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Retinomorphic sensor

Retinomorphic sensor is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Retinomorphic sensor rather than just read about it. In short: Retinomorphic sensors are a type of event-driven optical sensor which produce a signal in response to changes in light intensity, rather than to light intensity itself. This is in contrast to conventional optical sensors such as charge coupled device (CCD) or complementary metal oxide semiconductor (CMOS) based sensors, which output a signal that increases with increasing light intensity.

Retinomorphic sensor — main illustration
Retinomorphic sensor — illustration

Key takeaways

  • Retinomorphic sensor belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Retinomorphic sensor to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Retinomorphic sensor from memory before moving on to harder problems.

Reference excerpt

Retinomorphic sensors are a type of event-driven optical sensor which produce a signal in response to changes in light intensity, rather than to light intensity itself. This is in contrast to conventional optical sensors such as charge coupled device (CCD) or complementary metal oxide semiconductor (CMOS) based sensors, which output a signal that increases with increasing light intensity. Because they respond to movement only, retinomorphic sensors are hoped to enable faster tracking of moving objects than conventional image sensors, and have potential applications in autonomous vehicles, robotics, and neuromorphic engineering.

Naming and history The first so-called artificial retina were reported in the late 1980s by Carver Mead and his doctoral students Misha Mahowald, and Tobias Delbrück. These silicon-based sensors were based on small circuits involving differential amplifiers, capacitors, and resistors. The sensors produced a spike and subsequent decay in output voltage in response to a step-change in illumination intensity. This response is analogous to that of animal retinal cells, which in the 1920s were observed to fire more frequently when the intensity of light was changed than when it was constant. The name silicon retina has hence been used to describe these sensors. The term retinomorphic was first used in a conference paper by Lex Akers in 1990. The term received wider use by Stanford Professor of Engineering Kwabena Boahen, and has since been applied to a wide range of event-driven sensing strategies. The word is analogous to neuromorphic, which is applied to hardware elements (such as processors) designed to replicate the way the brain processes information.

Operating principles There are several retinomorphic sensor designs which yield a similar response. The first designs employed a differential amplifier which compared the input signal from of a conventional sensor (e.g. a phototransistor) to a filtered version of the output, resulting in a gradual decay if the input was constant. Since the 1980s these sensors have evolved into much more complex and robust circuits. A more compact design of retinomorphic sensor consists of just a photosensitive capacitor and a resistor in series. The output voltage of these retinomorphic sensors, V o u t {\displaystyle V_{out}} , is defined as voltage dropped across the resistor. The photosensitive capacitor is designed to have a capacitance which is a function of incident light intensity. If a constant voltage V i n {\displaystyle V_{in}} , is applied across this RC circuit it will act as a passive high-pass filter and all voltage will be dropped across the capacitor (i.e. V o u t = 0 {\displaystyle V_{out}=0} ). After a sufficient amount of time, the plates of the capacitor will be fully charged with a charge Q = ± C d a r k ( V i n − V o u t ) {\displaystyle Q=\pm C_{dark}(V_{in}-V_{out})} on each plate, where C d a r k {\displaystyle C_{dark}} is the capacitance in the dark. Since V o u t = 0 {\displaystyle V_{out}=0} under constant illumination, this can be simplified to Q = ± C d a r k V i n {\displaystyle Q=\pm C_{dark}V_{in}} .

… excerpt ends here. Continue reading the full article.

