W4 Receptive Fields and Convolution

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27 Terms

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Whats the receptive field of a retinal ganglion cell like?

  • Bipolar cells and interneurones change the signal/output they receive from photoreceptors to create an excitatory or inhibitory response to light

  • If we shine a light into the center we get an excitatory response and cell starts to fire- if we shine a light into the inhibitory centre the firing rate decreases


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Whats spontaneous discharge?

50 pps- base firing rate of cells at all times

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What happens when light shines on the excitatory centre (centre of retinal ganglion cell?)

  • Add +50pps onto baseline


<ul><li><p>Add +50pps onto baseline</p></li></ul><p></p>
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What happens if light is shone off the edge of the excitatory centre?

Still prompts a response but not as high- 25pps

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What happens when light is shone in the inhibitory surrounding?

Response of the retinal ganglion cell falls below spontaneous discharge- -20pps, which leads to 30pps action potential

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How are graded potentials within the retina formed?

Light is transduced (turned from) electromagnetic energy a chemical response from neurotransmitters to get neurotransmitters

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Why do we generate action potentials to the brain from RGC’s?

Because they’re better for going long distances to the brain

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What do different parts of a spike train represent?

  • Transient response when light is shone in the center of the RGC

  • Sustained response and eventually spontaneous discharge when stimulus is turned off


<ul><li><p>Transient response when light is shone in the center of the RGC</p></li><li><p>Sustained response and eventually spontaneous discharge when stimulus is turned off </p></li></ul><p></p>
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How do you read a plot cell response?

  • Spontaneous discharge is baseline rate

  • When we turn the stimulus on rate increases, increasing number of action potentials being generated

  • When light is in excitatory place rate falls to sustained response


<ul><li><p>Spontaneous discharge is baseline rate</p></li><li><p>When we turn the stimulus on rate increases, increasing number of action potentials being generated</p></li><li><p>When light is in excitatory place rate falls to sustained response </p></li></ul><p></p>
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What does a plot cell response look like in the inhibitory surround?

  • No transient response- simply dropped sustained response


<ul><li><p>No transient response- simply dropped sustained response </p></li></ul><p></p>
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What does the plot cell response look like when we shine light on the whole cell?

  • Start with spontaneous discharge

  • Small stimulus onset- returns back to baseline

  • When we turn stimulus off we get a small drop below baseline rate- quickly returns

  • Transient response is VERY small


<ul><li><p>Start with spontaneous discharge </p></li><li><p>Small stimulus onset- returns back to baseline </p></li><li><p>When we turn stimulus off we get a small drop below baseline rate- quickly returns </p></li><li><p>Transient response is VERY small</p></li></ul><p></p>
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Whats the response of a light spot in an excitatory region?

Higher firing rate

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Whats the response of a dark spot in an excitatory region?

Reduced firing rate

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Whats the response of a light spot in an inhibitory region?

Firing rate falls

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Whats the response of a dark stimulus in an inhibitory region?

Increase firing rate

<p>Increase firing rate </p>
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What is convulution?

  • Across the receptive fields we’re getting various signals which tells us ab the presence of an edge

  • Convolution involves taking the retinal image (various amount of stimulus from the photoreceptors)

  • These feed into the RGC’s with their various inhibitory/excitatory responses

  • Receptive fields of RGC’s give us the pattern which produces a neural image


<ul><li><p>Across the receptive fields we’re getting various signals which tells us ab the presence of an edge </p></li><li><p>Convolution involves taking the retinal image (various amount of stimulus from the photoreceptors)</p></li><li><p>These feed into the RGC’s with their various inhibitory/excitatory responses </p></li><li><p>Receptive fields of RGC’s give us the pattern which produces a neural image </p></li></ul><p></p>
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What is an on-centre cell?

Excitatory centre, inhibitory surround

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How does the Hermann grid work?

  • The on centre cell is completely illuminated in the centre

  • The inhibitory centre cells receptive field is getting more input than the edges between the intersections

  • The strength of the signal coming from the RGC at the intersection is gonna be lower as we have more light in the inhibitory part


<ul><li><p>The on centre cell is completely illuminated in the centre</p></li><li><p>The inhibitory centre cells receptive field is getting more input than the edges between the intersections</p></li><li><p>The strength of the signal coming from the RGC at the intersection is gonna be lower as we have more light in the inhibitory part</p></li></ul><p></p>
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Why do we see black dots in the Hermann grid?

  • At the intersections we have a relatively lower signal so it must be darker


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Why do we not get dots at the intersection we’re looking at?

  • receptive fields of the foveal cells are very small so the illusion is destroyed


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What number does the absence of light represent?

  • Black is 0

  • White is any big number (1000)

  • Grey is anything in between


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How do we calculate a single grey level?

Multiple input image by weighing function (luminance x Gaussian function) and calculate the sum

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How do we represent different spacial scales?

  • Narrow is a fine scale with detail, broad is a coarse scale which is good for overall impression


<ul><li><p>Narrow is a fine scale with detail, broad is a coarse scale which is good for overall impression</p></li></ul><p></p>
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What is filtering?

  • To convolve the input image with the weighing function to generate the output image

  • E.g- fine detail is progressively filtered out as we increase the spread of the Gaussian weighing function


<ul><li><p>To convolve the input image with the weighing function to generate the output image </p></li><li><p>E.g- fine detail is progressively filtered out as we increase the spread of the Gaussian weighing function </p></li></ul><p></p>
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Whats the difference between convolution and filtering?

Convolution is just a way of filtering- essentially multiplying then adding up values

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What do RGC’s do?

  • Operate at various spacial scales, highlight edges and remove redundancy

  • Edges are found at the transition between light and dark


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How do we know if the RGC is an off centre or on centre cell?

  • The boundary between a high (white) and low (black) response is the other way round in the output


<ul><li><p>The boundary between a high (white) and low (black) response is the other way round in the output </p></li></ul><p></p>