Auditory imagery: empirical findings.
By Timothy Hubbard. 2010
262 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Cognitive Science & Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Ben Alderson-Day
- Xing Tian
- Charles Fernyhough
- David Poeppel
- Lassi A. Liikkanen
- Andrea R. Halpern
- Gregory Hickok
- Peter Indefrey
In Experimental and Cognitive Psychology
- Ben Alderson-Day
- Xing Tian
- Charles Fernyhough
- David Poeppel
- Lassi A. Liikkanen
- Andrea R. Halpern
- Gregory Hickok
- Peter Indefrey
In Cognitive Science & Psychology
- Ben Alderson-Day
- Charles Fernyhough
- Xing Tian
- David Poeppel
- Lassi A. Liikkanen
- Andrea R. Halpern
- E. Meins
- Simon McCarthy-Jones
Citations in the corpus
- Inner Speech: Development, Cognitive Functions, Phenomenology, and Neurobiology (2015, methodology): “As noted in the auditory imagery literature (Hubbard, 2010; Zatorre & Halpern, 2005), it is risky to rely on participants’ own reports of inner speech, even if the areas identified in such studies appear to coincide with speech production networks.”
- Musical activities predispose to involuntary musical imagery (2012, background): “Recent studies show that auditory perception and imagery share many neural resources and are very similar in terms of structural and temporal features (Hubbard, 2010).”
- Differences in auditory imagery self-report predict neural and behavioral outcomes. (2015, background): “However, auditory imagery has recently been studied as a topic in its own right (see Hubbard, 2010 for a review).”
- The Effect of Imagination on Stimulation: The Functional Specificity of Efference Copies in Speech Processing (2013, methodology): “Because of possible confounds between neural source magnitude change and distribution change in analyses at the sensor level (Tian & Huber, 2008), a multivariate measurement technique (“angle test of response similarity”), developed by Tian and Huber (2008) and available as an open-source toolbox (T”