A Formal introduction to Neural Networks: An Attempt to explain Whole Brain Emulation and Conscious Systems from Scratch
Brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing brain diseases. Various simulations from around the world have been fully or partially released as open source, such as C. elegans, and the Blue Brain Project Showcase. In 2013 the Human Brain Project, which has utilized techniques used by the Blue Brain Project and built upon them,created a Brain Simulation Platform (BSP), an internet-accessible collaborative platform designed for the si
Resource information
- Authors
- Abinesh Mathivanan, Sakshi Gupta
- Research area
- Artificial intelligence
- Research topics
- Artificial intelligence not elsewhere classified, Modelling and simulation, Theory of computation not elsewhere classified, Artificial life and complex adaptive systems, Intelligent robotics
- Publication date
- 2026
- DOI
- 10.6084/m9.figshare.21523536
- Upstream last modified
- Jul 29, 2026
- License
- Creative Commons Attribution 4.0 International
- Last record update
- Nov 4, 2026
About this resource
Brain simulation is the concept of creating a functioning computer model of a brain or part of a brain. Brain simulation projects intend to contribute to a complete understanding of the brain, and eventually also assist the process of treating and diagnosing brain diseases. Various simulations from around the world have been fully or partially released as open source, such as C. elegans, and the Blue Brain Project Showcase. In 2013 the Human Brain Project, which has utilized techniques used by the Blue Brain Project and built upon them,created a Brain Simulation Platform (BSP), an internet-accessible collaborative platform designed for the simulation of brain models. Simulation also aims to replicate work on animal models, such as the mouse. In addition, the computing environment used for simulation offers the possibility of studying disease processes electronically. Richard Feynman famously said, “What I cannot create, I do not understand.” To truly understand the brain we need tools to create it, in brain atlases, computer models, and simulations. The platforms to be delivered are for Neuroinformatics, Medical Informatics, Brain Simulation, High Performance Computing, Neuromorphic Computing and Neurorobotics—each to be open for use by the global research community. These platforms are designed to bring together data about the brain, integrate it in unifying brain models, run simulations, analyze and visualize the results, and test hypotheses. The project aims to trigger a global, collaborative effort to understand the human brain, while enabling advances in neuroscience, medicine, and future computing. The primary objective is to provide the capability to build and simulate models of the entire human brain within ten years. The central question in next-generation artificial intelligence (AI) and developmental robotics is how to build an integrative cognitive system capable of lifelong learning and human-like behavior in various environments such as homes, offices, and outdoors. In this research, inspired by the whole brain architecture (WBA) approach, using a whole brain probabilistic generative model (WB-PGM), we introduce the idea of building an integrative cognitive system that can alternatively be referred to as artificial general intelligence. Adjacent research areas include biologically inspired cognitive architectures and cognitive computational neuroscience, which is an interdisciplinary field of cognitive science and computational neuroscience.