Severe tests in neuroimaging: what we can learn and how we can learn it

Name: Severe tests in neuroimaging: what we can learn and how we can learn it
Author: Aktunç, Mahir Emrah

İsim	Severe tests in neuroimaging: what we can learn and how we can learn it
Yazar	Aktunç, Mahir Emrah
Basım Tarihi:	2014
Basım Yeri	- University of Chicago Press
Konu	Hera model, Brain, Retrieval, Memory, Glia
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1539-767X
Kayıt Numarası	46198577-301b-443b-a5b0-b689088b54d6
Lokasyon	Psychology
Tarih	2014
Örnek Metin	Considerable methodological difficulties abound in neuroimaging and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdetermined by neuroimaging data. I apply Mayo's error-statistical account to clarify the evidential import of neuroimaging data and the kinds of inferences it can reliably support. Thus, we can answer the question 'what can we reliably learn from neuroimaging?' and make sense of how this knowledge can contribute to novel construals of cognition.
DOI	10.1086/677691
Cilt	81

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Severe tests in neuroimaging: what we can learn and how we can learn it

Yazar Aktunç, Mahir Emrah

Basım Tarihi 2014

Basım Yeri - University of Chicago Press

Konu Hera model, Brain, Retrieval, Memory, Glia

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1539-767X

Kayıt Numarası 46198577-301b-443b-a5b0-b689088b54d6

Lokasyon Psychology

Tarih 2014

Örnek Metin Considerable methodological difficulties abound in neuroimaging and several philosophers of science have recently called into question the potential of neuroimaging studies to contribute to our knowledge of human cognition. These skeptical accounts suggest that functional hypotheses are underdetermined by neuroimaging data. I apply Mayo's error-statistical account to clarify the evidential import of neuroimaging data and the kinds of inferences it can reliably support. Thus, we can answer the question 'what can we reliably learn from neuroimaging?' and make sense of how this knowledge can contribute to novel construals of cognition.

DOI 10.1086/677691

Cilt 81