Neural Convergence and Perception

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Last updated 4:17 PM on 9/19/26
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19 Terms

1
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Rods and cones send signals vertically (in the diagram on the next slide) through:

  • WHAT cells

  • WHAT cells

  • WHAT axons


Rods and cones send signals vertically (in the diagram on the next slide) through:

  • Bipolar cells

  • Ganglion cells

  • Ganglion axons


<p><span style="color: rgb(255, 255, 255);">Rods and cones send signals vertically (in the diagram on the next slide) through:</span></p><ul><li><p><span style="color: rgb(255, 255, 255);">Bipolar cells</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Ganglion cells</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Ganglion axons</span></p></li></ul><p></p>
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Signals are sent horizontally:

  • Between WHAT by WHAT cells

  • Between WHAT and between WHAT cells by WHAT cells


Signals are sent horizontally:

  • Between RECEPTORS by HORIZONTAL cells

  • Between BIPOLAR and between GANGLION cells by AMACRINE cells


<p><span style="color: rgb(255, 255, 255);">Signals are sent horizontally:</span></p><ul><li><p><span style="color: rgb(255, 255, 255);">Between RECEPTORS by HORIZONTAL cells</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Between BIPOLAR and between GANGLION cells by AMACRINE cells</span></p></li></ul><p></p>
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  • The rod to ganglion ratio is WHAT to 1

  • The cone to ganglion ratio is WHAT to 1


  • The rod to ganglion ratio is 120 to 1.

  • The cone to ganglion ratio is 6 to 1


<ul><li><p><span style="color: rgb(255, 255, 255);">The rod to ganglion ratio is 120 to 1.</span></p></li><li><p><span style="color: rgb(255, 255, 255);">The cone to ganglion ratio is 6 to 1</span></p></li></ul><p></p>
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Neural Convergence and Perception

  • WHAT million rods and cones converge to WHAT million ganglion cells.

  • Higher convergence of WHAT than WHAT

  • Average of WHAT rods to one ganglion cell

  • Average of WHAT cones to one ganglion cell

  • Cones in fovea have WHAT relation to ganglion cells


Neural Convergence and Perception

  • 126 million rods and cones converge to 1 million ganglion cells.

  • Higher convergence of RODS than CONES

  • Average of 120 rods to one ganglion cell

  • Average of 6 cones to one ganglion cell

  • Cones in fovea have ONE-TO-ONE relation to ganglion cells


<p><span style="color: rgb(255, 255, 255);">Neural Convergence and Perception</span></p><ul><li><p><span style="color: rgb(255, 255, 255);">126 million rods and cones converge to 1 million ganglion cells.</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Higher convergence of RODS than CONES</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Average of 120 rods to one ganglion cell</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Average of 6 cones to one ganglion cell</span></p></li><li><p><span style="color: rgb(255, 255, 255);">Cones in fovea have ONE-TO-ONE relation to ganglion cells</span></p></li></ul><p></p>
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Convergence Causes Rods to Be More Sensitive Than Cones

  • WHAT are more sensitive to light than WHAT.

  • Rods take WHAT light to respond.

  • Rods have greater WHAT, which results in WHAT of the inputs of many rods into one ganglion cell, increasing the likelihood of its WHAT.

  • The trade-off is that rods cannot distinguish WHAT.


Convergence Causes Rods to Be More Sensitive Than Cones

  • RODS are more sensitive to light than CONES.

  • Rods take LESS light to respond.

  • Rods have greater CONVERGENCE, which results in SUMMATION of the inputs of many rods into one ganglion cell, increasing the likelihood of its RESPONSE.

  • The trade-off is that rods cannot distinguish DETAIL.


<p><span style="color: rgb(255, 247, 247);">Convergence Causes Rods to Be More Sensitive Than Cones</span></p><ul><li><p><span style="color: rgb(255, 247, 247);">RODS are more sensitive to light than CONES.</span></p></li><li><p><span style="color: rgb(255, 247, 247);">Rods take LESS light to respond.</span></p></li><li><p><span style="color: rgb(255, 247, 247);">Rods have greater CONVERGENCE, which results in SUMMATION of the inputs of many rods into one ganglion cell, increasing the likelihood of its RESPONSE.</span></p></li><li><p><span style="color: rgb(255, 247, 247);">The trade-off is that rods cannot distinguish DETAIL.</span></p></li></ul><p></p>
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Less Convergence Causes Cones to Have Better Acuity

  • All-cone foveal vision results in high visual WHAT.

  • One-to-one wiring leads to the ability to discriminate WHAT.

  • The trade-off is that cones need more WHAT to respond than rods.


Less Convergence Causes Cones to Have Better Acuity

  • All-cone foveal vision results in high visual ACUITY.

  • One-to-one wiring leads to the ability to discriminate DETAILS.

  • The trade-off is that cones need more LIGHT to respond than rods.


