This book includes papers from the second year of the prestigious First International Early Research Career Enhancement School (FIERCES) series: a successful, new format that puts a school in direct connection with a conference and a social program, all dedicated to young scientists. Reflecting the friendly, social atmosphere of excitement and opportunity, the papers represent a good mixture of cutting-edge research focused on advances towards the most inspiring challenges of our time and first ambitious attempts at major challenges by as yet unknown, talented young scientists. In this second year of FIERCES, the BICA Challenge (to replicate all the essential aspects of the human mind in the digital environment) meets the Cybersecurity Challenge (to protect all the essential assets of the human mind in the digital environment), which is equally important in our age. As a result, the book fosters lively discussions on today’s hot topics in science and technology, and stimulates the emergence of new cross-disciplinary, cross-generation and cross-cultural collaboration. FIERCES 2017, or the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures and Cybersecurity, was held on August 1–5 at the Baltschug Kempinski in Moscow, Russia.
Reports on biologically inspired approaches to replicate human mind function
Includes contributions from experts and young scientists alike
Bridges together artificial intelligence, cognitive, neuro and social sciences with cybersecurity
Includes relevant trends in smart materials, big data, deep learning and social media
Alexei V. Samsonovich
Autonomous Cognitive Agents Social Engineering Attacks Spiking Neural Networks Computer Model Of Learning Unsupervised Neural Architecture Visual Analytics Methods Attractor-Network Models Place Cell Firing Patterns Genetic Algorithm For Factor Selections Emotional Colors Semantic Cognitive Maps fMRI and MEG analysis Intelligent Control Systems Integrated Expert Systems Solution Of Inverse Problems