Search results
Results From The WOW.Com Content Network
Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematics, computer science, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.
There are three main directions where neuroinformatics has to be applied: [2] the development of computational models of the nervous system and neural processes; the development of tools for analyzing and modeling neuroscience data; and; the development of tools and databases for management and sharing of neuroscience data at all levels of ...
Studies of the nervous system may focus on the cellular level, as in studies of the ion channels, or instead may focus on a systemic level as in behavioural or cognitive studies. A significant portion of nervous system studies is devoted to understanding the diseases that affect the nervous system, like multiple sclerosis, Alzheimer's ...
For instance, because the mother-fetus interactions enable the child's nervous system to evolve with adequate biological sentience and provide first achievements in the cognitive development, [7] [8] studying the mother-fetus neurocognitive model paves the way to design noninvasive computer management by the brain [7] and medical devices for ...
Neurotechnology encompasses any method or electronic device which interfaces with the nervous system to monitor or modulate neural activity. [1] [2]Common design goals for neurotechnologies include using neural activity readings to control external devices such as neuroprosthetics, altering neural activity via neuromodulation to repair or normalize function affected by neurological disorders ...
Computational neuroscience includes both the study of the information processing functions of the nervous system, and the use of digital computers to study the nervous system. It is an interdisciplinary science that links the diverse fields of neuroscience, cognitive science and psychology, electrical engineering, computer science, physics and ...
Neuromorphic engineering is an interdisciplinary subject that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering [4] to design artificial neural systems, such as vision systems, head-eye systems, auditory processors, and autonomous robots, whose physical architecture and design principles are ...
Integrative neuroscience is the study of neuroscience that works to unify functional organization data to better understand complex structures and behaviors. [1] The relationship between structure and function, and how the regions and functions connect to each other.