|
ИСТИНА |
Войти в систему Регистрация |
Интеллектуальная Система Тематического Исследования НАукометрических данных |
||
Brain and cognitive information: from biological to artificial intelligenceтезисы доклада
- Автор: Anokhin Konstantin
- Сборник: 4th Korea-Russia Science Day
- Тезисы
- Год издания: 2020
- Место издания: Moscow, Russia
- Первая страница: 11
- Последняя страница: 13
- Аннотация: Classical computer systems are approaching their limits in data processing speeds, energyconsumption, reliability, and programmability. This creates a need for the development offundamentally new computer architectures and information technologies. According to thegrowing understanding, computer and artificial intelligence systems of a new generationwill be based on still underemployed principles of cognitive brain functions. To developsuch systems, it is necessary to solve the most important question of neuroscience - howthe brain encodes cognitive information.A new project recently started by the teams from the Lomonosov Moscow StateUniversity, Institute of the Higher Nervous Activity and Neurophysiology RAS andMarchuk Institute of Numerical Mathematics RAS addresses this problem. The project iscalled “Brain and Information: From Natural to Artificial Intelligence” and involves groupsin molecular genetics, biochemistry and cellular biology, neurobiology and neurophysiology,neurophotonics, laser spectroscopy and neuromorphic photonics, numerical mathematics andartificial intelligence.The goal of the project is to develop new methods for the study of cognitive informationin biological systems, to investigate mechanisms of its generation in biological neuralnetworks, to develop a theory of cognitive information, and to establish prerequisites forimplementing cognition in neuromorphic artificial systems.The project will address the following main questions: What is the nature of cognitiveinformation in the brain? What is the minimal unit - a bit of cognitive information in theneuronal network? How is it acquired by the brain and allocated into the particularneuronal network? How cognitive information is stored in individual neurons and retrievedfrom memory? How can it be measured quantitively in the brain? How can it be it beimplemented in artificial neuromorphic systems?artificial intelligence systems of a new generationwill be based on still underemployed principles of cognitive brain functions. To developsuch systems, it is necessary to solve the most important question of neuroscience - howthe brain encodes cognitive information.A new project recently started by the teams from the Lomonosov Moscow StateUniversity, Institute of the Higher Nervous Activity and Neurophysiology RAS andMarchuk Institute of Numerical Mathematics RAS addresses this problem. The project iscalled “Brain and Information: From Natural to Artificial Intelligence” and involves groupsin molecular genetics, biochemistry and cellular biology, neurobiology and neurophysiology,neurophotonics, laser spectroscopy and neuromorphic photonics, numerical mathematics andartificial intelligence.The goal of the project is to develop new methods for the study of cognitive informationin biological systems, to investigate mechanisms of its generation in biological neuralnetworks, to develop a theory of cognitive information, and to establish prerequisites forimplementing cognition in neuromorphic artificial systems.The project will address the following main questions: What is the nature of cognitiveinformation in the brain? What is the minimal unit - a bit of cognitive information in theneuronal network? How is it acquired by the brain and allocated into the particularneuronal network? How cognitive information is stored in individual neurons and retrievedfrom memory? How can it be measured quantitively in the brain? How can it be it beimplemented in artificial neuromorphic systems?
- Добавил в систему: Анохин Константин Владимирович