Cybernetics POC: Dave Boothe
Complex cybernetic systems with multiple subsystems and multiple feedback loops represent a critically important, if not well-studied, class of human systems. Understanding such systems, however, present significant methodological and theoretical challenges for the human sciences. We are currently using a large scale model of the cerebral cortex composed of multiple, hierarchically-organized brain areas to test specific hypotheses relating different patterns of connectivity to the global and functional behavior of closed-loop, cybernetic systems with many feedback loops.
- Determine the constraints imposed by different patterns of connectivity on the global dynamical behavior of cybernetic systems with multiple feedback loops.
- Understand how different patterns of connectivity impact the emergence of collective dynamics such as synchrony, complexity and scale free behavior.
- Examine how cross-frequency coupling arises from cortico-cortical and thalamo-cortical connectivity.
- Test hypotheses about the possible role of sub-cortical systems in the neuronal integration of multiple sensory inputs.
- Examine tonic neuromodulatory regulation of baseline activity and response to sensory inputs.
- Explore a novel hypothesis on the functional role of phasic neuromodulation on multisensory integration.
- Test the effect of population and rate-based encodings of information in neuronal systems on system-level serially ordered responses.
- Use representational similarity to drive serial order in a leaky-integrate-and-fire (LIF) neuronal model.
- Develop a neuromorphic hardware based implementation of a LIF neuronal model of serial order.