Titlebook: Quantitative Neuroscience; Models, Algorithms, P. M. Pardalos,J. C. Sackellares,L. D. Iasemidis Book 2004 Springer Science+Business Media

迅速飛過

On a New Quantization in Complex Systems,s of structures in complex systems and challenged because the laws of the brain probably still far away from our knowledge. In this context the paper suggests to seek the answers within an irreducible description of complex systems. A special type of processes, the formations of integer relations, i

昏迷狀態(tài)

玷污

engagement

Controlling Neurological Disease at the Edge of Instability,evices are able to exploit the properties of intrinsic neural control mechanisms, the more effective they will be in re-establishing control in the setting of disease. Noise and time delays are ubiquitous features of the nervous system. Three observations suggest that in order to understand control

Dorsal

palliate

Epileptic Seizure Detection Using Dynamical Preprocessing (STLmax),rofiles also show short-term patterns characterizing seizures that can be used for detection purposes. In this paper, we explore two such properties shown by the STL. data during seizures and develop and compare automatic seizure detection algorithms on over 1,000 hours of data.

mettlesome

Role of the Dorsocentral Striatum in Contralateral Neglect and Recovery from Neglect in Rats,o the side contralateral to a brain lesion, in the absence of a primary sensory or motor dysfunction. Some manifestation of neglect is found in approximately 40% of all cases of brain damage, although more frequently following right hemisphere damage. The vast majority (80–90%) of all cases of negle

arsenal

疼死我了

Spatiotemporal Transitions in Temporal Lobe Epilepsy,amical interactions among many regions of the brain. The most common type of epilepsy in adults is temporal lobe epilepsy. Employment of nonlinear dynamics techniques, based on the chaos theory, led us to the hypotheses that (1) seizures are a transition from spatiotemporal chaos to a more ordered i

向外才掩飾

Nonlinear Dynamical and Statistical Approaches to Investigate State Transitions before Epileptic Seased on the theory of nonlinear dynamics and statistics, led us to hypothesize that the dynamical entrainment (i.e., their dynamical measures are gradually convergent in time) among the critical cortical brain sites can be used to anticipate an impending seizure [10, 17]. In this chapter, we present