This page uses JavaScript and requires a JavaScript enabled browser.Your browser is not JavaScript enabled.
This page uses JavaScript and requires a JavaScript enabled browser.Your browser is not JavaScript enabled.
دانشگاه آزاد اسلامی اصفهان(خوراسگان)
منو
درگاههای جستجو
مدارک
جستجوی پیشرفته
مرور
جستجو در سایر کتابخانه ها
مستندات
جستجوی پیشرفته
مرور
منابع دیجیتال
تمام متن
اصطلاحنامه
درختواره
پرسش و پاسخ
سوالات متداول
پرسش از کتابدار
پیگیری پرسش
ورود
ثبت نام
راهنما
خطا
رکورد قبلی
رکورد بعدی
"
Analyzing Statistical Dependencies in Neural Populations
"
Document Type
:
Latin Dissertation
Language of Document
:
English
Record Number
:
150837
Doc. No
:
ET22629
Main Entry
:
Ilan N. Goodman
Title Proper
:
Analyzing Statistical Dependencies in Neural Populations
Note
:
This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract
:
Neurobiologists recently developed tools to record from large populations of neurons,and early results suggest that neurons interact to encode information jointly. However, tra-ditional statistical analysis techniques are inadequate to elucidate these interactions. Thisthesis develops two multivariate statistical dependence measures that, unlike traditionalmeasures, encompass all high-order and non-linear interactions. These measures decom-pose the contributions of distinct subpopulations to the total dependence. Applying thedependence analysis to recordings from the crayfish visual system, I show that neural pop-ulations exhibit complex dependencies that vary with the stimulus. Using Fisher infor-mation to analyze the effectiveness of population codes, I show that optimal rate coding....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject
:
Electericl tess
:
برق
electronic file name
:
TL45853.pdf
Title and statement of responsibility and
:
Analyzing Statistical Dependencies in Neural Populations [Thesis]
http://localhost/site/catalogue/150837
آدرس ثابت
پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
TL45853.pdf
TL45853.pdf
پایان نامه لاتین
متن
application/octet-stream
10.31 MB
85
85
نمایش
نظرسنجی