"Connectionism" Example Sentences
1. Connectionism is a theory that suggests that learning occurs through the formation and strengthening of connections between neurons in the brain.
2. The fundamental assumption of connectionism is that cognitive processes are distributed across networks of simple processing units.
3. The study of connectionism has implications for both cognitive science and artificial intelligence.
4. Connectionism models have been successful in explaining various cognitive phenomena, such as visual perception and language processing.
5. Connectionism and computational theories of mind are often contrasted with each other.
6. The parallel processing capabilities of connectionism models make them well-suited for addressing complex cognitive tasks.
7. Connectionism has been influential in the development of machine learning algorithms such as artificial neural networks.
8. Some critics have argued that the basic principles of connectionism are in conflict with traditional approaches to cognitive psychology.
9. Connectionism is often contrasted with modular theories of mind, which propose that cognitive processes are organized into independent modules.
10. Early connectionist models were criticized for their lack of theoretical grounding and reliance on trial-and-error learning.
11. Connectionism models have been used to explain a wide range of cognitive phenomena, such as memory, attention, and decision making.
12. Connectionism has been described as a promising approach to understanding the complex interactions between brain function and behavior.
13. Connectionism has been influential in the study of language acquisition and processing.
14. Connectionist models have been used to simulate the development of language skills in children.
15. The connectionist approach to language processing emphasizes the role of context and experience in shaping our understanding of language.
16. The connectionist model of reading proposes that skilled reading involves the rapid and automatic processing of visual information.
17. Connectionism has been used to explain the phenomenon of priming, in which exposure to one stimulus influences our subsequent response to another stimulus.
18. Connectionist models have also been used to explain the role of emotions in decision making.
19. Connectionism has been criticized for its reliance on uninterpretable mathematical models.
20. The connectionist approach to psychology emphasizes the importance of understanding the neural mechanisms that underlie cognitive processes.
21. Connectionism has been used to explain the phenomenon of category learning, in which people learn to categorize objects based on their features.
22. Connectionism has been used to simulate the development of spatial skills in children.
23. Connectionism has been influential in the study of motor learning and control.
24. Connectionist models have been used to simulate the behavior of animals in complex environments.
25. Connectionism models have been used to explain the phenomenon of attentional blink, in which people are more likely to miss a second target if it appears shortly after the first target.
26. Connectionism has been used to explain the phenomenon of perceptual learning, in which people learn to detect subtle differences between stimuli through practice.
27. Connectionism has been used to simulate the development of social cognition in infants.
28. Connectionist models have been used to explain the phenomenon of stereotype formation and maintenance.
29. Connectionism has been used to simulate the development of mathematical skills in children.
30. Connectionist models have been used to explain the phenomenon of face recognition.
Common Phases
1.
Connectionism is a theoretical framework for understanding how information is processed in the brain;
2.
Connectionism posits that information processing occurs through the activation and modulation of interconnected neural units;
3. Connectionist models simulate brain-like information processing by representing knowledge as patterns of activation across these interconnected units;
4.
Connectionism has been used to explain a wide range of psychological phenomena, including language acquisition, memory, and problem solving;
5. Connectionist models have also been applied in artificial intelligence research, particularly in the development of neural networks for pattern recognition and data analysis.