کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
141546 162899 2010 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Statistically optimal perception and learning: from behavior to neural representations
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Statistically optimal perception and learning: from behavior to neural representations
چکیده انگلیسی

Human perception has recently been characterized as statistical inference based on noisy and ambiguous sensory inputs. Moreover, suitable neural representations of uncertainty have been identified that could underlie such probabilistic computations. In this review, we argue that learning an internal model of the sensory environment is another key aspect of the same statistical inference procedure and thus perception and learning need to be treated jointly. We review evidence for statistically optimal learning in humans and animals, and re-evaluate possible neural representations of uncertainty based on their potential to support statistically optimal learning. We propose that spontaneous activity can have a functional role in such representations leading to a new, sampling-based, framework of how the cortex represents information and uncertainty.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 14, Issue 3, March 2010, Pages 119–130
نویسندگان
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