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Neuropsychology of numbers

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Innehåll tillhandahållet av Ludwig-Maximilians-Universität München and MCMP Team. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Ludwig-Maximilians-Universität München and MCMP Team eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Hourya Benis-Sinaceur (Paris I) gives a talk at the Workshop on Mathematics: Objectivity by Representation (11 November, 2014) titled "Neuropsychology of numbers". Abstract: How do we extract numbers from our perceiving the surrounding world? Neurosciences and cognitive sciences provide us with a myriad of empirical findings that shed light on hypothesized primitive numerical processes in the brain and in the mind. Yet, the hypotheses based on which the experiments are conducted, hence the results, depend strongly on sophisticated arithmetical models. These sophisticated arithmetical models are used to describe and explain neural data or cognitive representations that supposedly are the roots of primary arithmetical activity. I will give some examples of this petitio principii, which is involved in neuropsychologist arguments, most time without any justification.
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22 episoder

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Innehåll tillhandahållet av Ludwig-Maximilians-Universität München and MCMP Team. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Ludwig-Maximilians-Universität München and MCMP Team eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Hourya Benis-Sinaceur (Paris I) gives a talk at the Workshop on Mathematics: Objectivity by Representation (11 November, 2014) titled "Neuropsychology of numbers". Abstract: How do we extract numbers from our perceiving the surrounding world? Neurosciences and cognitive sciences provide us with a myriad of empirical findings that shed light on hypothesized primitive numerical processes in the brain and in the mind. Yet, the hypotheses based on which the experiments are conducted, hence the results, depend strongly on sophisticated arithmetical models. These sophisticated arithmetical models are used to describe and explain neural data or cognitive representations that supposedly are the roots of primary arithmetical activity. I will give some examples of this petitio principii, which is involved in neuropsychologist arguments, most time without any justification.
  continue reading

22 episoder

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