Microcircuit Network Dynamics
Microcircuit Network Dynamics - Related Videos
08:24
Slicing the Embryonic Chicken Auditory Brainstem to Evaluate Tonotopic Gradients and Microcircuits
0 Views •
2022
Here we present a protocol for obtaining non-coronal auditory brainstem slices of the chicken embryo for the investigation of tonotopic properties and developmental trajectories within one brainstem slice. These slices include sagittal, horizontal, and horizontal/transverse sections encompassing larger tonotopic regions within an individual slice plane that the traditional coronal sections.
02:30
Optogenetic Control of Hippocampal Network Dynamics
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2025
This video demonstrates the method to use optogenetics to modulate hippocampal network dynamics by activating genetically modified light-sensitive interneurons in a mouse brain slice, enhancing theta oscillation synchronization and studying neural circuit behavior.
10:44
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Cited by 3 •
2021
The Inherent Dynamics Visualizer is an interactive visualization package that connects to a gene regulatory network inference tool for enhanced, streamlined generation of functional network models. The visualizer can be used to make more informed decisions for parameterizing the inference tool, thus increasing confidence in the resulting models.
10:24
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
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Cited by 26 •
2015
Patch-clamp recordings and simultaneous intracellular biocytin filling of synaptically coupled neurons in acute brain slices allow a correlated analysis of their structural and functional properties. The aim of this protocol is to describe the essential technical steps of electrophysiological recording from neuronal microcircuits and their subsequent morphological analysis.
06:37
Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy
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Cited by 13 •
2022
Differential dynamic microscopy (DDM) combines features of dynamic light scattering and microscopy. Here, the process of using DDM to characterize reconstituted cytoskeleton networks by quantifying the subdiffusive and caged dynamics of particles in vimentin networks and the ballistic motion of active myosin-driven actin-microtubule composites is presented.
FAQs
Excitatory and inhibitory signaling shape microcircuit dynamics by regulating whether local neuronal activity is amplified or restrained. The resulting balance influences the timing, strength, and persistence of network responses. Shifts in connectivity or synaptic effectiveness can therefore alter collective activity, helping explain why similar cells may produce different patterns under different circuit conditions.
Synaptic connectivity determines which cells influence one another, while intrinsic cellular properties affect how individual excitable cells respond to those inputs. Feedback then links successive responses within the circuit, allowing activity to be sustained, redirected, or terminated. Together, these factors help generate oscillations, synchrony, and transient states rather than isolated cellular events.
Activity states change when the interactions among excitation, inhibition, cellular properties, connectivity, and feedback shift over time. A circuit may move from coordinated activity to a brief transient state or a recurring oscillation as these influences change. Studying such transitions helps researchers examine how local biological networks adapt to changing conditions and regulate function.
Researchers combine experimental recordings with computational models and circuit-manipulation methods. Recordings reveal patterns of activity, models help examine how cellular interactions could produce those patterns, and targeted manipulation tests the contribution of circuit components. Comparing these approaches connects cellular behavior with network-level activity and strengthens interpretation of observed oscillations, synchrony, or transient states.
Computational models provide a way to examine how connectivity, excitation, inhibition, intrinsic properties, and feedback jointly influence activity over time. By relating modeled cellular interactions to network patterns, investigators can explore possible mechanisms underlying synchrony, oscillations, and changing activity states. This approach complements recordings by linking observed dynamics to circuit-level explanations.
Microcircuit dynamics provide a framework for connecting local cellular interactions with information encoding and behavioral regulation. When normal patterns of activity become disrupted, the resulting changes may help investigators study mechanisms associated with neurological and psychiatric disorders. Combining recordings, modeling, and circuit manipulation can clarify how altered network activity relates to biological function and dysfunction.