“Neuron”的意思、由来-开放百科全书

A neuron, also known as a neurone (British spelling) and nerve cell, is an electrically excitable cell^[1] that communicates with other cells via specialized connections called synapses. All multicellular organisms except sponges and Trichoplax have neurons. A neuron is the main component of nervous tissue.

Neurons fall into types. Sensory neurons respond to stimulus such as touch, sound, or light that affect the cells of the sensory organs and sends signals to the spinal cord or brain. Motor neurons receive signals from the brain and spinal cord to control everything from muscle contractions to glandular output. Interneurons connect neurons to other neurons within the same region of the brain or spinal cord in neural networks.

A typical neuron consists of a cell body (soma), dendrites, and a single axon. The soma is usually compact. The axon and dendrites are filaments that extrude from it. Dendrites typically branch profusely, getting thinner with each branching, and extending a few hundred micrometers from the soma. The axon leaves the soma at a swelling called the axon hillock, and travels for as far as 1 meter in humans or more in other species. It also branches, but usually maintains a constant diameter. Neurons can lack dendrites, or have no axon. An en passant bouton is a type of terminal located along the length of the axon. The term neurite is used to describe either a dendrite or an axon, particularly in its undifferentiated stage.

Most neurons receive signals via the dendrites and soma and send out signals down the axon. At the majority of synapses, signals cross from the axon of one neuron to a dendrite of another. However, synapses can connect an axon to another axon or a dendrite to another dendrite.

The signaling process is partly electrical and partly chemical. Neurons are electrically excitable, due to maintenance of voltage gradients across their membranes. If the voltage changes by a large enough amount over a short interval, the neuron generates an all-or-nothing electrochemical pulse called an action potential. This potential travels rapidly along the axon, and activates synaptic connections as it reaches them. Synaptic signals may be excitatory or inhibitory, increasing or reducing the net voltage that reaches the soma.

In most cases, neurons are generated by neural stem cells during brain development and childhood.Neurogenesis largely ceases during adulthood in most areas of the brain. However, strong evidence supports generation of substantial numbers of new neurons in the hippocampus and olfactory bulb.^[2]^[3]

Nervous system

Neurons are the primary components of the nervous system, along with the glial cells that give them structural and metabolic support. The nervous system is made up of the central nervous system, which includes the brain and spinal cord, and the peripheral nervous system, which includes the autonomic and somatic nervous systems. In vertebrates, the majority of neurons belong to the central nervous system, but some reside in peripheral ganglia, and many sensory neurons are situated in sensory organs such as the retina and cochlea.

Axons may bundle into fascicles that make up the nerves in the peripheral nervous system (like strands of wire make up cables). Bundles of axons in the central nervous system are called tracts.

Anatomy and histology

The accepted view of the neuron attributes dedicated functions to its various anatomical components; however, dendrites and axons often act in ways contrary to their so-called main function.

Axons and dendrites in the central nervous system are typically only about one micrometer thick, while some in the peripheral nervous system are much thicker. The soma is usually about 10–25 micrometers in diameter and often is not much larger than the cell nucleus it contains. The longest axon of a human motor neuron can be over a meter long, reaching from the base of the spine to the toes.

Sensory neurons can have axons that run from the toes to the posterior column of the spinal cord, over 1.5 meters in adults. Giraffes have single axons several meters in length running along the entire length of their necks. Much of what is known about axonal function comes from studying the squid giant axon, an ideal experimental preparation because of its relatively immense size (0.5–1 millimeters thick, several centimeters long).

Fully differentiated neurons are permanently postmitotic^[6] however, stem cells present in the adult brain may regenerate functional neurons throughout the life of an organism (see neurogenesis). Astrocytes are star-shaped glial cells. They have been observed to turn into neurons by virtue of the stem cell characteristic pluripotency.

