Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
When this title was originally published in 1981, the information processing approach to perception and memory was dominant in experimental psychology, and the research reported here had major implications for future development. After exploring the shortcomings of earlier work in this field, the author develops a new model which he shows to be capable of accounting for a variety of experimental data connected with human information processing, visual perception and attention.
The central theme which is discussed is how we select relevant and discard irrelevant information. The basic assumption is that all incoming information is identified, that is, it reaches and activates the appropriate lexical entries. A piece of identified information is described as a unit consisting of three distinguishable codes: a visual code, a lexical or semantic code and a motor or action code. Identified information decays fast, so selective attention operates by selecting those units which have to be saved from this rapid decay. In a sense, therefore, the human information processor is described as struggling against forgetting.
Before Memmo my notes were scattered across PDFs. Now a workspace pulls everything into one place — I see exactly what's still left to study.
Memmo's summaries are gold before exams. I don't have to re-read 800 pages two weeks before — just the important parts.
The AI chat has saved me the night before an exam more than once. I just keep asking until I get it — no waiting on a study group to reply.
The quizzes hit exactly what I need to know. Memmo tracks what I get stuck on — so I only practice what's worth it.
Flashcards with spaced repetition are magic. Memmo knows when I'm about to forget something and brings it back.
The AI podcasts are my favorite. I listen on my way to school and get a recap without sitting at a computer.
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