D’Angelo, Egidio and Solinas, Sergio and Garrido, Jesus and Casellato, Claudia and Pedrocchi, Alessandra and Mapelli, Jonathan and Gandolfi, Daniela and Prestori, Francesca (2013) Realistic modeling of neurons and networks: towards brain simulation. Functional Neurology, 28 (3). pp. 153-166. ISSN 1971-3274
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Abstract
Realistic modeling is a new advanced methodology for investigating brain functions. Realistic modeling is based on a detailed biophysical description of neurons and synapses, which can be integrated into microcircuits. The latter can, in turn, be further integrated to form large-scale brain networks and eventually to reconstruct complex brain systems. Here we provide a review of the realistic simulation strategy and use the cerebellar network as an example. This network has been carefully investigated at molecular and cellular level and has been the object of intense theoretical investigation. The cerebellum is thought to lie at the core of the forward controller operations of the brain and to implement timing and sensory prediction functions. The cerebellum is well described and provides a challenging field in which one of the most advanced realistic microcircuit models has been generated. We illustrate how these models can be elaborated and embedded into robotic control systems to gain insight into how the cellular properties of cerebellar neurons emerge in integrated behaviors. Realistic network modeling opens up new perspectives for the investigation of brain pathologies and for the neurorobotic field.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | neuron models, computation, plasticity |
| Subjects: | 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) |
| Depositing User: | Marina Spanti |
| Date Deposited: | 17 Dec 2015 13:37 |
| Last Modified: | 17 Dec 2015 13:37 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/10890 |
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