EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published
This submission belongs to the session 03. USEDAT-01: USA-Europe Data Analysis Training Congress, Cambridge, UK-Bilbao, Spain-Miami, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
04 Dec, 2015
Citation
Lucas A Pastur-Romay, Francisco A Cedrón, Alejandro Pazos, Ana B Porto-Pazos, Computational Models of the Brain, in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-e009
Share
Email
Facebook
Twitter
LinkedIn

Computational Models of the Brain

image
1. Department of Information and Communications Technologies, University of A Coruña, A Coruña, 15071, Spain
2. Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), A Coruña, 15006, Spain
Abstract

Different research projects around the world are trying to emulate the human brain. They employ diverse types of computational models: digital models, analog models and hybrid models. This communication includes a summary of some main projects, as well as future trends in this subject. It is focused on various works that look for advanced progress in Neuroscience and still others which seek new discoveries in Computer Science (neuromorphic hardware, machine learning techniques). In addition, given the proven importance of glial cells in information processing, the importance of considering astrocytes into the brain computational models is pointed out.

Keywords
brain emulation
neuromorphic chip
neuron-astrocyte computational models
brain computational models
Manuscript
Microwave Activated Synthesis of Benzalacetones and Study of Their Potential Antioxidant Activity Using Artificial Neural Networks Method
Fragment-based approach for affinity and selectivity for dUTPase: Insights for design of new anti-malarial agents