Review
Neurosciences
Ludovic Spaeth, Philippe Isope
Summary: The cerebellum is associated with fine motor control, motor learning, and timing of actions. Despite its well-described anatomy and identified synaptic plasticity, the computation performed by the cerebellar cortex is still debated. Recent advances suggest that the cerebellum stores internal models of body coordinates, specific to the task and locomotor context of each individual.
Article
Neurosciences
Adriana Boettcher, Saskia Wilken, Nico Adelhoefer, Markus Raab, Sven Hoffmann, Christian Beste
Summary: Sensorimotor integration is a crucial process in daily life, involving the integration of different sensory information. The role of theta- and beta-band activities in this process and the neuroanatomical structures involved were examined. The study found that beta-band activity in parietal cortices plays a role in the initial specification of indicator dynamics. When information about the goal was not accessible, higher theta-band activity in the superior frontal cortex was observed, indicating an increased need for control. Later, theta- and beta-band activities encoded different information within the ventral processing stream. Complex sensorimotor integration is achieved through a cascade of theta- and beta-band activities in a ventral-stream-parieto-frontal network.
Article
Multidisciplinary Sciences
Edward F. Ester, Asal Nouri
Summary: External attention is mediated by the competition between endogenous and exogenous factors, determining the selection of stimuli. This study investigates how the competition between these factors influences the selection of internal representations using high temporal resolution of human EEG. The results show that unlike external attention, the competition does not lead to the selection of task-irrelevant working memory content but delays the selection of task-relevant working memory content.
Review
Neurosciences
Martha L. Streng, Laurentiu S. Popa, Timothy J. Ebner
Summary: After decades of research, a comprehensive understanding of cerebellar function remains elusive. New findings suggest that the simple spike discharge of Purkinje cells carries robust predictive and feedback signals of performance errors and kinematics, consistent with a forward internal model. The hypothesis is proposed that complex spikes convey behavioral state changes, possibly acting to select and maintain forward models.
Article
Audiology & Speech-Language Pathology
Wenjia Zhang, Fuyin Yang, Xing Tian
Summary: This study investigates the relationship between motor signals and auditory predictions during speech production and proposes a cascaded process in the internal forward models. The results show that the connectivity between somatosensory and auditory estimations can be modulated by speech tasks.
BRAIN AND LANGUAGE
(2023)
Review
Behavioral Sciences
Joshua Gold, Joseph Ciorciari
Summary: This paper synthesizes a new neurocognitive model of flow based on two primary competing neurocognitive theories, aiming to provide a platform for researchers to use as a future reference and for hypothesis generation.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Thermodynamics
Elias Martinez-Hernandez, Citlalli Zenteno, Diego Valencia, Jorge Aburto
Summary: This paper introduces a new viscosity prediction model based on artificial neural networks and community detection algorithms. By utilizing molecular graphs and modularity, this approach improves prediction performance and demonstrates excellent predictions for molecules derived from biomass.
FLUID PHASE EQUILIBRIA
(2023)
Article
Ecology
Edwin Hui, Richard Stafford, Iain M. Matthews, V. Anne Smith
Summary: In today's world, understanding and predicting the response of ecosystems to disturbance is crucial. Bayesian networks have the potential to recover species interaction networks and improve the interpretability and predictive power of ecological models.
ECOLOGICAL INFORMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Antonio Gusmao, Ricardo Povoa, Nuno Horta, Nuno Lourenco, Ricardo Martins
Summary: Automatic analog integrated circuit layout design has been a popular research topic, with the promise of machine learning applications changing this reality. This paper introduces a deep learning generative model for optimizing placement of analog integrated circuit basic blocks, which can provide instant solutions and handle unlabeled data. By shuffling the order of features in the input vector, the model not only introduces multi-modality but also solves generalization issues.
