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.
Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race, gender, age and species. What factors might account for this type of bias in face recognition? This collection considers the issue of how our identity influences the type of perceptual experience that we have to faces, which, in turn, influences the processes of face recognition. Leading experts from cognitive psychology, neuroscience and computer science address a wide range of topics related to the neural and computational basis of the "own versus other" effect in face recognition, the impact of early experience in infant face recognition, the effect of laboratory training to reverse the other-race effect, cultural differences in expression recognition and the forensic and social consequences of "own versus other" face recognition. The combined work gives the reader a comprehensive overview of the field and an insider’s perspective on the role that identity and experience play in the everyday process of face recognition.
This book was originally published as a special issue of Visual Cognition.
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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