ABSTRACT • Visible Light; 380Nm~825Nm ABSTRACT • Visible Light; 380Nm~825Nm • Cone Cell; at the Foveola(Center of the Eye)

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ABSTRACT • Visible Light; 380Nm~825Nm ABSTRACT • Visible Light; 380Nm~825Nm • Cone Cell; at the Foveola(Center of the Eye) 생리현상에 대한 공학적해석 10: The Eye as a Transducer ABSTRACT • Visible light; 380nm~825nm : lens, retina • Cone cell; at the foveola(center of the eye) : 3um in diameter, 0.7' visual angle • Amplitude range : 4500:1(cone) ; 7 min dark adaptation time : 22:1(rod); 30 min dark adaptation time • Photoreceptors : generate graded potential : proportional to logarithm of visual stimulus 1 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer ABSTRACT • Retina; five layers 1. photoreceptors; receptor potential 2. bipolar cells ; subtraction 3. horizontal cells; gather receptor potentials → local value 4. ganglion cells; translate to APs 5. amacrine cells; detection of illuminance change • Cones 1. red cones; 65%, respond maximally to yellow 2. gg;reen cones; 33%, resppygond maximally to green 3. blue cones; 2%, respond maximally to indigo 2 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer ABSTRACT • SbjtiSubjective sensati on; sat ura tion &h& hue : depend on the ratio red: green: blue(CR:CG:CB) :white: white =(CR :C: CG :C: CB) = 90:45:1 • Standard chromaticity diagram : 0.9 log CR + 0.1log CB -log CG ↔ log CG -log CB - topologically similar to standard diagram : 3-D map in visual cortex; 2-D color map + illuminance : chromaticity diagram for color blindness • Contrast enhancement : B&W enhancement, color enhancement : hypothetical retinal model 3 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Charac ter is tics o f the Eye • Viibllihisible light; e lectromagnet ic wave : 825nm(3.6×1014Hz)~380nm(7.9 ×1014Hz) : atoms & molecules act like tiny antennas • Why sensitive to only this small range? : only this range reach to the earth from sun : for some radiowave, reach through, -but much to small to act as a antenna : phthotorecep tor cell ; organ ic compoun d(hdd(rhodops i)in) - visible light → receptor potential - by electrochemical cycles 4 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Cross section of Human eye • Lens; squeeze using accommodation muscle • Normal; - relaxed lens; looking at distant object on retina - 10yrs old; change focal length by 2.3mm (focus an object 8cm away) - 70yrs-old; change focal length by 0.22mm (sufficient for an object 1m away) 5 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer 5 layers in Retina Fig.50-11 6 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer 5 layers in Retina • Reversed direction -wrong evolution direction & not able to turn back - photoreceptor; require high oxygen tension : closer to blood supply • Light → ganglion → amacrine → bipolar → horizontal → photoreceptor - essentially transparent • Optic disk - optic nerve through the hole in the retina -15° toward nasal side → blind spot - blend in with surroundings 7 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Foveola • Central area for "looking at" an object : 34,000 photoreceptors : 0.6mm in diameter : each receptor - 3um= 3000nm = 3.6 × wavelength of red light → visual acuity - (3um/15000um) × (360° /2π) = 0.011° = 0.7’ ≅ 1' → limiting resolving power of the eye • 1' for a TV screen? - minimum viewing distance? - (screen height/495) ×(360' × 60/2π) = 7 × height 8 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Photoreceptors • Rod - rod shape, sensitive to dim light, free of color - maximally sensitive to 512nm(green; dark gray) - no rod in fovea; increase away from the fovea - maximal visual acuity; 7% of cone - high sensitivity sacrificing resolution • Cone - cone shape - dominate & inhibit rods under "daylight" condition - color vision 9 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Relative Time Response • Lux : SI unit f or ill um inance : power : 1 lux = 1 lumem/m2 • √lux : measure of amplitude : 33020 √lux ~ 0 .003 2 √lux → 100,000:1(107 for ear) 10 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Relative Time Response • Cone photoreceptor : from 320 to 0. 5 : sudden decrease from maximal tolerable white to black : pupil start to open; - opening slowly increase to maximum in 7 min. - 0.07 √lux ; completely absence of light - some chemical & neural change occur • RdRod p hthotorecep tor : 0.07 √lux; cones cease to inhibit the rods : start to increase sensitivity : due to slow chemical & neural factor : 0.0032 √lux after 30 min from the 320 √lux level 11 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Retinal Responses to Steady Light • Retina : Basic sense of light : 2 layer - photoreceptor - ganglion cell : 3 more layers Fig. 10-3 - enhance contrast - signal motion • Simple Circuit : for steady state input : excluding - motion detection 12 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Signa l Process ing in Re tina • Photoreceptor(P) -coppypge with the 600:1 dynamic input range - measure average intensity - i/o characteristics can be changed by " chemical & neural changes" - transfer function for average light intensity : lateral communication between cones : feedback from horizontal(H) cell : constant saccadic motion - wander within a field randomly - 50 cone diameter in 4s : eachllifftdbllh cell is affected by local average 13 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Signa l Process ing in Re tina • Compressifion of output : 600:1 : w/o compression - 20Hz for minimum, 12,000Hz for maximum → ? : with compression - 20~12,000 → 20~500Hz AP frequency • Color dependent : only weakly to brightness : extract ratio(red/green , blue/green.. ) : logarithm + subtraction : red(270), green(135); log270 - log135 = 5. 