Activity dependent segregation
Date and country of first publication[1]
2008
United Kingdom
Definition
Activity-dependent segregation is a process in which neurons in the brain organize themselves into distinct functional circuits based on their activity levels. This process is facilitated by the strengthening and weakening of synaptic connections between neurons in response to their activity.
This segregation allows for the formation of specialized neural circuits that process specific types of information, such as vision, language, or motor control. Through this process, the brain is able to efficiently process and interpret the vast amount of sensory inputs it receives, leading to more effective and precise neural processing.
Activity-dependent segregation is particularly important during critical periods of brain development, when neural connections are forming and refining in response to environmental stimuli and experiences. Disruptions in this process can lead to various neurological and cognitive disorders, highlighting the importance of understanding and supporting healthy neural development.
See also
References
Notes
- ↑ Date and country of first publication as informed by the Scopus database (December 2023).
At its current state, this definition has been generated by a Large Language Model (LLM) so far without review by an independent researcher or a member of the curating team of segregation experts that keep the Segregation Wiki online. While we strive for accuracy, we cannot guarantee its reliability, completeness and timeliness. Please use this content with caution and verify information as needed. Also, feel free to improve on the definition as you see fit, including the use of references and other informational resources. We value your input in enhancing the quality and accuracy of the definitions of segregation forms collectively offered in the Segregation Wiki ©.
Further reading
Elliott T. (2008) Temporal dynamics of rate based synaptic plasticity rules in a stochastic model of spike timing dependent plasticity. Neural Computation, 20(9), 2253-2307. [1]