Membrane

Like all animal cells, the cell body of every neuron is enclosed by a plasma membrane, a bilayer of lipid molecules with many types of protein structures embedded in it. A lipid bilayer is a powerful electrical insulator, but in neurons, many of the protein structures embedded in the membrane are electrically active. These include ion channels that permit electrically charged ions to flow across the membrane and ion pumps that chemically transport ions from one side of the membrane to the other. Most ion channels are permeable only to specific types of ions. Some ion channels are voltage gated, meaning that they can be switched between open and closed states by altering the voltage difference across the membrane. Others are chemically gated, meaning that they can be switched between open and closed states by interactions with chemicals that diffuse through the extracellular fluid. The ion materials include sodium, potassium, chloride, and calcium.The interactions between ion channels and ion pumps produce a voltage difference across the membrane, typically a bit less than 1/10 of a volt at baseline. This voltage has two functions: first, it provides a power source for an assortment of voltage-dependent protein machinery that is embedded in the membrane; second, it provides a basis for electrical signal transmission between different parts of the membrane.

Histology and internal structure

Numerous microscopic clumps called Nissl bodies (or Nissl substance) are seen when nerve cell bodies are stained with a basophilic ("base-loving") dye. These structures consist of rough endoplasmic reticulum and associated ribosomal RNA. Named after German psychiatrist and neuropathologist Franz Nissl (1860–1919), they are involved in protein synthesis and their prominence can be explained by the fact that nerve cells are very metabolically active. Basophilic dyes such as aniline or (weakly) haematoxylin ^[7] highlight negatively charged components, and so bind to the phosphate backbone of the ribosomal RNA.

The cell body of a neuron is supported by a complex mesh of structural proteins called neurofilaments, which together with neurotubules (neuronal microtubules) are assembled into larger neurofibrils.^[8] Some neurons also contain pigment granules, such as neuromelanin (a brownish-black pigment that is byproduct of synthesis of catecholamines), and lipofuscin (a yellowish-brown pigment), both of which accumulate with age.^[9]^[10]^[11] Other structural proteins that are important for neuronal function are actin and the tubulin of microtubules. Actin is predominately found at the tips of axons and dendrites during neuronal development. There the actin dynamics can be modulated via an interplay with microtubule.^[12]

There are different internal structural characteristics between axons and dendrites. Typical axons almost never contain ribosomes, except some in the initial segment. Dendrites contain granular endoplasmic reticulum or ribosomes, in diminishing amounts as the distance from the cell body increases.

Classification

Neurons vary in shape and size and can be classified by their morphology and function.^[14] The anatomist Camillo Golgi grouped neurons into two types; type I with long axons used to move signals over long distances and type II with short axons, which can often be confused with dendrites. Type I cells can be further classified by the location of the soma. The basic morphology of type I neurons, represented by spinal motor neurons, consists of a cell body called the soma and a long thin axon covered by a myelin sheath. The dendritic tree wraps around the cell body and receives signals from other neurons. The end of the axon has branching terminals (axon terminal) that release neurotransmitters into a gap called the synaptic cleft between the terminals and the dendrites of the next neuron.

Structural classification

Polarity

Other

Some unique neuronal types can be identified according to their location in the nervous system and distinct shape. Some examples are:

Functional classification

Direction

Afferent and efferent also refer generally to neurons that, respectively, bring information to or send information from the brain.

Action on other neurons

A neuron affects other neurons by releasing a neurotransmitter that binds to chemical receptors. The effect upon the postsynaptic neuron is determined by the type of receptor that is activated, not by the presynaptic neuron or by the neurotransmitter. A neurotransmitter can be thought of as a key, and a receptor as a lock: the same neurotransmitter can activate multiple types of receptors. Receptors can be classified broadly as excitatory (causing an increase in firing rate), inhibitory (causing a decrease in firing rate), or modulatory (causing long-lasting effects not directly related to firing rate).

