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Closed Loop Neuroscience addresses the technical aspects of closed loop neurophysiology, presenting the implementation of these approaches spanning several domains of neuroscience, from cellular and network neurophysiology, through sensory and motor systems, and then clinical therapeutic devices.
Although closed-loop approaches have long been a part of the neuroscientific toolbox, these techniques are only now gaining popularity in research and clinical applications. As there is not yet a comprehensive methods book addressing the topic as a whole, this volume fills that gap, presenting state-of-the-art approaches and the technical advancements that enable their application to different scientific problems in neuroscience.
- Presents the first volume to offer researchers a comprehensive overview of the technical realities of employing closed loop techniques in their work
- Offers application to in-vitro, in-vivo, and hybrid systems
- Contains an emphasis on the actual techniques used rather than on specific results obtained
- Includes exhaustive protocols and descriptions of software and hardware, making it easy for readers to implement the proposed methodologies
- Encompasses the clinical/neuroprosthetic aspect and how these systems can also be used to contribute to our understanding of basic neurophysiology
- Edited work with chapters authored by leaders in the field from around the globe – the broadest, most expert coverage available
Neuroscience researchers across the various subdisciplines
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
13. Closed loop methodologies for cellular electrophysiology
14. Bidirectional Brain-Machine Interfaces
15. Real time movement prediction for closed loop neurotechnology
16. Adaptive brain stimulation for Parkinson’s disease
17. Closed loop neuroprosthetics
18. Closed Loop Limbic Neurostimulation
19. Conscious brain-to-brain communication
20. Philosophical aspects of closed loop neuroscience
21. Closed Loops in Neuroscience and Computation: What It Means and Why It Matters
- No. of pages:
- © Academic Press 2016
- 29th September 2016
- Academic Press
- Hardcover ISBN:
- eBook ISBN:
Ahmed El Hady is currently a Howard Hughes Medical Institute postdoctoral research associate at the Princeton neuroscience Institute where he is studying the neural substrates of decision making. Before moving to Princeton, he held a postdoctoral position at the Max Planck Institute for Biophysical chemistry in the Nanobiophotonics department where he investigated the nanoscale structure of the neuronal cytoskeleton. His PhD work spanned the interface of theoretical and experimental neuroscience in a collaborative project between the Max Planck Institute for Dynamics and Self Organization, the Max Planck Institute for experimental medicine and the Max Planck Institute for Biophysics during which he used optogenetic neurostimulation and microarray technology to study neuronal network dynamics. Ahmed holds a bachelor degree in pharmaceutical sciences from Cairo University and has attended the International Max Planck Research School of Neurosciences in Goettingen. Beside his outstanding academic achievements, Ahmed has organized the first Arab-Israeli-German computational and systems neuroscience meeting that took place in Goettingen during July 2014.
Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA
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