Objective: This study uses a dyadic approach to understand human-agent cooperation and
system resilience. Background: Increasingly capable technology fundamentally changes …

Social allostasis is a mechanism of adaptation that permits individuals to dynamically adapt
their physiology to changing physical and social conditions. Oxytocin (OT) is widely …

To understand the mechanism of information processing by a biological neural network,
computer simulation of a large-scale spiking neural network is an important method …

Intelligent robots are a highly visible development in the field of science and technology, and
have been undergoing a technological revolution in the last decade, driven by Industry 4.0 …

Neurorobotics is the study of the interaction between neural systems and their physical
embodiments on robotic platforms. Since the brain is strongly coupled with the body and …

There is an abundance of computing power sitting in computer labs waiting to be harnessed.
Previous research in this area has shown promising results networking clusters of …

Reward-based learning can easily be applied to real life with a prevalence in children
teaching methods. It also allows machines and software agents to automatically determine …

Abstract The NCS (NeoCortical Simulator) is a neural network simulator that can simulate
small brains in real time. Since brains learn by interacting with the world, we created the …

The field of neurorobotics is still in its infancy; however, its intersecting motivations are not.
On the one hand, theories of neuroscience that require immersion in the real-world can be …

Abstract The NCS (NeoCortical Simulator) is a neural network simulator capable of
simulating small brains in real time. The NeoCortival Virtual Robot framework allows …