Closed Loop Neuroscience

"Closed Loop Neuroscience " can be regarded as a stand alone field where the brain is regarded as a set of loops interacting with itself, among themselves and with the environment in a relational manner. Over the past three years, I have worked closely with neuroscientists, computer scientists, physicists, linguists and philosophers in order to begin building the foundations of "Closed Loop Neuroscience". The first result of this hard work is gathered in a book

El Hady A.  Closed Loop Neuroscience, Academic Press . July 2016.: and you can also get it on Amazon:

Table of contents:

Theoretical Axis
1. Adaptive Bayesian methods for closed-loop neurophysiology
2. Information geometric analysis of neurophysiological data
3. Control theory for closed loop neurophysiology
4. Testing the theory of practopoiesis using closed loops
5. Local field potential analysis for closed loop neuromodulation
6. Online event detection requirements in closed-loop neuroscience
7. Closing Dewey's Circuit
8. Stochastic optimal control of spike times in single neurons
9. Hybrid systems neuroscience
10. Computational Complexity and the Function-Structure-Environment Loop of the Brain
11. Subjective Physics
12. Contextual emergence in neuroscience

Experimental Axis
13. Closed loop methodologies for cellular electrophysiology
14. Bidirectional Brain-Machine Interfaces
15. Adaptive brain stimulation for Parkinson’s disease
16. Closed loop neuroprosthetics
17. Closed Loop Limbic Neurostimulation
18. Conscious brain-to-brain communication

Philosophical Axis
19. Philosophical aspects of closed loop neuroscience
20. Closed Loops in Neuroscience and Computation: What It Means and Why It Matters

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