H De Garis, C Shuo, B Goertzel, L Ruiting - Neurocomputing, 2010 - Elsevier
Driven by rapid ongoing advances in computer hardware, neuroscience and computer science, Artificial Brain research and development are blossoming. This article constitutes …
In the last decade, neuroscientific research has led to many significant insights into brain processes. Nonetheless, relatively little progress has been made to integrate the results of …
The human brain is exceedingly complex and studying it encompasses gathering information across a range of levels, from molecular processes to behavior. The sheer …
A Cyber-Workstation (CW) to study in vivo, real-time interactions between computational models and large-scale brain subsystems during behavioral experiments has been …
One of the grand challenges that the National Academy of Engineers identified is to reverse engineer the brain. Neuroscientists and psychologists would no doubt agree that this is …
M Colombo - Journal of Experimental & Theoretical Artificial …, 2017 - Taylor & Francis
Despite the impressive amount of financial resources recently invested in carrying out large- scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One …
JL Krichmar, GN Reeke - Modeling in the Neurosciences, 2005 - api.taylorfrancis.com
In this chapter, we describe the “synthetic neural modeling”(Reeke et al., 1990a, 1990b) approach to the construction of large-scale models of neuronal systems and illustrate this …
G Livitz, M Versace, A Gorchetchnikov… - The Neuromorphic …, 2011 - Citeseer
Despite recent advances in computational power and memory capacity, realizing brain functions that allow for perception, cognition, and learning on biological temporal and spatial …
Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics. At this time …