The interplay of uncertainty, relevance and learning influences auditory categorization by Janaki Sheth, Jared S. Collina, Eugenio Piasini, Konrad P. Kording, Yale E. Cohen, Maria N. Geffen

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Mediational Model of Multiple Sclerosis Impairments, Family Needs, and Caregiver Mental Health in Guadalajara, Mexico by Melody N. Mickens, Paul B. Perrin, Adriana Aguayo, Brenda Rabago, Miguel A. Macías-Islas, Juan Carlos Arango-Lasprilla

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Synchronous citizen science with dogs by Madeline H. Pelgrim, Zachary Tidd, Molly Byrne, Angie M. Johnston, Daphna Buchsbaum

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Anodal tDCS over Primary Motor Cortex Provides No Advantage to Learning Motor Sequences via Observation by Dace Apšvalka, Richard Ramsey, Emily S. Cross

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Unique Case Report of a Meningeal Sarcoma Arising during Ongoing Treatment for Progressing Intraparenchymal Glioma by Richard A. Peterson, Bhavani Kashyap, Pamala A. Pawloski, Anna C. Forsberg, Leah R. Hanson

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The Effects of Exercise on Cognitive Recovery after Acquired Brain Injury in Animal Models: A Systematic Review by Elise Wogensen, Hana Malá, Jesper Mogensen

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GLOBAL ACADEMIC TRENDS OF METABOLIC AND ELECTRICAL BIOMEDICAL TOOLS IN MARKETING by Ahmed H. Alsharif, Salmi Mohd Isa, Lina Pilelienė

“…The journal Frontiers in Human Neuroscience is identified as the most productive, with 11 papers published. …”
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DeepReducer: A linear transformer-based model for MEG denoising by Hui Xu, Li Zheng, Pan Liao, Bingjiang Lyu, Jia-Hong Gao

“…Measuring event-related magnetic fields (ERFs) in magnetoencephalography (MEG) is crucial for investigating perceptual and cognitive information processing in both neuroscience research and clinical practice. However, the magnitude of the ERF in cortical sources is comparable to the noise in a single trial. …”
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Preface by Susanne Ditlevsen, Petr Lansky

“…This Special Issue of Mathematical Biosciences and Engineeringcontains ten selected papers presented at the Neural Coding 2012workshop. Neuroscience is traditionally very close to mathematicswhich stems from the famous theoretical work of McCulloch--Pitts andHodgkin--Huxley in the middle of the previous century. …”
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Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings by Keivan Rahmani, Yang Yang, Ethan Paul Foster, Ching-Ting Tsai, Dhivya Pushpa Meganathan, Diego D. Alvarez, Aayush Gupta, Bianxiao Cui, Francesca Santoro, Brenda L. Bloodgood, Rose Yu, Csaba Forro, Zeinab Jahed

“…Abstract Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells’ electrical properties. …”
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LSVT LOUD and LSVT BIG: Behavioral Treatment Programs for Speech and Body Movement in Parkinson Disease by Cynthia Fox, Georg Ebersbach, Lorraine Ramig, Shimon Sapir

“…Recent advances in neuroscience have suggested that exercise-based behavioral treatments may improve function and possibly slow progression of motor symptoms in individuals with Parkinson disease (PD). …”
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Body Percussion: Active and inclusive teaching oriented to disciplinary knowledge and transversal skills by Antinea Ambretti, Mariapia Mazzella, Wouter Cools

“…Moreover, the point of view of neuroscience has further strengthened the integration of dualism mind-body according to the unifying perspective of corporeity; in this sense, some research evidence has in fact shown that you learn first and better through the body and movement, as well as through the experience and intentionality that guide the learning itself. …”
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Robotic Vision with the Conformal Camera: Modeling Perisaccadic Perception by Jacek Turski

“…Here, the related neuroscience background is presented, effectiveness of the conformal camera's non-Euclidean geometry in intermediate-level vision is discussed, and the algorithmic steps in modeling perisaccadic perception with PFT are proposed. …”
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Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions by Hamed Mohammadi, Waldemar Karwowski

“…Addressing these limitations through enhanced interpretability, optimized multimodal techniques, and expanded labeled datasets is crucial to fully harness the potential of GNNs for neuroscience research and clinical applications.…”
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Intervention Models in Functional Connectivity Identification Applied to fMRI by João Ricardo Sato, Daniel Yasumasa Takahashi, Ellison Fernando Cardoso, Maria da Graça Morais Martin, Edson Amaro Júnior, Pedro Alberto Morettin

“…Recent advances in neuroimaging techniques have provided precise spatial localization of brain activation applied in several neuroscience subareas. The development of functional magnetic resonance imaging (fMRI), based on the BOLD signal, is one of the most popular techniques related to the detection of neuronal activation. …”
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Neural plasticity in early potters: Shape analysis and TMS-EEG co-registration trace the rise of a new motor skill. by Vanessa Forte, Luisa Sartori, Antonino Visalli, Mustafa Yildirim, Gaspare Galati, Massimo Vidale, Emanuela Faresin, Antonino Vallesi

“…Archaeological methods were integrated with neuroscience techniques to explore the impact on neuroplasticity resulting from the introduction of early pottery techniques. …”
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Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks by Amaury Vanvinckenroye, Gilles Vandewalle, Christophe Phillips, Sarah L. Chellappa

“…A key limitation of human neuroscience is the difficulty in isolating neuronal excitation/inhibition drive in vivo. …”
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Studying Cortical Plasticity in Ophthalmic and Neurological Disorders: From Stimulus-Driven to Cortical Circuitry Modeling Approaches by Joana Carvalho, Remco J. Renken, Frans W. Cornelissen

“…Unsolved questions in computational visual neuroscience research are whether and how neurons and their connecting cortical networks can adapt when normal vision is compromised by a neurodevelopmental disorder or damage to the visual system. …”
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