Для цитирования:
Нажесткин И. А., Сварник О. Е. Теория интегрированной информации и её применение к анализу нейронной активности головного мозга // Известия вузов. ПНД. 2023. Т. 31, вып. 2. С. 180-201. DOI: 10.18500/0869-6632-003033, EDN: JSTBXP
Теория интегрированной информации и её применение к анализу нейронной активности головного мозга
Цель настоящего обзора — рассмотреть возможность применения теории интегрированной информации к анализу нейронной активности головного мозга. Ранее было показано, что коэффициент интегрированной информации Ф отражает степень динамической сложности системы и способен предсказывать степень успешности её работы, определяемую классическими наблюдаемыми критериями. Исходя из этого, становится актуальным вопрос относительно применения теории интегрированной информации к анализу изменений в спайковой активности головного мозга в процессе приобретения нового опыта.
Заключение. Были рассмотрены основы теории интегрированной информации и её возможное применение в нейробиологии для исследования процесса приобретения нового опыта. Показано, что коэффициент интегрированной информации Ф является метрикой, способной оценить динамическую сложность нейронных сетей головного мозга, увеличивающуюся с приобретением опыта. Предложены методы, позволяющие на практике вычислить значение коэффициента Ф для данных нейронной активности.
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