کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4354078 1412084 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Smelling Time: A Neural Basis for Olfactory Scene Analysis
ترجمه فارسی عنوان
زمان بوییدن: یک عصبی برای تجزیه و تحلیل صحنه های عفونی
کلمات کلیدی
التهاب تجزیه و تحلیل صحنه، رمزگذاری زمان
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی

Behavioral evidence from phylogenetically diverse animals and from humans suggests that, by extracting temporal information inherent in the olfactory signal, olfaction is more involved in interpreting space and time than heretofore imagined. If this is the case, the olfactory system must have neural mechanisms capable of encoding time at intervals relevant to the turbulent odor world in which many animals live. Here, we review evidence that animals can use populations of rhythmically active or ‘bursting’ olfactory receptor neurons (bORNs) to extract and encode temporal information inherent in natural olfactory signals. We postulate that bORNs represent an unsuspected neural mechanism through which time can be accurately measured, and that ‘smelling time’ completes the requirements for true olfactory scene analysis.

TrendsRecent behavioral studies suggest that olfaction is more involved in interpreting space and time than heretofore imagined.This has led researchers to search for neural mechanisms that might encode time at intervals relevant to the turbulent odor world in which many animals live.Recent physiological and computational studies suggest a functional subclass of oscillatory primary olfactory receptor neurons that has the capacity to faithfully encode the intermittency inherent in odor signals.The ability to encode the spatiotemporal structure inherent in the odor signal, together with the well-established ability of the olfactory system to discriminate odor quality and quantity, provides the basis for true olfactory scene analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 39, Issue 10, October 2016, Pages 649–655
نویسندگان
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