Titlebook: Neurodynamics; An Applied Mathemati Stephen Coombes,Kyle C. A. Wedgwood Textbook 2023 The Editor(s) (if applicable) and The Author(s), unde

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Stephen Coombes,Kyle C. A. Wedgwoodnocturnal activity of astrocytes further binds the SCN circuit together to create stable and precise daily times that are conveyed by SCN neural outputs to various targets, local to the hypothalamus and also in the brain stem. In this way, they co-ordinate daily cycles of behaviour and physiology. T

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Stephen Coombes,Kyle C. A. Wedgwoodleep and clock? interlink in health and longevity; sleep, aging and longevity; clock, aging and longevity; melatonin, sleep and clock; genetic regulation of sleep and clock; therapeutic interventions in sleep disorders and clock misalignment; and experimental models to study sleep and clocks in agin

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Stephen Coombes,Kyle C. A. Wedgwoodase (PD), cancer, inflammatory bowel disease (IBD). It is therefore very important to understand link between sleep and circadian rhythms. Sleep is a period essential for growth, differentiation and renewal of cells, the downscaling of synapses linked to learning and memory built up during wakefulne

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Single neuron models,electrical activity in nervous tissue began a centuries long fascination with the origin and purpose of this behaviour, and motivated the initial design of the battery by Volta. Half a century later, du Bois-Reymond demonstrated that these pulses follow a prototypical temporal pattern, now referred

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Axons, dendrites, and synapses,e everywhere. However, the classical notion of a neuron is of a specialised cell with a body, an axon, and dendrites [802]. The cell body or soma, contains the nucleus and cytoplasm, the axon extends from the soma and ultimately branches before ending at nerve terminals, and dendrites are branched s

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Weakly coupled oscillator networks, presented the key building blocks required to construct networks composed of either single neurons, or of spatially localised neural populations. The remaining chapters focus on modelling and analysing such neural networks, taking into consideration how neurons communicate with one another.

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Strongly coupled spiking networks,For networks of spiking networks, the assumption of weak interactions allows us to reduce the full network model down to one that describes each neuron by its phase along an underlying spiking orbit. In this way, the dynamics for the system are considered only on a reduced phase space given by the C

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