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Create: 2025-06-07 Update: 2025-06-30 10:30:14

از اونطرف بودجه عظیمی صرف تحقیقات و توسعه سخت افزاری میشه. شرکت هایی مثل انویدیا تمرکز رو گذاشتن روی خلق چیپست های سخت افزاری با پهنای باند بالا چرا؟ چون هر چه اطلاعات سریعتر منتقل شه بهتره.

اما سرعت انتقال اطلاعات در مغز به ‌طور بهینه خیلی کمتر از چیزیه که انتظار میره.

از نظر تئوری، سرعت نهایی که یه نورون در مغز میتونه فعال شه و اطلاعات رو به نورون کناریش منتقل کنه، حدود ۵۰۰ هرتزه.

این یعنی نورون‌ ها میتونن تا ۵۰۰ بار در ثانیه سیگنال عصبی تولید و پیام‌ها رو ارسال کنن. اما اگر نورون‌ها واقعا با چنین سرعت بالایی شلیک کنن، سیستم عصبی ما به شدت دچار اشباع و سردرگمی میشه و دیگه نمیتونن پیام‌ها رو به خوبی از همدیگه تشخیص بدن.

در واقع، نرخ اطلاعات بهینه یعنی سریع ‌ترین سرعتی که نورون‌ها میتونن همچنان پیام ‌های همسایه‌ های خود رو به صورت قابل تشخیص دریافت کنن، نصف این مقداره، یعنی حدود ۲۵۰ هرتز.

https://journals.sagepub.com/doi/10.1097/00004647-200110000-00001

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Tensorflow(@CVision)

بنابراین بیشتر انرژی مصرفی مغز برای فعالیت‌ های پس زمینه هست، نه فقط برای فکر کردن. مثلا کنترل تنفس، احساسات، حافظه و سایر کارهای ناخودآگاه که حتی متوجهشون نمیشیم. در گذشته، بسیاری از عصب ‌شناسان تمرکز خودشون رو بر عملکردهای فعال و آشکار مغز گذاشته بودن،…

SAGE Journals

An Energy Budget for Signaling in the Grey Matter of the Brain

Anatomic and physiologic data are used to analyze the energy expenditure on different components of excitatory signaling in the grey matter of rodent brain. Act...

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Tensorflow(@CVision)

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از اونطرف بودجه عظیمی صرف تحقیقات و توسعه سخت افزاری میشه. شرکت هایی مثل انویدیا تمرکز رو گذاشتن روی خلق چیپست های سخت افزاری با پهنای باند بالا چرا؟ چون هر چه اطلاعات سریعتر منتقل شه بهتره.

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