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Essentials of Cerebellum and Cerebellar Disorders
This monograph, now in its 2nd edition with 31 new chapters and significant updates, is the first book of its kind written specifically for graduate students and clinicians. The monograph is based on the 4-volume treatise, Handbook of the Cerebellum and Cerebellar Disorders (Springer, 2013; 2nd edition: 2022), the definitive reference for scientists and neurologists in the field of cerebellar neurobiology and related areas. There have been fundamental advances in the basic science and clinical neurology of the cerebellum and its role in sensorimotor function and cognition. Essentials of the Cerebellum and Cerebellar Disorders makes this large and expanding body of knowledge readily accessibl...
From Cell Physiology to Emerging Brain Functions
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Rebuilding cerebellar network computations from cellular neurophysiology
This Research Topic is centered around the attempt to understand network activity of the brain by combining experimental and modeling techniques. A surprisingly rich set of new observations is emerging about the functions of the olivo-cerebellar cortical modules. This Research Topic will consider the critical elements of new emerging knowledge achieved using in vitro and in vivo techniques and the computational attempts at functional circuit reconstruction.
Computational Modeling and Machine Learning Methods in Neurodevelopment and Neurodegeneration: from Basic Research to Clinical Applications
Computational models and machine-learning methods are increasingly valuable tools to shed light on the dynamics that govern information processing in the nervous system, as well as their disruption in pathological conditions. A variety of techniques has been used to understand how networks of neurons in the brain encode, elaborate and transmit information about the external world, and how this information influences decision-making and behavior. Structural and functional abnormalities in the above-mentioned networks can lead to a wide range of brain disorders. Recent advances in brain simulation and machine-learning techniques, together with progress in the neuroimaging field, have been essential for bridging the different spatial scales in the brain and uncovering the processes underlying cognitive, motor and behavioral impairment in neurodevelopmental and neurodegenerative disorders.
The olivo-cerebellar system
During the last decades, investigations on the olivo-cerebellar system have attained a high level of sophistication, which led to redefinitions of several structural and functional properties of neurons, synapses, connections and circuits. Research has expanded and deepened in so many directions and so many theories and models have been proposed that an ensemble review of the matter is now needed. Yet, hot topics remain open and scientific discussion is very lively at several fronts. One major question, here as well as in other major brain circuits, is how single neurons and synaptic properties emerge at the network level and contribute to behavioural regulation via neuronal plasticity. Othe...
Plasticity of GABAergic Synapses
Learning and memory are believed to depend on plastic changes of neuronal circuits due to activity-dependent potentiation or depression of specific synapses. During the last two decades, plasticity of brain circuits was hypothesized to mainly rely on the flexibility of glutamatergic excitatory synapses, whereas inhibitory synapses were assumed relatively invariant, to ensure stable and reliable control of the neuronal network. As a consequence, while considerable efforts were made to clarify the main mechanisms underlying plasticity at excitatory synapses, the study of the cellular/molecular mechanisms of inhibitory plasticity has received much less attention. Nevertheless, an increasing bod...
Building up the inhibitory synapse
Fast inhibitory transmission exerts a powerful control on neuronal excitability and network oscillations thought to be associated with high cognitive functions. An alteration of inhibitory signaling is associated with major neurological and psychiatric disorders including epilepsy. Once released from presynaptic nerve terminals, GABA and glycine cross the synaptic cleft and bind to postsynaptic receptors localized in precise apposition to presynaptic release sites. The functional organization of inhibitory synapses consists in a dynamic process which relies on a number of highly specialized proteins that ensure the correct targeting, clustering, stabilization and subsequent fate of synaptic ...
Applied Intelligence and Informatics
This book constitutes the refereed proceedings of the First International Conference on Applied Intelligence and Informatics, AII 2021, held in Nottingham, UK, in July 2021. Due to the COVID-19 pandemic the conference was held in a fully virtual mode. The 26 full papers and 4 short papers presented were thoroughly reviewed and selected from the total 107 submissions. They are organized in the following topical sections: application of AI and informatics in disease detection; application of AI and informatics in healthcare; application of AI and informatics in pattern recognition; application of AI and informatics in network, security, and analytics; emerging applications of AI and informatics.