60 - 491=0694.91 = 0.69 : red(27), green(13.5); log27 - log13.5 = 3.29 - 2.60 = 0.69 (same hue) 14 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer • Logarithmic compression : transfer fn . changes as average intensity change : VP = 16 + 5 log(LZ/LZ0) - valid 0.0408 < LZ/LZ0 < 24.5 → 0.0408:24.5=600:1 - LZ0 = average of local light intensity -VP = cone's output potential -LZ = input light intensity : maximum value = 16 + 5 log(24.5) = 32mV : minimum value = 16 + 5 log(0.0408) = 0mV : input: local average VP = 16 + 5 log(LZ/LZ0 ) =16mV 15 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Idea lize d Neura l • P cells Model - respond to light - logarithmic compression • H cells - wired uppg to measure average • B cells - excited by P cell Fig. 10-3 - inhibited by H cell - contrast enhancement : VB=VP-0.5VH - spherical bipolar structure : up & down • A cells - concerned with motion • G cells - convert GP to AP 16 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer CtContras t • Visual scene presentation Enhancement : resulting bipolar cell output; VB : average input light intensity (LZ0) = 50 • First Experiment : dark background except for a bright center : VP; 16mV(background), 32mV(saturation) Fig. 10-5 : VH; 21mV(center) to 16mV(peripheral) - remote H cell; attenuation of long dendrite -VH is biased for nearest cone neighbors -r² : ΔVH = (ΔVP/π) e ; Gaussian model -r² -r² : ΔVH = (16/π) e → VH = 16 + 5.093 e :V: VB = VP - 05V0.5VH - at center; VB=32-0.5(21.093)= 21.45mV -far away; VB =16 - 0.5(16) = 8mV 17 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer CtContras tEht Enhancemen t • Step transition -black(2.04; 0mV) → white(97.96;19.36mV) → 19mV jump Fig. 10-7 - VP: step function -VH = (ΔVP/2)( 1+ erfc x ) -VB = VP -0.5VH : 0mV[left] → -4.84mV → 14.52mV(19mV jump) → 9V9.7mV[i[rig h]ht] 18 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer Contrast Enhancement Fig. 10-8 • 5 vertical gray strips - differences in subject and actual intensity variation - effect of large contrast change 19 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer CtContras tEht Enhancemen t • Incorrect assessment of small area brightness - medium gray(30:VP=13.45) : in dark gray (10: VP =7.95) : in bright gray (90: VP=18.94mV) Fig. 10-9 - strips are narrow → not seen by the H cell -VB = VP -0.5VH : VB= 9.47mV(left) : VB = 3.98mV((gright) : left strip looks brighter than right one 20 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer CtContras tEht Enhancemen t • Sinusoidal gratings - 0.2 cycles, 1 cycle/unit - compression of high intensity : spatial harmonics -H cell : smooth out the VP variation : DC + fundamental component -VH0 =14.88mV 2 - VH1 =VP1exp(-w /4) : VH1 = - 2.695cos(1.257x) mV : VH1 = - 0.0002cos(6.283x) mV (H cell doesn't see horizontal gratings) -VB =8.3mV(lower f.), VB =11mV(higher f.) : more sensitive to higher freq.(smaller object) 21 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer CEhContrast Enhancement • Ramp transition : VP = 16 + 5 log(LZ/50) : cusp in VB of enhanced contrast Fig. 10-11 : more slope discontinuity : enhancement is less in high brightness 22 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer MhBdMach Bands • EitExperiments : 60 revolution/sec → smooth transition w/o flicker : 135° black ↔ 45° black : displays bumps at edges Fig. 10-12 - MhBdMach Band - white & black bands at edges : calibration ramps → location of equal brightness → estimate size of bumps : Mach Bands in low contrast case 23 서울대학교 대학원 의용생체공학 협동과정 생리현상에 대한 공학적해석 10: The Eye as a Transducer MhBdMach Bands • Difference from the out put of bi pol ar cell VB (1) rounded edge instead of sharp edge (()2) chang ing slop e - small slope; no Mach Bands - increased slope; increased Mach Bands - vertical slope; decreased Mach Bands! (3) only in central region of eye(foveola) ↔ contrast enhancement is retina
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  • Early Visual Processing: Receptive Fields & Retinal Processing (Chapter 2, Part 2)
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    The role of spatiotemporal edges in visibility and visual masking Stephen L. Macknik*†, Susana Martinez-Conde*, and Michael M. Haglund‡ *Department of Neurobiology, Harvard Medical School, 220 Longwood Avenue, Boston, MA 02115; and ‡Duke University Medical Center, Division of Neurosurgery, Box 3807, Durham, NC 27710 Communicated by David H. Hubel, Harvard Medical School, Boston, MA, March 30, 2000 (received for review November 2, 1999) What parts of a visual stimulus produce the greatest neural signal? stimulus temporal modulation (i.e., flicker). It is not yet clear, Previous studies have explored this question and found that the however, which parts of the stimulus’s lifetime are most effective onset of a stimulus’s edge is what excites early visual neurons most in generating inhibitory signals. Here, we probe the role of strongly. The role of inhibition at the edges of stimuli has remained inhibition at spatiotemporal edges using a combination of psy- less clear, however, and the importance of neural responses chophysics and electrophysiology. We moreover used an optical associated with the termination of stimuli has only recently been imaging technique (14, 15) to observe activity-correlated signals examined. Understanding all of these spatiotemporal parameters derived by spatial edges on the surface of the primary visual (the excitation and inhibition evoked by the stimulus’s onset and cortex. termination, as well as its spatial edges) is crucial if we are to Visual masking is a phenomenon in which an otherwise visible develop a general principle concerning the relationship between stimulus, called a target, is rendered invisible (or less visible) by neural signals and the parts of the stimulus that generate them.
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