Connectivity and complexity: the relationship between neuroanatomy and brain dynamics
Neural Networks - Special issue on the global brain: imaging and modelling
The computer and the brain
Analog VLSI: Circuits and Principles
Analog VLSI: Circuits and Principles
Polychronization: Computation with Spikes
Neural Computation
Engines of the brain: the computational instruction set of human cognition
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Neural Computation
On algorithmic rate-coded AER generation
IEEE Transactions on Neural Networks
Steps to a Cyber-Physical Model of Networked Embodied Anticipatory Behavior
Anticipatory Behavior in Adaptive Learning Systems
AI in the 21st century - with historical reflections
50 years of artificial intelligence
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The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its remarkable functionality will benefit by learning more about neuroscience, and the differences between Natural and Artificial Intelligence. Steps that will allow AI researchers to pursue a more brain-inspired approach to AI are presented. A new approach that bridges AI and neuroscience is described, Embodied Cultured Networks. Hybrids of living neural tissue and robots, called hybrots, allow detailed investigation of neural network mechanisms that may inform future AI. The field of neuroscience will also benefit tremendously from advances in AI, to deal with their massive knowledge bases and help understand Natural Intelligence.