کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4324101 1613857 2014 11 صفحه PDF سفارش دهید دانلود رایگان
عنوان انگلیسی مقاله ISI
A visual sense of number emerges from the dynamics of a recurrent on-center off-surround neural network
ترجمه فارسی عنوان
یک حس بصری از تعداد پدیده ای از یک شبکه عصبی مجاور مرکزی خاموش فراگیر است
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کلمات کلیدی
حسن بصری اعداد، مدل محاسباتی، در مرکز بی صدا، شبکه عصبی، شمارش توجه فضایی، فردا، شناخت عددی
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
چکیده انگلیسی


• Subitization and estimation emerge from the dynamics of a single recurrent network.
• Unified account of various classical numerical cognition effects.
• Novel formulation of energy function enables comprehensive parametric investigation.
• Reaction time (RT) estimate for enumeration experiments from simulation.
• Novel testable prediction about a possible asymmetric switch cost in enumeration.

It has been proposed that the ability of humans to quickly perceive numerosity involves a visual sense of number. Different paradigms of enumeration and numerosity comparison have produced a gamut of behavioral and neuroimaging data, but there has been no unified conceptual framework that can explain results across the entire range of numerosity. The current work tries to address the ongoing debate concerning whether the same mechanism operates for enumeration of small and large numbers, through a computational approach. We describe the workings of a single-layered, fully connected network characterized by self-excitation and recurrent inhibition that operates at both subitizing and estimation ranges. We show that such a network can account for classic numerical cognition effects (the distance effect, Fechner׳s law, Weber fraction for numerosity comparison) through the network steady state activation response across different recurrent inhibition values. The model also accounts for fMRI data previously reported for different enumeration related tasks. The model also allows us to generate an estimate of the pattern of reaction times in enumeration tasks. Overall, these findings suggest that a single network architecture can account for both small and large number processing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain Research - Volume 1582, 25 September 2014, Pages 114–124
نویسندگان
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