The two most common (90%+) neurotransmitters in the brain, glutamate and GABA, have largely consistent actions. Glutamate acts on several types of receptors, and has effects that are excitatory at ionotropic receptors and a modulatory effect at metabotropic receptors. Similarly, GABA acts on several types of receptors, but all of them have inhibitory effects (in adult animals, at least). Because of this consistency, it is common for neuroscientists to refer to cells that release glutamate as "excitatory neurons", and cells that release GABA as "inhibitory neurons". Some other types of neurons have consistent effects, for example, "excitatory" motor neurons in the spinal cord that release acetylcholine, and "inhibitory" spinal neurons that release glycine.

The distinction between excitatory and inhibitory neurotransmitters is not absolute. Rather, it depends on the class of chemical receptors present on the postsynaptic neuron. In principle, a single neuron, releasing a single neurotransmitter, can have excitatory effects on some targets, inhibitory effects on others, and modulatory effects on others still. For example, photoreceptor cells in the retina constantly release the neurotransmitter glutamate in the absence of light. So-called OFF bipolar cells are, like most neurons, excited by the released glutamate. However, neighboring target neurons called ON bipolar cells are instead inhibited by glutamate, because they lack typical ionotropic glutamate receptors and instead express a class of inhibitory metabotropic glutamate receptors.^[15] When light is present, the photoreceptors cease releasing glutamate, which relieves the ON bipolar cells from inhibition, activating them; this simultaneously removes the excitation from the OFF bipolar cells, silencing them.

It is possible to identify the type of inhibitory effect a presynaptic neuron will have on a postsynaptic neuron, based on the proteins the presynaptic neuron expresses. Parvalbumin-expressing neurons typically dampen the output signal of the postsynaptic neuron in the visual cortex, whereas somatostatin-expressing neurons typically block dendritic inputs to the postsynaptic neuron.^[16]

Discharge patterns

Neurons have intrinsic electroresponsive properties like intrinsic transmembrane voltage oscillatory patterns.^[17] So neurons can be classified according to their electrophysiological characteristics:

Neurotransmitter

Connectivity

Neurons communicate with each another via synapses, where either the axon terminal of one cell contacts another neuron's dendrite, soma or, less commonly, axon. Neurons such as Purkinje cells in the cerebellum can have over 1000 dendritic branches, making connections with tens of thousands of other cells; other neurons, such as the magnocellular neurons of the supraoptic nucleus, have only one or two dendrites, each of which receives thousands of synapses.

Synapses can be excitatory or inhibitory, either increasing or decreasing activity in the target neuron, respectively. Some neurons also communicate via electrical synapses, which are direct, electrically conductive junctions between cells.{{citation needed|date=September 2014}}

When an action potential reaches the axon terminal, it opens voltage-gated calcium channels, allowing calcium ions to enter the terminal. Calcium causes synaptic vesicles filled with neurotransmitter molecules to fuse with the membrane, releasing their contents into the synaptic cleft. The neurotransmitters diffuse across the synaptic cleft and activate receptors on the postsynaptic neuron. High cytosolic calcium in the axon terminal triggers mitochondrial calcium uptake, which, in turn, activates mitochondrial energy metabolism to produce ATP to support continuous neurotransmission.^[20]

The human brain has some 10¹¹ (one hundred billion) neurons with on average 7,000 synaptic connections to other neurons. It has been estimated that the brain of a three-year-old child has about 10¹⁵ synapses (1 quadrillion). This number declines with age, stabilizing by adulthood. Estimates vary for an adult, ranging from 10¹⁴ to 5 x 10¹⁴ synapses (100 to 500 trillion).^[21]

Mechanisms for propagating action potentials

In 1937 John Zachary Young suggested that the squid giant axon could be used to study neuronal electrical properties.^[22] It is larger than but similar to human neurons, making it easier to study. By inserting electrodes into the squid giant axons, accurate measurements were made of the membrane potential.

The cell membrane of the axon and soma contain voltage-gated ion channels that allow the neuron to generate and propagate an electrical signal (an action potential). Some neurons also generate subthreshold membrane potential oscillations. These signals are generated and propagated by charge-carrying ions including sodium (Na⁺), potassium (K⁺), chloride (Cl⁻), and calcium (Ca²⁺).

