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Chapter 3: Neural Processing and Perception. Neural Processing and Perception Neural processing is the interaction of signals in many neurons.

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Presentation on theme: "Chapter 3: Neural Processing and Perception. Neural Processing and Perception Neural processing is the interaction of signals in many neurons."— Presentation transcript:

1 Chapter 3: Neural Processing and Perception

2 Neural Processing and Perception Neural processing is the interaction of signals in many neurons.

3 Figure 3-1 p54

4 Lateral Inhibition and Perception Experiments with eye of Limulus –Ommatidia allow recordings from a single receptor. –Light shown into a single receptor leads to rapid firing rate of nerve fiber. –Adding light into neighboring receptors leads to reduced firing rate of initial nerve fiber.

5 Figure 3-2 p54

6 Figure 3-3 p55

7 Lateral Inhibition and Lightness Perception Three lightness perception phenomena explained by lateral inhibition –The Hermann Grid: Seeing spots at an intersection –Mach Bands: Seeing borders more sharply –Simultaneous Contrast: Seeing areas of different brightness due to adjacent areas

8 Hermann Grid People see an illusion of gray images in intersections of white areas. Signals from bipolar cells cause effect –Receptors responding to white corridors send inhibiting signals to receptor at the intersection –The lateral inhibition causes a reduced response which leads to the perception of gray.

9 Figure 3-4 p55

10 Figure 3-5 p55

11 Figure 3-6 p56

12 Figure 3-7 p56

13 Figure 3-8 p56

14 Mach Bands People see an illusion of enhanced lightness and darkness at borders of light and dark areas. –Actual physical intensities indicate that this is not in the stimulus itself. –Receptors responding to low intensity (dark) area have smallest output. –Receptors responding to high intensity (light) area have largest output.

15 Figure 3-9 p57

16 Figure 3-10 p57

17 Mach Bands - continued –All receptors are receiving lateral inhibition from neighbors –In low and high intensity areas amount of inhibition is equal for all receptors –Receptors on the border receive differential inhibition

18 Mach Bands - continued –On the low intensity side, there is additional inhibition resulting in an enhanced dark band. –On the high intensity side, there is less inhibition resulting in an enhanced light band. –The resulting perception gives a boost for detecting contours of objects.

19 Figure 3-9 p57

20 Figure 3-12 p58

21 Figure 3-13 p58

22 Lateral Inhibition and Simultaneous Contrast People see an illusion of changed brightness or color due to effect of adjacent area –An area that is of the same physical intensity appears: lighter when surrounded by a dark area. darker when surrounded by a light area.

23 Lateral Inhibition and Simultaneous Contrast - continued –Receptors stimulated by bright surrounding area send a large amount of inhibition to cells in center. –Resulting perception is of a darker area than when this stimulus is viewed alone. –Receptors stimulated by dark surrounding area send a small amount of inhibition to cells in center. –Resulting perception is of a lighter area than when this stimulus viewed alone.

24 Figure 3-14 p58

25 Figure 3-15 p59

26 A Display That Can ’ t Be Explained by Lateral Inhibition White ’ s Illusion –People see light and dark rectangles even though lateral inhibition would result in the opposite effect.

27 Explanation of White ’ s Illusion Belongingness –An area ’ s appearance is affected by where we perceive it belongs. –Effect probably occurs in cortex rather than retina. –Exact physiological mechanism is unknown.

28 Figure 3-16 p59

29 Figure 3-17 p59

30 Figure 3-18 p60

31 Processing From Retina to Visual Cortex and Beyond Area of receptors that affects firing rate of a given neuron in the circuit Receptive fields are determined by monitoring single cell responses. Research example for vision –Stimulus is presented to retina and response of cell is measured by an electrode.

