دورية أكاديمية

Nano-Modeling and Computation in Bio and Brain Dynamics

التفاصيل البيبلوغرافية
العنوان: Nano-Modeling and Computation in Bio and Brain Dynamics
المؤلفون: Paolo Di Sia, Ignazio Licata
المصدر: Bioengineering, Vol 3, Iss 2, p 11 (2016)
بيانات النشر: MDPI AG, 2016.
سنة النشر: 2016
المجموعة: LCC:Technology
LCC:Biology (General)
مصطلحات موضوعية: neuro-nanoscience, cognitive science, bioengineering, brain, carrier transport, theoretical modeling, neural geometry, memristor, electrical circuits, Technology, Biology (General), QH301-705.5
الوصف: The study of brain dynamics currently utilizes the new features of nanobiotechnology and bioengineering. New geometric and analytical approaches appear very promising in all scientific areas, particularly in the study of brain processes. Efforts to engage in deep comprehension lead to a change in the inner brain parameters, in order to mimic the external transformation by the proper use of sensors and effectors. This paper highlights some crossing research areas of natural computing, nanotechnology, and brain modeling and considers two interesting theoretical approaches related to brain dynamics: (a) the memory in neural network, not as a passive element for storing information, but integrated in the neural parameters as synaptic conductances; and (b) a new transport model based on analytical expressions of the most important transport parameters, which works from sub-pico-level to macro-level, able both to understand existing data and to give new predictions. Complex biological systems are highly dependent on the context, which suggests a “more nature-oriented” computational philosophy.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2306-5354
Relation: http://www.mdpi.com/2306-5354/3/2/11; https://doaj.org/toc/2306-5354
DOI: 10.3390/bioengineering3020011
URL الوصول: https://doaj.org/article/21cf15ccbb6b4c649876b16a5303b9c2
رقم الأكسشن: edsdoj.21cf15ccbb6b4c649876b16a5303b9c2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23065354
DOI:10.3390/bioengineering3020011