کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406498 678088 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hierarchical random cellular neural networks for system-level brain-like signal processing
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Hierarchical random cellular neural networks for system-level brain-like signal processing
چکیده انگلیسی

Sensory information processing and cognition in brains are modeled using dynamic systems theory. The brain’s dynamic state is described by a trajectory evolving in a high-dimensional state space. We introduce a hierarchy of random cellular automata as the mathematical tools to describe the spatio-temporal dynamics of the cortex. The corresponding brain model is called neuropercolation which has distinct advantages compared to traditional models using differential equations, especially in describing spatio-temporal discontinuities in the form of phase transitions. Phase transitions demarcate singularities in brain operations at critical conditions, which are viewed as hallmarks of higher cognition and awareness experience. The introduced Monte-Carlo simulations obtained by parallel computing point to the importance of computer implementations using very large-scale integration (VLSI) and analog platforms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 45, September 2013, Pages 101–110
نویسندگان
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