APPLIED SOFT COMPUTING
(2022)
Article
Biophysics
Kirsten Veerkamp, Hans Kainz, Bryce A. Killen, Hulda Jonasdottir, Marjolein M. van der Krogt
Summary: The study developed an automated tool to create OpenSim models with subject-specific tibial torsion and femoral NSA and AVA, showing improved accuracy in femur geometries compared to generic models, especially for participants with higher NSA and AVA deviations. The tool provides a fast and user-friendly way to personalize femoral and tibial geometry in musculoskeletal models.
JOURNAL OF BIOMECHANICS
(2021)
Article
Clinical Neurology
Shannon B. Lim, Chieh-ling Yang, Sue Peters, Teresa Liu-Ambrose, Lara A. Boyd, Janice J. Eng
Summary: This study utilized fNIRS to measure the hemodynamic characteristics during walking in individuals who had experienced a stroke. The results showed sustained activation in the pre-frontal cortex, with greater activation in the ipsilesional hemisphere compared to the contralesional side. The sensorimotor cortex was active during the early stage of walking, while the posterior parietal cortex showed changes in activation during the later stage. Faster gait speeds were associated with increased activation in the contralesional sensorimotor and posterior parietal cortices. Exploratory analysis revealed two distinct groups based on their brain activation profiles, with individuals showing greater activation generally having better physical outcomes.
FRONTIERS IN NEUROLOGY
(2022)
Article
Neurosciences
Rui Xu, Narcisse P. Bichot, Atsushi Takahashi, Robert Desimone
Summary: This study reveals the connectivity between the lateral prefrontal cortex (LPFC) and the rest of the cortex. The results show isomorphic mappings between LPFC and other major processing domains, suggesting LPFC's role in coordinating activity within and across these domains.
Article
Anesthesiology
Angelica Sandstrom, Isabel Ellerbrock, Monika Lofgren, Reem Altawil, Indre Bileviciute-Ljungar, Jon Lampa, Eva Kosek
Summary: This study used functional magnetic resonance imaging to compare pain processing between patients with fibromyalgia (FM, nociplastic pain) and rheumatoid arthritis (RA, nociceptive pain). The results showed that FM patients had increased brain activation during painful stimulation compared to RA patients, while RA patients showed increased functional connectivity. Furthermore, within the FM group, anxiety scores were positively correlated with pain-related brain activation.
Article
Neurosciences
J. Eric Schmitt, John J. DeBevits, David R. Roalf, Kosha Ruparel, R. Sean Gallagher, Ruben C. Gur, Aaron Alexander-Bloch, Tae-Yeon Eom, Shahinur Alam, Jeffrey Steinberg, Walter Akers, Khaled Khairy, T. Blaine Crowley, Beverly Emanuel, Stanislav S. Zakharenko, Donna M. McDonald-McGinn, Raquel E. Gur
Summary: The presence of a 22q11.2 microdeletion (22q11.2 deletion syndrome [22q11DS]) is a significant genetic risk factor for psychotic disorders. The cerebellum is implicated in the pathophysiology of psychosis, but there is limited information on cerebellar neuroanatomy in 22q11DS specifically.
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING
(2023)
Article
Behavioral Sciences
Barna Zajzon, Renato Duarte, Abigail Morrison
Summary: In order to understand sequential processing in cortical circuits, it is crucial that sequence learning models are accessible, reproducible, and quantitatively comparable. We conducted a thorough investigation of a proposed sequence learning model, replicating the main findings and analyzing its robustness and limitations. We also suggested possible solutions and demonstrated the model's retention of core functionality under more biologically-plausible constraints.
