000 04221nam a22006135i 4500
999 _c12431
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001 978-3-319-57081-5
003 DE-He213
005 20211207101338.0
008 170424s2017 gw | s |||| 0|eng d
020 _a9783319570815
040 _cAIKTC-KRRC
041 _aENG
072 7 _aTTBM
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTTBM
_2thema
072 7 _aUYS
_2thema
082 0 4 _a621.382
_223
100 1 _aFlorescu, Dorian.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aReconstruction, Identification and Implementation Methods for Spiking Neural Circuits
_h[electronic resource] /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXIV, 139 p. 42 illus., 27 illus. in color.
_bCard Paper
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
520 _aThis work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fire neuron models. Based on this formulation, a novel algorithm, significantly faster than the state-of-the-art method, is proposed for reconstructing the input of the neuron. Two new identification methods are proposed for neural circuits comprising a filter in series with a spiking neuron model. These methods reduce the number of assumptions made by the state-of-the-art identification framework, allowing for a wider range of models of sensory processing circuits to be inferred directly from input-output observations. A third contribution is an algorithm that computes the spike time sequence generated by an integrate-and-fire neuron model in response to the output of a linear filter, given the input of the filter encoded with the same neuron model.
650 0 _aEXTC Engineering
_94619
653 _aSignal, Image and Speech Processing.
653 _aMathematical Models of Cognitive Processes and Neural Networks.
653 _aSystems Theory, Control.
653 _aCircuits and Systems.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319570808
776 0 8 _iPrinted edition:
_z9783319570822
776 0 8 _iPrinted edition:
_z9783319860725
830 0 _aSpringer Theses, Recognizing Outstanding Ph.D. Research,
_x2190-5053
856 4 0 _uhttps://doi.org/10.1007/978-3-319-57081-5
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
942 _cEBOOKS
_2ddc