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Entropy2016,18, 386 Toconclude,wewillmakereference toAlainBerthoz [217]atCollegedeFrancewhohasstudied braincodingofmovement. Themostrecentstudiesonthis topic,byAlexandreAfgoustidisPh.D. [218] “InvariantHarmonicAnalysis andGeometry in theWorkingsof theBrain”supervisedbyDanielBennequin, Afgoustidis [218]consolidate the idea thatbrainvestibularchannelsandotolithescodeLiealgebraof thehomogeneousGalileogroupas illustrated in the followingFigure15. Figure15.CodingofhomogeneousGalileoalgebrabyvestibularsystemandotolithes. Souriaugave thesameideas in thisdirectionregardinghowthebraincouldcode invariants [219]: Lorsque il yuntremblementde terre,nousassistonsĂ  lamortde l’Espace. . . . Nousvivonsavec noshabitudesquenouspensonsuniverselles. . . . Laneuroscience s’occupe rarementde lagĂ©omĂ©trie . . . Pour les singesquiviventdans les arbres, certainespropriĂ©tĂ©sdugrouped’Euclide sontmieux cĂąblĂ©es dans leurs cerveaux (When there is an earthquake,we arewitnessing the death of Space . . . We livewith our habits thatwe think are universal.... Neuroscience rarely is interested in geometry . . . For themonkeys that live in trees, someproperties of theEuclidgrouparebetter coded in their brains). Souriauaddedanecdotes fromadiscussionwithastudentofBohr that [220]: L’élĂšvedemandaĂ Bohrqu’ilne comprenaitpas leprincipedecorrespondance. Bohr luidemanda de s’assoir et il tourna autour de lui. Bohr lui dit tu dois commencer Ă  avoirmal au cƓur, c’est que tucommencesĂ comprendre cequ’est leprincipede correspondance (The student said toBohr thathedidnotunderstand theprinciple of correspondence. Bohraskedhimto sit andhe turned around. Bohr said,youshouldstart tobe seasick, it is then thatyoubegin tounderstandwhat the correspondenceprinciple is.). Acknowledgments: Iwould like to thankCharles-MichelMarleandGerydeSaxcĂ© for the fruitfuldiscussionson Souriaumodelof statisticalphysics thathelpmetounderstandthe fundamentalnotionofafïŹnerepresentationof Liegroupandalgebra,momentmapandcoadjointorbits. Iwouldalso like to thankMichelBoyomthat introduce meto Jean-LouisKoszulworksonafïŹnerepresentationofLiegroupandLiealgebra. Sionajouteque la critiquequi accoutume l’esprit, surtout enmatiĂšrede faits, Ă  recevoirde simplesprobabilitĂ©s pour des preuves, est, par cet endroit,moins propre Ă  le former, quene le doit ĂȘtre la gĂ©omĂ©trie qui lui fait contracter l’habitudeden’acquiescerqu’à l’évidence;nous rĂ©pliqueronsqu’à la rigueuronpourrait conclurede cettediffĂ©rencemĂȘme,que la critiquedonne, aucontraire, plusd’exercice Ă  l’esprit que lagĂ©omĂ©trie: parceque l’évidence, qui estune et absolue, leïŹxeaupremier aspect sans lui laisserni la libertĂ©dedouter,ni lemĂ©ritede choisir; au lieuque lesprobabilitĂ©s Ă©tant susceptibles duplus et dumoins, il faut, pour semettre en Ă©tat de prendreunparti, les comparer ensemble, lesdiscuter et lespeser.Ungenred’étudequi rompt,pourainsidire, 102
zurĂŒck zum  Buch Differential Geometrical Theory of Statistics"
Differential Geometrical Theory of Statistics
Titel
Differential Geometrical Theory of Statistics
Autoren
Frédéric Barbaresco
Frank Nielsen
Herausgeber
MDPI
Ort
Basel
Datum
2017
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03842-425-3
Abmessungen
17.0 x 24.4 cm
Seiten
476
Schlagwörter
Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
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Differential Geometrical Theory of Statistics