Illustrations

Retinomorphic sensor: Top: Step change in light intensity incident on sensor as a function of time. Middle: Form of output from conventional optical sensor as a function of time. Bottom: Form of output from retinomorphic sensor as a function of time.
Top: Step change in light intensity incident on sensor as a function of time. Middle: Form of output from conventional optical sensor as a function of time. Bottom: Form of output from retinomorphic sensor as a function of time.
Retinomorphic sensor: Illustration of charge on the plates of a photosensitive capacitor in series with a resistor. Before time t0, the capacitor is in the dark and the charge on the plates is determined by Cdark. At time t ≥ t0, the capacitor is under illumination and the capacitance changes to Clight, resulting in the charge the plates can accommodate changing. The excess charge then flows on/off of the plates over a period of time determined by the resistor R.
Illustration of charge on the plates of a photosensitive capacitor in series with a resistor. Before time t0, the capacitor is in the dark and the charge on the plates is determined by Cdark. At time t ≥ t0, the capacitor is under illumination and the capacitance changes to Clight, resulting in the charge the plates can accommodate changing. The excess charge then flows on/off of the plates over a period of time determined by the resistor R.
Retinomorphic sensor: Left: schematic cross-sectional diagram of photosensitive capacitor. Center: circuit diagram of retinomorphic sensor, with photosensitive capacitor at top. Right: Expected transient response of retinomorphic sensor to application of constant illumination.
Left: schematic cross-sectional diagram of photosensitive capacitor. Center: circuit diagram of retinomorphic sensor, with photosensitive capacitor at top. Right: Expected transient response of retinomorphic sensor to application of constant illumination.
Retinomorphic sensor: Top: Illustration of transient response (output voltage 
  
    
      
        
          V
          
            o
            u
            t
          
        
      
    
    {\displaystyle V_{out}}
  
 as a function of 
  
    
      
        t
      
    
    {\displaystyle t}
  
) of retinomorphic sensor in response to a step change in light intensity from 0 to 
  
    
      
        P
      
    
    {\displaystyle P}
  
, for increasing values of 
  
    
      
        P
      
    
    {\displaystyle P}
  
. Bottom: Illustration of how one can extract the retinomorphic figure of merit, 
  
    
      
        Λ
      
    
    {\displaystyle \Lambda }
  
, from experimental retinomorphic sensor data. By plotting the ratio of 
  
    
      
        
          V
          
            i
            n
          
        
        
          /
        
        
          V
          
            m
            a
            x
          
        
      
    
    {\displaystyle V_{in}/V_{max}}
  
 on the y-axis against 
  
    
      
        1
        
          /
        
        
          
            P
          
        
      
    
    {\displaystyle 1/{\sqrt {P}}}
  
 on the x-axis, then fitting with a straight line, the gradient will yield 
  
    
      
        1
        
          /
        
        Λ
      
    
    {\displaystyle 1/\Lambda }
  
.
Top: Illustration of transient response (output voltage V o u t {\displaystyle V_{out}} as a function of t {\displaystyle t} ) of retinomorphic sensor in response to a step change in light intensity from 0 to P {\displaystyle P} , for increasing values of P {\displaystyle P} . Bottom: Illustration of how one can extract the retinomorphic figure of merit, Λ {\displaystyle \Lambda } , from experimental retinomorphic sensor data. By plotting the ratio of V i n / V m a x {\displaystyle V_{in}/V_{max}} on the y-axis against 1 / P {\displaystyle 1/{\sqrt {P}}} on the x-axis, then fitting with a straight line, the gradient will yield 1 / Λ {\displaystyle 1/\Lambda } .

Worked examples

Example 1 — a first encounter with Retinomorphic sensor

Start with the simplest possible case. Write down what Retinomorphic sensor claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Retinomorphic sensor before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Retinomorphic sensor ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Retinomorphic sensor

In research
Retinomorphic sensor appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Retinomorphic sensor in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Retinomorphic sensor is common in secondary-school and first-year university syllabi. It links to neighbouring topics Image sensors, Semiconductors, Sensors, so understanding it makes those chapters shorter.
In everyday life
Look for Retinomorphic sensor outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Retinomorphic sensor in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Retinomorphic sensor means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Retinomorphic sensor out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Retinomorphic sensor in simple terms?

Retinomorphic sensors are a type of event-driven optical sensor which produce a signal in response to changes in light intensity, rather than to light intensity itself. This is in contrast to conventional optical sensors such as charge coupled device (CCD) or complementary metal oxide semiconductor…

Why does Retinomorphic sensor matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Retinomorphic sensor?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Retinomorphic sensor.

Tags

  • Image sensors
  • Semiconductors
  • Sensors

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