INNS, formed in 1987 by the leading scientists in the neural network field, is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence.
Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.
Big data is a term that describes large volumes of data. it can be analyzed for insights that lead to better decisions and strategies.
Neural networks are a computational model used in machine learning, computer science and other research disciplines, which enables a computer to learn from observational data in a biologically-inspired programming paradigm.
Neural Physiology refers to the biology of neuronal function, including an understanding of the molecular and cellular processes that underlie neuronal activity.
Neuroanatomy is the study of the anatomy and stereotyped organization of nervous systems. In contrast to animals with radial symmetry, whose nervous system consists of a distributed network of cells, animals with bilateral symmetry have segregated, defined nervous systems.
Cognitive science is the interdisciplinary, scientific study of the mind and its processes. It examines the nature, the tasks, and the functions of cognition, with a focus on how nervous systems represent, process, and transform information.
Neuroscience is the scientific study of the nervous system. It is a multidisciplinary branch of biology, that deals with the anatomy, biochemistry, molecular biology, and physiology of neurons and neural circuits.