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Titlebook: Handbook of Computational Neurodegeneration; Panagiotis Vlamos,Ilias S. Kotsireas,Ioannis Tarna Reference work 2023 Springer Nature Switze

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Qi Duan,Andrew F. Laine,Jasjit S. Suriheir current evidence are summarized. With reference to ancient philosophical theories, the concept of cognition takes a central role in the interaction of a person with the external environment and the development of mental disturbances. The philosophical analogy in modern psychotherapy and cogniti
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Vivek S. Tayal,Michael Blaivas,Troy R Fosternetwork is a typical 2D square lattice neuronal arrangement, while in the perturbed case the connectivity on the 2D lattice is locally broken. A typical neuronal model, the leaky integrate-and-fire model, is employed with nonlocal connectivity on the lattice. Both cases of excitatory and inhibitory
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Neurodegenerative Disease Modeling: An Introductionmillions of individuals all over the world are currently affected by neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, amyotrophic lateral sclerosis, Huntington’s disease, and a wide variety of other conditions related to brain pathology. It is anticipa
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Computational Modeling of Neural Networks of the Human Brainecifically Alzheimer ‘s disease and mild cognitive impairment. Changes in functional connectivity as a feature of the neural networks of the human brain might precede alterations in structural connections in Alzheimer’s disease, hence the extensive research in the application of computational modeli
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Applications of Nanotechnology in Alzheimer’s Disease vulnerable brain regions. Till today, the available marked approved medicines still focus on controlling the symptoms and slowing down the disease progression, but unfortunately not curing it. The low drug bioavailability, due to low ability of crossing the blood–brain barrier (BBB), hinders the ef
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Nanoplatforms as Information Carriers and Thermodynamic Epitopes in Neurodegenerative and Immune Disea requires that new scientific and technological tools are established. . are among those that need to be given priority in the development of new medicines and the adoption of new therapeutic approaches. Thermodynamics and biophysics are impressive scientific tools that should be incorporated into
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Neuronal Encoding Modelscience research. A description of the models, which can predict and explain biomedical phenomena, is provided. This is also supported by experimental data. The mathematical models concern both single neurons and synapses. In addition, their main simplifications are also presented, which can help red
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