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	<title>empirical aesthetics - Max Planck Neuroscience</title>
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		<title>Neuroaesthetics</title>
		<link>https://maxplanckneuroscience.org/neuroaesthetics/</link>
		
		<dc:creator><![CDATA[Helena.Decker]]></dc:creator>
		<pubDate>Tue, 09 Jun 2020 14:26:22 +0000</pubDate>
				<category><![CDATA[Cognition]]></category>
		<category><![CDATA[Journal]]></category>
		<category><![CDATA[Motivation and Emotion]]></category>
		<category><![CDATA[Motor Systems]]></category>
		<category><![CDATA[Sensory Systems]]></category>
		<category><![CDATA[dance]]></category>
		<category><![CDATA[default mode network]]></category>
		<category><![CDATA[empirical aesthetics]]></category>
		<category><![CDATA[Hedonic valuation]]></category>
		<category><![CDATA[music]]></category>
		<category><![CDATA[Poetry]]></category>
		<category><![CDATA[Visual art]]></category>
		<guid isPermaLink="false">https://maxplanckneuroscience.org/?p=3416</guid>

					<description><![CDATA[<p>Neuroaesthetics uses the tools of psychology and neuroscience to understand the nature of aesthetic experiences, such as when a person is emotionally moved by artworks, landscapes or music. Aesthetic experiences engage processes of sensation, comprehension and valuation. Aesthetic appreciation is not determined solely by a stimulus, but by the interaction between a stimulus and a [&#8230;]</p>
<p>The post <a href="https://maxplanckneuroscience.org/neuroaesthetics/">Neuroaesthetics</a> first appeared on <a href="https://maxplanckneuroscience.org">Max Planck Neuroscience</a>.</p>]]></description>
										<content:encoded><![CDATA[<p>Neuroaesthetics uses the tools of psychology and neuroscience to understand the nature of aesthetic experiences, such as when a person is emotionally moved by artworks, landscapes or music. Aesthetic experiences engage processes of sensation, comprehension and valuation. Aesthetic appreciation is not determined solely by a stimulus, but by the interaction between a stimulus and a perceiver, in a manner dependent on their understanding and background knowledge. Aesthetic appreciation modulates a broad network of brain regions, including higher-level portions of sensory pathways, reward circuitry, the medial and orbital prefrontal cortex, and the default-mode network.</p>
<hr />
<h5>Vessel, E. A. (2020). Neuroaesthetics. In Reference Module in Neuroscience and Biobehavioral Psychology (pp. 1–10). Elsevier.<br />
This chapter will also be published as part of the forthcoming “Encyclopedia of Behavioral Neuroscience, 2nd Edition.”<br />
<a href="https://www.sciencedirect.com/science/article/pii/B9780128093245241047?via%3Dihub">Article Link</a></h5>
<hr /><p>The post <a href="https://maxplanckneuroscience.org/neuroaesthetics/">Neuroaesthetics</a> first appeared on <a href="https://maxplanckneuroscience.org">Max Planck Neuroscience</a>.</p>]]></content:encoded>
					
		
		
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		<title>Constrained Structure of Ancient Chinese Poetry Facilitates Speech Content Grouping</title>
		<link>https://maxplanckneuroscience.org/constrained-structure-of-ancient-chinese-poetry-facilitates-speech-content-grouping/</link>
		
		<dc:creator><![CDATA[Helena.Decker]]></dc:creator>
		<pubDate>Mon, 06 Apr 2020 13:23:44 +0000</pubDate>
				<category><![CDATA[Cognition]]></category>
		<category><![CDATA[Journal]]></category>
		<category><![CDATA[Sensory Systems]]></category>
		<category><![CDATA[empirical aesthetics]]></category>
		<category><![CDATA[natural language processing]]></category>
		<category><![CDATA[neural oscillations and entrainment]]></category>
		<category><![CDATA[phase precession]]></category>
		<category><![CDATA[speech]]></category>
		<guid isPermaLink="false">https://maxplanckneuroscience.org/?p=3354</guid>

					<description><![CDATA[<p>Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage [1, 2]; its poetic genres impose unique combinatory constraints on linguistic elements [3]. How does the constrained poetic structure facilitate speech segmentation when common linguistic [4, 5, 6, 7, 8] and statistical cues [5, 9] are unreliable to listeners in poems? [&#8230;]</p>
<p>The post <a href="https://maxplanckneuroscience.org/constrained-structure-of-ancient-chinese-poetry-facilitates-speech-content-grouping/">Constrained Structure of Ancient Chinese Poetry Facilitates Speech Content Grouping</a> first appeared on <a href="https://maxplanckneuroscience.org">Max Planck Neuroscience</a>.</p>]]></description>
										<content:encoded><![CDATA[<p>Ancient Chinese poetry is constituted by structured language that deviates from ordinary language usage [1, 2]; its poetic genres impose unique combinatory constraints on linguistic elements [3]. How does the constrained poetic structure facilitate speech segmentation when common linguistic [4, 5, 6, 7, 8] and statistical cues [5, 9] are unreliable to listeners in poems? We generated artificial Jueju, which arguably has the most constrained structure in ancient Chinese poetry, and presented each poem twice as an isochronous sequence of syllables to native Mandarin speakers while conducting magnetoencephalography (MEG) recording. We found that listeners deployed their prior knowledge of Jueju to build the line structure and to establish the conceptual flow of Jueju. Unprecedentedly, we found a phase precession phenomenon indicating predictive processes of speech segmentation—the neural phase advanced faster after listeners acquired knowledge of incoming speech. The statistical co-occurrence of monosyllabic words in Jueju negatively correlated with speech segmentation, which provides an alternative perspective on how statistical cues facilitate speech segmentation. Our findings suggest that constrained poetic structures serve as a temporal map for listeners to group speech contents and to predict incoming speech signals. Listeners can parse speech streams by using not only grammatical and statistical cues but also their prior knowledge of the form of language.</p>
<hr />
<h5>Teng, X., Ma, M., Yang, J., Blohm, S., Cai, Q., &amp; Tian, X. (2020). Constrained structure of ancient Chinese poetry facilitates speech content grouping. Current Biology 30, 7, P1299-1305.E.<br />
<a href="https://doi.org/10.1016/j.cub.2020.01.059">Article Link</a></h5>
<hr /><p>The post <a href="https://maxplanckneuroscience.org/constrained-structure-of-ancient-chinese-poetry-facilitates-speech-content-grouping/">Constrained Structure of Ancient Chinese Poetry Facilitates Speech Content Grouping</a> first appeared on <a href="https://maxplanckneuroscience.org">Max Planck Neuroscience</a>.</p>]]></content:encoded>
					
		
		
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