32 Figure 3-19 p60

33 Figure 3-20 p61

34 Figure 3-21 p61

35 Center-Surround Antagonism Output of center-surround receptive fields changes depending on area stimulated: –Highest response when only the excitatory area is stimulated –Lowest response when only the inhibitory area is stimulated –Intermediate responses when both areas are stimulated

36 Figure 3-22 p62

37 Figure 3-23 p62

38 Hubel and Wiesel ’ s Rational for Studying Receptive Fields Signals from the retina travel through the optic nerve to the –Lateral geniculate nucleus (LGN) –Primary visual receiving area in the occipital lobe (the striate cortex or area V1) –And then through two pathways to the temporal lobe and the parietal lobe –Finally arriving at the frontal lobe

39 Figure 3-24 p63

40 Figure 3-25 p63

41 Hubel and Wiesel ’ s Rational for Studying Receptive Fields - continued LGN cells have center-surround receptive fields. Major function of LGN is to regulate neural information from the retina to the visual cortex. –Signals are received from the retina, the cortex, the brain stem, and the thalamus. –Signals are organized by eye, receptor type, and type of environmental information.

42 Hubel and Wiesel ’ s Rational for Studying Receptive Fields - continued Excitatory and inhibitory effects are found in receptive fields. Center and surround areas of receptive fields result in: –Excitatory-center-inhibitory surround –Inhibitory-center-excitatory surround

43 Figure 3-26 p64

44 Receptive Fields of Neurons in the Visual Cortex Neurons that fire to specific features of a stimulus Pathway away from retina shows neurons that fire to more complex stimuli Cells that are feature detectors: –Simple cortical cell –Orientation tuning curve –Complex cortical cell –End-stopped cortical cell

45 Figure 3-27 p65

46 Figure 3-28 p65

47 Figure 3-29 p66

48 Table 3-1 p66

49 Selective Adaptation Neurons tuned to specific stimuli fatigue when exposure is long. Fatigue or adaptation to stimulus causes –Neural firing rate to decrease –Neuron to fire less when stimulus immediately presented again Selective means that only those neurons that respond to the specific stimulus adapt.

50 Figure 3-30 p67

51 Selective Adaptation - continued Measure sensitivity to range of one stimulus characteristic Adapt to that characteristic by extended exposure Re-measure the sensitivity to range of the stimulus characteristic

52 Figure 3-31 p67

53 Selective Adaptation - continued Gratings are used as stimuli –Made of alternating light and dark bars –Angle relative to vertical can be changed to test for sensitivity to orientation –Difference in intensity can be changed to test for sensitivity to contrast

54 Figure 3-32 p67

55 Selective Adaptation - continued Measure contrast threshold by decreasing intensity of grating until person can just see it. Calculate the contrast sensitivity by taking 1/threshold. If threshold is low, person has high contrast sensitivity.

56 Figure 3-33 p68

57 Selective Rearing Animals are reared in environments that contain only certain types of stimuli –Neurons that respond to these stimuli will become more predominate due to neural plasticity. –Blakemore and Cooper (1970) showed this by rearing kittens in tubes with either horizontal for vertical lines. –Both behavioral and neural responses showed the development of neurons for the environmental stimuli.

58 Figure 3-34 p69

59 Higher Level Neurons Inferotemporal (IT) cortex Prosopagnosia Fusiform face area

60 Figure 3-35 p69

61 Figure 3-36 p70

62 The Sensory Code Sensory code - representation of perceived objects through neural firing –Specificity coding - specific neurons responding to specific stimuli Leads to the “ grandmother cell ” hypothesis Recent research shows cells in the hippocampus that respond to concepts such as Halle Berry.

63 The Sensory Code continued –Problems with specificity coding: Too many different stimuli to assign specific neurons Most neurons respond to a number of different stimuli. Distributed coding - pattern of firing across many neurons codes specific objects –Large number of stimuli can be coded by a few neurons.

64 Figure 3-37 p70

65 Sensory Code The Sensory Code - continued How many neurons are needed for an object in distributed coding? –Sparse coding - only a relatively small number of neurons are necessary This theory can be viewed as a midpoint between specificity and distributed coding.

66 Figure 3-38 p71

67 Figure 3-39 p71

68 Figure 3-40 p72

69 The Mind-body Problem How do physiological processes become transformed into perceptual experience? –Easy problem of consciousness Neural correlate of consciousness (NCC) - how physiological responses correlate with experience –Hard problem of consciousness How do physiological responses cause experience?

70 Figure 3-41 p73


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