simulations of visual deprivation in micebblais/pdf/pres_082704b.pdf · 2016. 7. 10. · on the...
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Simulations of Visual Deprivation in MiceSimulations of Visual Deprivation in Mice
Brian BlaisScott Kuindersma
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Simulations of Visual Deprivation in MiceSimulations of Visual Deprivation in Mice
●Approximate Mouse Visual SystemApproximate Mouse Visual System●Normal RearingNormal Rearing●Model of DeprivationModel of Deprivation
● Monocular DeprivationMonocular Deprivation● Binocular DeprivationBinocular Deprivation
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● On the order of 1000 photoreceptors feeding into 1 ganglion cell (Sterling 1988; Jeon, et al. 1998)
● Not much difference in cell density for mouse or cat retina● Retina/LGN responses show centersurround organization,
with a center diameter around 710o (Stone and Pinto 1993; Grubb and Thompson 2003) for the mouse [cat < 1o]
● mean V1 RF widths between 6o (Gordon et al. 1996) and 14o (Metin et al. 1998)
● Contralateral bias in mouse on the order of 2.5 (functionally)
Approximate Mouse Visual SystemApproximate Mouse Visual System
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Natural ImagesNatural Images
6060oo
4040oo
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● On the order of 1000 photoreceptors feeding into 1 ganglion cell32x32 photoreceptors input to ganglion cell
● A difference of Gaussians (DOG) retinal filter3:9 center:surround => center diameter ~ 13 pixels
● Resize image13 pixels ~ 7o (mouse)13 pixels ~ 0.5o (cat)
Pixels to PhotoreceptorsPixels to Photoreceptors
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Mouse versus Cat Ganglion ResponsesMouse versus Cat Ganglion Responses
Unprocessed Mouse Cat
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● Alter image intensityIpsilateral (right) channel image intensity is reduced by a factor of 2.5.
● Cats do not actually have a bias
Implementation of contralateral biasImplementation of contralateral bias
Mouse
Con
traIp
si
Cat (with bias)
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Cat with contralateral bias – Normal Rearing (NR)Cat with contralateral bias – Normal Rearing (NR)
nr061504_1
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Mouse NRMouse NR
nr081604_3_4
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Mouse NRMouse NR
nr081704_3_1
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Cat with bias – Monocular Deprivation (MD), High noise (lid suture)Cat with bias – Monocular Deprivation (MD), High noise (lid suture)
Gaussian SD = 0.8
md061604_1_8
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Cat with bias – MD, Low noise (TTX)Cat with bias – MD, Low noise (TTX)
Gaussian SD = 0.01
md061604_1_01
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MD, High noise (lid suture):● rapid deprivedeye response depression ● delayed nondeprived eye response potentiation
MD, Low noise (TTX): ● little or no deprivedeye response depression● rapid nondeprived eye response potentiation
MD noise dependencyMD noise dependency
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Mouse – MD, High noise (lid suture)Mouse – MD, High noise (lid suture)
Gaussian SD = 0.8
md081704_2
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Mouse – MD, Low noise (TTX)Mouse – MD, Low noise (TTX)
Gaussian SD = 0.01
md081704_1
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● Pattern input into weaker eye● Noise input into stronger eye
Mouse MD Cat RS
(2.5/1 bias, DoG 3:9) (no bias, DoG 1:3)
Mouse MD (contralateral) is similar to Cat RSMouse MD (contralateral) is similar to Cat RS
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Monocular Deprivation With Filtered ImagesMonocular Deprivation With Filtered Images
● A filtered image set + noise was applied to the deprived eye.
● These images have● Larger DoG filter● Decreased intensity
Goal: to generate a pattern of depression to delayed potentiation in the deprived channel.
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Cat with bias – Filtered Image MDCat with bias – Filtered Image MD
md071504_2
Image SD 0.8, Noise SD 0.1
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Cat with bias – Filtered Image MDCat with bias – Filtered Image MD
md071504_4
Image SD 0.8, Noise SD 0.2
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Cat with bias – Filtered Image MDCat with bias – Filtered Image MD
md071504_1
Image SD 0.8, Noise SD 0.05
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Mouse – Filtered Image MDMouse – Filtered Image MD
md081704_3_1
Image SD 0.8, Noise SD 0.05
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Mouse – Filtered Image MDMouse – Filtered Image MD
md081704_4_1
Image SD 0.8, Noise SD 0.1
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Effects of noise and retinal filter on MD dynamicsEffects of noise and retinal filter on MD dynamics
noisenoiselevellevel
finalfinaldeprivedeyedeprivedeyeresponseresponse
deprivedeyedeprivedeyeretinal filter sizeretinal filter size
deprivedeyedeprivedeyerecovery delayrecovery delay
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Deprivation of the Ipsilateral EyeDeprivation of the Ipsilateral Eye
● Data?
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Cat with bias – ipsilateral MD, high noiseCat with bias – ipsilateral MD, high noise
Gaussian SD = 0.8
md081904_4
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Cat with bias – ipsilateral MD, low noiseCat with bias – ipsilateral MD, low noise
Gaussian SD = 0.01
md081904_3
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Mouse – ipsilateral MD, high noiseMouse – ipsilateral MD, high noise
Gaussian SD = 0.8
md081904_6
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Mouse – ipsilateral MD, low noiseMouse – ipsilateral MD, low noise
Gaussian SD = 0.01
md081904_5
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Binocular DeprivationBinocular Deprivation
●BD for a week in an otherwise normal mouse BD for a week in an otherwise normal mouse has no effect on the response to either eye. has no effect on the response to either eye.
●I have an interesting twist for you.... [Misha] has I have an interesting twist for you.... [Misha] has found (so far) that subsequent BD completely found (so far) that subsequent BD completely erases the effect of the initial MD.erases the effect of the initial MD.
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Mouse – Filtered Image BD following NRMouse – Filtered Image BD following NR
bd082504_4
Image SD 0.7, Noise SD 0.05
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Mouse – Filtered Image MD Following MDMouse – Filtered Image MD Following MD
md082704_1
Image SD 0.8, Noise SD 0.05
MD MD
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Mouse – Filtered Image BD Following MDMouse – Filtered Image BD Following MD
bd082704_1
Image SD 0.8, Noise SD 0.05
MD BD
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SummarySummary
● Reproduce the results of Frenkel/Bear with BCM● Lid suture
● Rapid deprivedeye response depression● Delayed nondeprived eye response potentiation
● TTX● Little or no deprivedeye response depression● Rapid nondeprived eye response potentiation
● Filtered image deprivation● increasing noise level decreases final deprivedeye responses● increasing retinal filter size increases delay of recovery● BD gives no decrease after NR, and gives recovery after MD
● Ipsilateral deprivation● modest increase in the contralateral responses● standard BCMlike noise dependence for ipsi responses
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Some Final ThoughtsSome Final Thoughts
● Blurry input patterns, caused by lidsuture, behave much like noise, when competing with nonblurry input patterns in another channel (e.g. MD)
● Small amounts of structure in blurry input patterns can somewhat offset the noiselike behavior, and can result in modest increases in responses
● When the only input is blurry input patterns (e.g. BD), then the situation is more like normal rearing, with (most likely) slower dynamics
Questions/Comments?Questions/Comments?