02047nam0 22004333i 450 VAN016374620230614114334.829N978331939552420210621d2016 |0itac50 baengCH|||| |||||Form Versus Function: Theory and Models for Neuronal SubstratesDoctoral Thesis accepted by the University of Heidelberg, GermanyMihai Alexandru PetroviciChamSpringer2016xxiii, 374 p.ill.24 cm001VAN01041932001 Springer thesesrecognizing outstanding Ph.D. research210 BerlinSpringer2010-VAN0163747Form Versus Function: Theory and Models for Neuronal Substrates180757092B20Neural networks for/in biological studies, artificial life and related topics [MSC 2020]VANC021414MFAbstract Spiking Neuron ModelsKW:KBayesian InferenceKW:KComputational NeurosciencesKW:KDeep Learning ArchitecturesKW:KNeural Network TheoryKW:KNeural SamplingKW:KNeuromorphic HardwareKW:KNeuronal DynamicsKW:KSpike and Rate CodesKW:KTheoretical NeurosciencesKW:KCHChamVANL001889PetroviciMihai AlexandruVANV147435805094Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-319-39552-4E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0163746BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 2720 08eMF2720 20210621 Form Versus Function: Theory and Models for Neuronal Substrates1807570UNICAMPANIA