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Page 1: 1 2Models of Narran FiorinaGeneralizers areas MODELS ...faculty.washington.edu/etsb/AMATH534/handwritten notes...Goal in. Parameters Isamar-he on For spikina moose as Given * as,)
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8 (often):
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give
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complex spatiotemporal
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garssian noise
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I to fit
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felt as
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• The resulting
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4
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X.y.s)
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is
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receptive field.
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est. of
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\ \
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Panin shiet al 2003.
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Compere with "L N" models
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P
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(t]=
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N C
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Llx.y.s). I (x. y, s)
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1 fit by" spoke trichinas stratus."
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Result: _
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K
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Xiyis)
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is equivalent to a "weighted"
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spite tri
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ggeved average
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,
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with
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• ' L <
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via
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fill)
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' So...
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Can be
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similarly used to discover
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receptive fields.
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_ 6
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_
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G connection
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to R hehe
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Lecture ¥
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identify receptive fields for retinal ganglion cells.
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• Q:
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better (
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more predefine an "
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test" data)
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fit
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for
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an add
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additional
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nonlinear stage of processing...
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(11-2.1,
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Text)
Page 15: 1 2Models of Narran FiorinaGeneralizers areas MODELS ...faculty.washington.edu/etsb/AMATH534/handwritten notes...Goal in. Parameters Isamar-he on For spikina moose as Given * as,)
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I(Xiy,s)+
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Nupstream (I
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(x.y,s))
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G or I
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we-pta is postulated:
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u can it be fit? _
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Freemen t Silvered'
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Vanatianal
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approach
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or, fit a scar
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FEW cascade of
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Gin
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models
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? SRM
Page 16: 1 2Models of Narran FiorinaGeneralizers areas MODELS ...faculty.washington.edu/etsb/AMATH534/handwritten notes...Goal in. Parameters Isamar-he on For spikina moose as Given * as,)
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De carne (Ch. 11.3) _
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a text)
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o
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Fit G an
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"test" set of data
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x
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u
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/
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_
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pl
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of for new
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held-out
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"test
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u " data x
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pl
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k
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{I
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w )
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- n
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}
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)
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]
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1
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spikes
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n
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Unknown Stim
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+
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Known
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fitters,etc.
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r Form spikes to stimulus. _
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)
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know
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,
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consider
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as function of I
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w •
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By exact
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Same argents as above,
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this is
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can care ferreter aft
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~ •
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So... day
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do Max-likelihood
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Decoding
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l prediction of E.
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(Fig. 11.8, Text).
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12

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