Cultural recycling of cortical maps.
By Stanislas Dehaene, Leonardo G. Cohen. Neuron, 2007
1,171 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/6d1a2fe5c9d022080b5ae5938b2933aa76ca04f5
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
- Daniel Ansari
- Pawel J. Matusz
- Stanislas Dehaene
- Cathy J. Price
- Micah M. Murray
- Vincenzo Romei
- Andreas Nieder
- Hans-Christoph Nuerk
In Experimental and Cognitive Psychology
- Micah M. Murray
- Pawel J. Matusz
- Cathy J. Price
- Vincenzo Romei
- Daniel Ansari
- Stanislas Dehaene
- Nienke M. van Atteveldt
- Giovanni Pezzulo
In Statistics and Probability
- Hans-Christoph Nuerk
- Stanislas Dehaene
- Daniel Ansari
- Justin Halberda
- Andreas Nieder
- S. Göbel
- Martin H. Fischer
- Cathy J. Price
Citations in the corpus
- Are Spatial-Numerical Associations a Cornerstone for Arithmetic Learning? The Lack of Genuine Correlations Suggests No (2015, background): “Also, from the perspective of cultural evolution and its potential effects on neural reorganization (cf. neural recycling hypothesis, Dehaene & Cohen, 2007), the spatialnumerical coupling seem to be justified, given that spatial and numerical processing are based on a very similar metric –…”
- Music, biological evolution, and the brain (2010, background): “Since music is theorized as building on preexisting brain functions (such as language and auditory scene analysis 2 ), processing predispositions relevant to these other functions are likely to be reflected in the structure and processing of human music (cf. Reynolds, 2005; Dehaene and Cohen, 2007).”
- Knowledge Transfer in Deep Block-Modular Neural Networks (2015, background): “This specialization contrasts with the operating principles of the human nervous system, as it is well known that the brain re-uses existing structures when learning a new task [1,6].”
- The COGs (context, object, and goals) in multisensory processing (2016, background): “The processing of script, an object category closely related to speech (Dehaene and Cohen 2007; van Atteveldt and Ansari 2014), has likewise been tested with respect to how strongly it depends on one’s current goals.”
- Origins and Development of Generalized Magnitude Representation (2011, background): “It is also the case that a system of generalized magnitude representation may be highly economical both with respect to conceptual and neural resources [137,138].”
- Effects of development and enculturation on number representation in the brain (2008, background): “On a broader level, such investigations will provide a greater understanding of the mechanisms that allow cultural inventions to be represented and processed by the brain through both the recruitment of existing representatio”
- Representation of number in the brain. (2009, background): “According to the redeployment hypothesis (Anderson 2007) or recycling hypothesis (Dehaene 2005, Dehaene & Cohen 2007), already existing simpler cell assemblies are largely preserved, extended, and combined as networks to become more complex.”
- The Cultural Number Line: A Review of Cultural and Linguistic Influences on the Development of Number Processing (2011, background): “An example of such “neuronal recycling” (Dehaene, 2005) or “exaptation” (Dehaene & Cohen, 2007) is the visual word form area (VWFA, marked black in Figure 2).”
- Grounding Procedural and Declarative Knowledge in Sensorimotor Anticipation (2011, background): “Nonetheless, we, along with many others (e.g. Dehaene and Cohen, 2007), have provided reasons for believing that language develops on top of an extant representational (brain) substrate.”
- A Moderate Approach to Embodied Cognitive Science (2012, neutral): “…"neural exploitation" hypothesis (Gallese 2008; Gallese and Lakoff 2005); (2) Hurley's "shared circuits model" (Hurley 2005, 2008); (3) Dehaene's "neuronal recycling" theory (Dehaene 2005, 2009; Dehaene and Cohen 2007); and (4) his own "massive redeployment" theory (Anderson 2007a, 2007b, 2010).”