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Neuronal Bases of Systemic Organization of Behavior
Yuri I Alexandrov1,2, Alexey A Sozinov3,4, Olga E Svarnik3
1Department of Psychology, National Research University Higher School of Economics, Moscow, Russia. yuraalexandrov@yandex.ru.
Advances in Neurobiology
|October 19, 2018
Summary
This study proposes a new model of cognitive components as representations of behavioral interactions, not just environmental reflections. This reframing is crucial for understanding learning, memory, and neural plasticity.
Area of Science:
- Systems neuroscience
- Cognitive neuroscience
- Neurobiology
Background:
- Neural circuit functions and behavior remain incompletely understood.
- Current cognitive models often focus on environment representation rather than individual experience.
- Existing models lack biological meaning for individual experience.
Purpose of the Study:
- To propose a cognitive component model based on behavioral interaction with the environment.
- To explore how cognitive units emerge and change during learning and performance.
- To investigate the formation of individual experience through links between cognitive units.
Main Methods:
- Conceptual framework development for cognitive components.
- Analysis of learning and memory research paradigms.
- Discussion of neuronal activity analysis for distinguishing learning processes.
Main Results:
- A shift in perspective from environment-as-model to behavior-interaction-as-model for cognitive units.
- Identification of the need to distinguish between emergence and retrieval/modification of cognitive components.
- Proposal of a framework for analyzing learning and memory.
Conclusions:
- The proposed cognitive component model requires revising established neuroscience phenomena like long-term potentiation.
- Distinguishing between the emergence of new and the modification of existing cognitive components is vital for learning and memory research.
- A revised view on learning and neuronal activity analysis is presented to support this distinction.
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