FRONTIERS IN INTEGRATIVE NEUROSCIENCE
(2023)
Article
Neurosciences
Chang Cai, Kenji Ogawa, Takanori Kochiyama, Hirokazu Tanaka, Hiroshi Imamizu
Article
Multidisciplinary Sciences
Shu Imaizumi, Tomohisa Asai, Kentaro Hiromitsu, Hiroshi Imamizu
Article
Multidisciplinary Sciences
Shunta Togo, Toshinori Yoshioka, Hiroshi Imamizu
SCIENTIFIC REPORTS
(2017)
Article
Biology
Masahiro Yamashita, Yujiro Yoshihara, Ryuichiro Hashimoto, Noriaki Yahata, Naho Ichikawa, Yuki Sakai, Takashi Yamada, Noriko Matsukawa, Go Okada, Saori C. Tanaka, Kiyoto Kasai, Nobumasa Kato, Yasumasa Okamoto, Ben Seymour, Hidehiko Takahashi, Mitsuo Kawato, Hiroshi Imamizu
Article
Multidisciplinary Sciences
Shunta Togo, Takashi Itahashi, Ryuichiro Hashimoto, Chang Cai, Chieko Kanai, Nobumasa Kato, Hiroshi Imamizu
SCIENTIFIC REPORTS
(2019)
Article
Biochemistry & Molecular Biology
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Hirotaka Yamagata, Koji Matsuo, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, Jun Morimoto, Jin Narumoto, Yasuhiro Shimada, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Saori C. Tanaka, Mitsuo Kawato, Okito Yamashita, Hiroshi Imamizu
Article
Neurosciences
Ryu Ohata, Tomohisa Asai, Hiroshi Kadota, Hiroaki Shigemasu, Kenji Ogawa, Hiroshi Imamizu
Article
Multidisciplinary Sciences
Shinya Chiyohara, Jun-ichiro Furukawa, Tomoyuki Noda, Jun Morimoto, Hiroshi Imamizu
SCIENTIFIC REPORTS
(2020)
Article
Multidisciplinary Sciences
Wen Wen, Hiroshi Shibata, Ryu Ohata, Atsushi Yamashita, Hajime Asama, Hiroshi Imamizu
Article
Biochemistry & Molecular Biology
Ayumu Yamashita, Yuki Sakai, Takashi Yamada, Noriaki Yahata, Akira Kunimatsu, Naohiro Okada, Takashi Itahashi, Ryuichiro Hashimoto, Hiroto Mizuta, Naho Ichikawa, Masahiro Takamura, Go Okada, Hirotaka Yamagata, Kenichiro Harada, Koji Matsuo, Saori C. Tanaka, Mitsuo Kawato, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Okito Yamashita, Hiroshi Imamizu
Article
Psychiatry
Ayumu Yamashita, Yuki Sakai, Takashi Yamada, Noriaki Yahata, Akira Kunimatsu, Naohiro Okada, Takashi Itahashi, Ryuichiro Hashimoto, Hiroto Mizuta, Naho Ichikawa, Masahiro Takamura, Go Okada, Hirotaka Yamagata, Kenichiro Harada, Koji Matsuo, Saori C. Tanaka, Mitsuo Kawato, Kiyoto Kasai, Nobumasa Kato, Hidehiko Takahashi, Yasumasa Okamoto, Okito Yamashita, Hiroshi Imamizu
Summary: Large-scale neuroimaging data is crucial for advancing neuroscientific understanding of psychiatric disorders like major depressive disorder (MDD). This study identified and validated resting-state functional connectivity related to depression symptoms, contributing to a deeper understanding of the neural circuitry of depressive symptoms in MDD.
FRONTIERS IN PSYCHIATRY
(2021)
Article
Psychology, Multidisciplinary
Shiro Yano, Yoshikatsu Hayashi, Yuki Murata, Hiroshi Imamizu, Takaki Maeda, Toshiyuki Kondo
FRONTIERS IN PSYCHOLOGY
(2020)
Article
Psychology, Experimental
Shu Imaizumi, Yoshihiko Tanno, Hiroshi Imamizu
CONSCIOUSNESS AND COGNITION
(2019)
Proceedings Paper
Computer Science, Cybernetics
Asuka Takai, Diletta Rivela, Giuseppe Lisi, Tomoyuki Noda, Tatsuya Teramae, Hiroshi Imamizu, Jun Morimoto
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
(2018)
Article
Neurosciences
Ayumu Yamashita, Shunsuke Hayasaka, Mitsuo Kawato, Hiroshi Imamizu