Neuronal Cell Assemblies
Neuronal Cell Assemblies - Related Videos
11:36
Assembly, Loading, and Alignment of an Analytical Ultracentrifuge Sample Cell
0 Views •
Cited by 21 •
2009
The analytical ultracentrifuge (AUC) sample cell holds sample and reference buffer and during experiments and is exposed to high vacuum and rotor speeds up to 60,000 rpm. This video will demonstrate the rigorous attention to detail necessary for assembly, loading and alignment of this very important component of an AUC experiment.
06:46
Compartmentalization of Human Stem Cell-Derived Neurons within Pre-Assembled Plastic Microfluidic Chips
0 Views •
Cited by 16 •
2019
This protocol demonstrates the use of compartmentalized microfluidic chips, injection molded in a cyclic olefin copolymer to cultured neurons differentiated from human stem cells. These chips are preassembled and easier-to-use than traditional compartmentalized poly(dimethylsiloxane) devices. Multiple common experimental paradigms are described here, including viral labeling, fluidic isolation, axotomy, and immunostaining.
06:53
Use of Primary Cultured Hippocampal Neurons to Study the Assembly of Axon Initial Segments
0 Views •
Cited by 1 •
2021
Here, we described a protocol to quantitatively study the assembly and structure of the axon initial segments (AIS) of hippocampal neurons that lack pre-assembled AIS due to the absence of a giant ankyrin-G.
16:04
Isolation and Culture of Post-Natal Mouse Cerebellar Granule Neuron Progenitor Cells and Neurons
0 Views •
Cited by 93 •
2009
Here we present a method to isolate and culture cerebellar granule neuron progenitor cells and cerebellar granule neurons from postnatal mouse.
11:01
Cultivation of Human Neural Progenitor Cells in a 3-dimensional Self-assembling Peptide Hydrogel
0 Views •
Cited by 23 •
2012
Here we describe the use of a self-assembling 3-dimensional scaffold to culture human neural progenitor cells. We present a protocol to release the cells from the scaffolds to be analysed subsequently e.g. by flow cytometry. This protocol might be adapted to other cell types to perform detailed mechanistically studies.
FAQs
Synaptic connectivity and activity-dependent plasticity provide the main mechanisms by which assembly membership and coordination can change. As neurons repeatedly participate in shared activity, plasticity can alter their functional relationships, while existing connections help coordinated patterns persist or reappear. This adaptability allows experience to reshape neural representations rather than fixing them permanently.
Their dynamics reflect the interaction between prior coordinated activity, synaptic connectivity, and new experience. Some activity patterns can persist or reappear, supporting continuity in representation, while others reorganize as activity-dependent plasticity changes the participating network. Comparing assemblies across behavioral tasks or brain states therefore reveals how neural representations remain stable yet adaptable.
Electrophysiological recording and calcium imaging provide experimental measurements of coordinated neural activity, whereas computational analysis identifies and evaluates patterns within those measurements. Used together, these approaches help determine whether activity is organized into assemblies and how those patterns vary with behavior, brain state, disease condition, or task demands.
Researchers record neural activity while an organism engages in a behavioral task, then examine the data for coordinated patterns among neurons. Computational analysis can compare those patterns across conditions, experiences, or brain states. This workflow connects assembly dynamics with behavioral variables such as perception, learning, memory, decision-making, and motor control.
Assembly activity can be examined as a neural correlate of perception, learning, memory, decision-making, and motor control. Researchers ask whether particular coordinated patterns occur in relation to these processes and whether the patterns persist, reappear, or reorganize. Such analyses link population-level neural activity with information processing and behavior.
Comparing assembly dynamics across brain states and disease conditions can reveal whether coordinated neural patterns remain stable, change, or reorganize. These comparisons provide context for interpreting how neural representations operate under different conditions. Combined with behavioral tasks, they may clarify relationships among altered activity patterns, cognitive processes, and behavioral outcomes.