ArticleslgStudy

biology

Summation (neurophysiology)

Summation (neurophysiology) is a biology 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 Summation (neurophysiology) rather than just read about it. In short: Summation, which includes both spatial summation and temporal summation, is the process that determines whether or not an action potential will be generated by the combined effects of excitatory and inhibitory signals, both from multiple simultaneous inputs (spatial summation), and from repeated inputs (temporal summation). Depending on the sum total of many individual inputs, summation may or may not reach the thre…

Summation (neurophysiology) — main illustration
Summation (neurophysiology) — illustration

Key takeaways

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

Reference excerpt

Summation, which includes both spatial summation and temporal summation, is the process that determines whether or not an action potential will be generated by the combined effects of excitatory and inhibitory signals, both from multiple simultaneous inputs (spatial summation), and from repeated inputs (temporal summation). Depending on the sum total of many individual inputs, summation may or may not reach the threshold voltage to trigger an action potential. Neurotransmitters released from the terminals of a presynaptic neuron fall under one of two categories, depending on the ion channels gated or modulated by the neurotransmitter receptor. Excitatory neurotransmitters produce depolarization of the postsynaptic cell, whereas the hyperpolarization produced by an inhibitory neurotransmitter will mitigate the effects of an excitatory neurotransmitter. This depolarization is called an EPSP, or an excitatory postsynaptic potential, and the hyperpolarization is called an IPSP, or an inhibitory postsynaptic potential. Older models of neurons treated them mostly as simple integrators that just add up signals without much going on. Dendrites change that picture a lot. Modern studies point out they are not passive at all. They act like active parts that handle computations on their own. It seems like through voltage-gated channels, they manage this nonlinear summation. That allows for some local processing right there in the dendrites. Signals do not even make it to the axon hillock until after that step. The idea is dendrites do real work before everything else kicks in. Traditional views missed how dynamic that is. The only influences that neurons can have on one another are excitation, inhibition, and—through modulatory transmitters—biasing one another's excitability. From such a small set of basic interactions, a chain of neurons can produce only a limited response. A pathway can be facilitated by excitatory input; removal of such input constitutes disfacillitation. A pathway may also be inhibited; removal of inhibitory input constitutes disinhibition, which, if other sources of excitation are present in the inhibitory input, can augment excitation.

History The nervous system first began to be encompassed within the scope of general physiological studies in the late 1800s, when Charles Sherrington began to test neurons' electrical properties. His main contributions to neurophysiology involved the study of the knee-jerk reflex and the inferences he made between the two reciprocal forces of excitation and inhibition. He postulated that the site where this modulatory response occurs is the intercellular space of a unidirectional pathway of neural circuits. He first introduced the possible role of evolution and neural inhibition with his suggestion that "higher centers of the brain inhibit the excitatory functions of the lower centers". Much of today's knowledge of chemical synaptic transmission was gleaned from experiments analyzing the effects of acetylcholine release at neuromuscular junctions, also called end plates. The pioneers in this area included Bernard Katz and Alan Hodgkin, who used the squid giant axon as an experimental model for the study of the nervous system. The relatively large size of the neurons allowed the use of finely-tipped electrodes to monitor the electrophysiological changes that fluctuate across the membrane. In 1941 Katz's implementation of microelectrodes in the gastrocnemius sciatic nerve of frogs' legs illuminated the field. It soon became generalized that the end-plate potential (EPP) alone is what triggers the muscle action potential, which is manifested through contractions of the frog legs. One of Katz's seminal findings, in studies carried out with Paul Fatt in 1951, was that spontaneous changes in the potential of muscle-cell membrane occur even without the stimulation of the presynaptic motor neuron. These spikes in potential are similar to action potentials except that they are much smaller, typically less than 1 mV; they were thus called miniature end plate potentials (MEPPs). In 1954, the introduction of the first electron microscopic images of postsynaptic terminals revealed that these MEPPs were created by synaptic vesicles carrying neurotransmitters. The sporadic nature of the release of quantal amounts of neurotransmitter led to the "vesicle hypothesis" of Katz and del Castillo, which attributes quantization of transmitter release to its association with synaptic vesicles. This also indicated to Katz that action potential generation can be triggered by the summation of these individual units, each equivalent to an MEPP.

Types

At any given moment, a neuron may receive postsynaptic potentials from thousands of other neurons. Whether threshold is reached, and an action potential generated, depends upon the spatial (i.e. from multiple neurons) and temporal (from a single neuron) summation of all inputs at that moment. It is traditionally thought that the closer a synapse is to the neuron's cell body, the greater its influence on the final summation. This is because postsynaptic potentials travel through dendrites which contain a low concentration of voltage-gated ion channels. Therefore, the postsynaptic potential attenuates by the time it reaches the neuron cell body. The neuron cell body acts as a computer by integrating (adding or summing up) the incoming potentials. The net potential is then transmitted to the axon hillock, where the action potential is initiated. Another factor that should be considered is the summation of excitatory and inhibitory synaptic inputs. The spatial summation of an inhibitory input will nullify an excitatory input. This widely observed effect is called inhibitory 'shunting' of EPSPs.

… excerpt ends here. Continue reading the full article.

Illustrations

Summation (neurophysiology): Basic ways that neurons can interact with each other when converting input to output
Basic ways that neurons can interact with each other when converting input to output
Summation (neurophysiology): Examples of spatial summation of signals on a neuron
Examples of spatial summation of signals on a neuron
Summation (neurophysiology): A diagram of temporal summation
A diagram of temporal summation

Worked examples

Example 1 — a first encounter with Summation (neurophysiology)

Start with the simplest possible case. Write down what Summation (neurophysiology) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Summation (neurophysiology) 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 Summation (neurophysiology) 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 Summation (neurophysiology)

In research
Summation (neurophysiology) appears in biology 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 Summation (neurophysiology) 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
Summation (neurophysiology) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Neurophysiology, so understanding it makes those chapters shorter.
In everyday life
Look for Summation (neurophysiology) 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.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Summation (neurophysiology)” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Summation (neurophysiology) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Summation (neurophysiology) 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 Summation (neurophysiology) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Summation (neurophysiology) in simple terms?

Summation, which includes both spatial summation and temporal summation, is the process that determines whether or not an action potential will be generated by the combined effects of excitatory and inhibitory signals, both from multiple simultaneous inputs (spatial summation), and from repeated in…

Why does Summation (neurophysiology) matter?

Because it connects several biology 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 Summation (neurophysiology)?

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 Summation (neurophysiology).

Tags

  • Neurophysiology

Keep exploring