Super-selective reconstruction of causal and direct connectivity with application to in-vitro iPSC neuronal networks
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Citations
The computational brain: Patricia S. Churchland and Terrence J. Sejnowski (MIT Press, Cambridge, MA, 1992); xi, 544 pages, $39.95
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References
A systematic framework for functional connectivity measures
Model-free reconstruction of excitatory neuronal connectivity from calcium imaging signals.
High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model
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Q2. What have the authors stated for future works in "Super-selective reconstruction of causal and direct connectivity with application to in-vitro ipsc neuronal networks" ?
In addition, it has good scaling capabilities and can be further generalized to any kind of network, thus allowing to target different problems in intact neurons, synthetic models as well as in vitro and in vivo systems. Furthermore, it will be broadly applicable to experimental techniques for neural activation and recording, increasing its utility for the analyses of spontaneous neural activity patterns, as well as neuronal responses to pharmacological perturbations and electrical and optogenetic stimulations [ 70, 26, 38, 41, 3 ]. As novel electrophysiology technologies come online and are validated, the methods the authors presented here will be in an immediate position to take advantage of them, resulting in fundamental improvements in spatial resolution and reconstruction accuracy. Furthermore, their algorithm can be further extended, improved, and possibly integrated with already in-use techniques to overcome important limitations such as the detection of inhibitory connections and the inference of effective connectivity in the bursting regime.