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151.
To explain learning, comparative researchers invoke an associative construct by which immediate reinforcement strengthens animal's adaptive responses. In contrast, cognitive researchers freely acknowledge humans' explicit-learning capability to test and confirm hypotheses even lacking direct reinforcement. We describe a new dissociative framework that may stretch animals' learning toward the explicit pole of cognition. We discuss the neuroscience of reinforcement-based learning and suggest the possibility of disabling a dominant form of reinforcement-based discrimination learning. In that vacuum, researchers may have an opportunity to observe animals' explicit learning strategies (i.e., hypotheses, rules, task self-construals). We review initial research using this framework showing explicit learning by humans and perhaps by monkeys. Finally, we consider why complementary explicit and reinforcement-based learning systems might promote evolutionary and ecological fitness. Illuminating the evolution of parallel learning systems may also tell part of the story of the emergence of humans' extraordinary capacity for explicit-declarative cognition.  相似文献   
152.
Memory contains information about individual events (items) and combinations of events (associations). Despite the fundamental importance of this distinction, it remains unclear exactly how these two kinds of information are stored and whether different processes are used to retrieve them. We use both model-independent qualitative properties of response dynamics and quantitative modeling of individuals to address these issues. Item and associative information are not independent and they are retrieved concurrently via interacting processes. During retrieval, matching item and associative information mutually facilitate one another to yield an amplified holistic signal. Modeling of individuals suggests that this kind of facilitation between item and associative retrieval is a ubiquitous feature of human memory.  相似文献   
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