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Transient chaos and periodic structures in a model of neuronal early afterdepolarization.
Chaos
January 2025
Departamento de Física, Universidade Federal de Santa Catarina, Florianópolis 88040-900, Santa Catarina, Brazil.
The presence of chaos is ubiquitous in mathematical models of neuroscience. In experimental neural systems, chaos was convincingly demonstrated in membranes, neurons, and small networks. However, its effects on the brain have long been debated.
View Article and Find Full Text PDFDigital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals.
BMC Med Inform Decis Mak
January 2025
Department of Nutritional and Metabolic Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Fangcun Mingxin Road, Liwan District, Guangzhou, 510370, China.
Background: The practical application of infectious disease emergency plans in mental health institutions during the ongoing pandemic has revealed significant shortcomings. These manifest as chaotic management of mental health care, a lack of hospital infection prevention and control (IPC) knowledge among medical staff, and unskilled practical operation. These factors result in suboptimal decision-making and emergency response execution.
View Article and Find Full Text PDFChaotic recurrent neural networks for brain modelling: A review.
Neural Netw
December 2024
Institute of Cognitive Sciences and Technology, National Research Council, Via Romagnosi 18a, I-00196, Rome, Italy.
Even in the absence of external stimuli, the brain is spontaneously active. Indeed, most cortical activity is internally generated by recurrence. Both theoretical and experimental studies suggest that chaotic dynamics characterize this spontaneous activity.
View Article and Find Full Text PDFComputational modeling of attractor-based neural processes involved in the preparation of voluntary actions.
Cogn Neurodyn
December 2024
Department of Energy and Technology, SLU, P.O. Box 7032, 75007 Uppsala, Sweden.
Volition is conceived as a set of orchestrated executive functions, which can be characterized by features, such as reason-based and goal-directedness, driven by endogenous signals. The lateral prefrontal cortex (LPFC) has long been considered to be responsible for cognitive control and executive function, and its neurodynamics appears to be central to goal-directed cognition. In order to address both associative processes (i.
View Article and Find Full Text PDFAdvancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches.
PeerJ Comput Sci
November 2024
School of Computer Science and Engineering, VIT-AP University, Amaravati, Guntur, Andhra Pradesh, India.
Article Synopsis
- Brain tumors develop from abnormal brain cells, often detected through MRI scans, but existing classification methods are time-consuming and inaccurate.
- This research presents a new deep learning framework (ERSACA-Net) that enhances brain tumor classification by using advanced feature extraction and optimization techniques to improve diagnosis and treatment planning.
- A novel approach called LWIFCM_CSA is introduced, integrating advanced clustering algorithms and generative adversarial networks to address class imbalance and significantly improve accuracy in brain tumor classification.
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