<p><span style="color: rgb(255, 255, 255);">Less Convergence Causes Cones to Have Better Acuity</span></p><ul><li><p><span style="color: rgb(255, 255, 255);">All-cone foveal vision results in high visual ACUITY.</span></p></li><li><p><span style="color: rgb(255, 255, 255);">One-to-one wiring leads to the ability to discriminate DETAILS.</span></p></li><li><p><span style="color: rgb(255, 255, 255);">The trade-off is that cones need more LIGHT to respond than rods.</span></p></li></ul><p></p>
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Centre-Surround Receptive Fields

  • A receptive field is an area in the retina that, when stimulated, influences the WHAT of the neuron associated with it


Centre-Surround Receptive Fields

  • A receptive field is an area in the retina that, when stimulated, influences the FIRING of the neuron associated with it


<p>Centre-Surround Receptive Fields </p><ul><li><p>A receptive field is an area in the retina that, when stimulated, influences the FIRING of the neuron associated with it</p></li></ul><p></p>
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Keffer Hartline was awarded the Nobel Prize in 1967 for his discovery of the WHAT of a WHAT neuron.

Keffer Hartline was awarded the Nobel Prize in 1967 for his discovery of the RECEPTIVE FIELD of a SINGLE neuron.

<p>Keffer Hartline was awarded the Nobel Prize in 1967 for his discovery of the RECEPTIVE FIELD of a SINGLE neuron.</p>
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On centre-ganglion cell

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Lateral inhibition

a neural process where an excited neuron reduces the activity of its neighboring neurons

<p>a neural process where an excited neuron reduces the activity of its neighboring neurons</p>
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Center-Surround Antagonism

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Mach band effect

  • An optical illusion named after the physicist WHAT

  • An increase in perceived WHAT at borders between regions of the WHAT (i.e., an edge enhancement effect).


Mach band effect

  • An optical illusion named after the physicist ERNST MACH

  • An increase in perceived CONTRAST at borders between regions of the VISUAL FIELD (i.e., an edge enhancement effect).


<p>Mach band effect </p><ul><li><p><span style="color: rgb(237, 235, 235);">An optical illusion named after the physicist ERNST MACH</span></p></li><li><p><span style="color: rgb(237, 235, 235);">An increase in perceived CONTRAST at borders between regions of the VISUAL FIELD (i.e., an edge enhancement effect).</span></p></li></ul><p></p>
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Chevreul illusion

The perceived light & dark bands at the borders, which are not present in the actual physical stimuli.

<p><span>The perceived light &amp; dark bands at the borders, which are not present in the actual physical stimuli.</span></p>
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term image
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Criticism: How about the presence of the OFF-center receptive field?

An OFF-center receptive field produces the OPPOSITE firing pattern, which will offset the ON-center firing pattern. Using only an ON-center receptive field to explain the illusion is a BIASED explanation.

<p><span style="color: rgb(253, 253, 253);">An OFF-center receptive field produces the OPPOSITE firing pattern, which will offset the ON-center firing pattern. Using only an ON-center receptive field to explain the illusion is a BIASED explanation.</span></p>
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Chevreul effect based on lateral inhibition

  • Each bipolar cell sends WHAT to its neighbours

  • If we know the initial WHAT of each receptor and the amount of WHAT, we can calculate the final WHAT of each bipolar cell


Chevreul effect based on lateral inhibition

  • Each bipolar cell sends INHIBITION to its neighbours

  • If we know the initial OUTPUT of each receptor and the amount of LATERAL INHIBITION, we can calculate the final OUTPUT of each bipolar cell


<p>Chevreul effect based on lateral inhibition </p><ul><li><p>Each bipolar cell sends INHIBITION to its neighbours</p></li><li><p>If we know the initial OUTPUT of each receptor and the amount of LATERAL INHIBITION, we can calculate the final OUTPUT of each bipolar cell </p></li></ul><p></p>
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The size of an arrow indicates the amount of WHAT inhibition. Because the square on the left receives more WHAT, it appears darker.

The size of an arrow indicates the amount of LATERAL INHIBITION inhibition. Because the square on the left receives more INHIBITION, it appears darker.

<p>The size of an arrow indicates the amount of LATERAL INHIBITION inhibition. Because the square on the left receives more INHIBITION, it appears darker.</p>
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Wald

  • The Wald’s WHAT

  • WHAT of rods and cones


Wald

  • The Wald’s VISUAL CYCLE

  • SPECTRAL SENSITIVITY of rods and cones


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Hartline

  • WHAT recording

  • WHAT of a single neuron

  • WHAT network

  • WHAT (the horseshoe crab study)


Hartline

  • SINGLE FIBER recording

  • RECEPTIVE FIELD of a single neuron

  • OPTICAL NERVE network

  • LATERAL INHIBITION (the horseshoe crab study)