Several stimuli can activate a neuron leading to electrical activity, including pressure, stretch, chemical transmitters, and changes of the electric potential across the cell membrane.^[23] Stimuli cause specific ion-channels within the cell membrane to open, leading to a flow of ions through the cell membrane, changing the membrane potential. Neurons must maintain the specific electrical properties that define their neuron type.^[24]

Thin neurons and axons require less metabolic expense to produce and carry action potentials, but thicker axons convey impulses more rapidly. To minimize metabolic expense while maintaining rapid conduction, many neurons have insulating sheaths of myelin around their axons. The sheaths are formed by glial cells: oligodendrocytes in the central nervous system and Schwann cells in the peripheral nervous system. The sheath enables action potentials to travel faster than in unmyelinated axons of the same diameter, whilst using less energy. The myelin sheath in peripheral nerves normally runs along the axon in sections about 1 mm long, punctuated by unsheathed nodes of Ranvier, which contain a high density of voltage-gated ion channels. Multiple sclerosis is a neurological disorder that results from demyelination of axons in the central nervous system.

Some neurons do not generate action potentials, but instead generate a graded electrical signal, which in turn causes graded neurotransmitter release. Such non-spiking neurons tend to be sensory neurons or interneurons, because they cannot carry signals long distances.

Neural coding

All-or-none principle

The conduction of nerve impulses is an example of an all-or-none response. In other words, if a neuron responds at all, then it must respond completely. Greater intensity of stimulation does not produce a stronger signal, but can increase firing frequency. Receptors respond in different ways to stimuli. Slowly adapting or tonic receptors respond to steady stimulus and produce a steady rate of firing. Tonic receptors most often respond to increased intensity of stimulus by increasing their firing frequency, usually as a power function of stimulus plotted against impulses per second. This can be likened to an intrinsic property of light where greater intensity of a specific frequency (color) requires more photons, as the photons can't become "stronger" for a specific frequency.

Other receptor types include quickly adapting or phasic receptors, where firing decreases or stops with steady stimulus; examples include skin which, when touched causes neurons to fire, but if the object maintains even pressure, the neurons stop firing. The neurons of the skin and muscles that are responsive to pressure and vibration have filtering accessory structures that aid their function.

The pacinian corpuscle is one such structure. It has concentric layers like an onion, which form around the axon terminal. When pressure is applied and the corpuscle is deformed, mechanical stimulus is transferred to the axon, which fires. If the pressure is steady, stimulus ends; thus, typically these neurons respond with a transient depolarization during the initial deformation and again when the pressure is removed, which causes the corpuscle to change shape again. Other types of adaptation are important in extending the function of a number of other neurons.^[27]

History

The neuron's place as the primary functional unit of the nervous system was first recognized in the late 19th century through the work of the Spanish anatomist Santiago Ramón y Cajal.^[28]

To make the structure of individual neurons visible, Ramón y Cajal improved a silver staining process that had been developed by Camillo Golgi.^[28] The improved process involves a technique called "double impregnation" and is still in use.

In 1888 Ramón y Cajal published a paper about the bird cerebellum. In this paper, he stated that he could not find evidence for anastomosis between axons and dendrites and called each nervous element "an absolutely autonomous canton."^[28]^[29] This became known as the neuron doctrine, one of the central tenets of modern neuroscience.^[28]

In 1891 German anatomist Heinrich Wilhelm Waldeyer wrote a highly influential review about the neuron doctrine in which he introduced the term neuron to describe the anatomical and physiological unit of the nervous system.^[30]^[31]

The silver impregnation stains are a useful method for neuroanatomical investigations because, for reasons unknown, it stains only a small percentage of cells in a tissue, exposing the complete micro structure of individual neurons without much overlap from other cells.^[32]

Neuron doctrine

The neuron doctrine is the now fundamental idea that neurons are the basic structural and functional units of the nervous system. The theory was put forward by Santiago Ramón y Cajal in the late 19th century. It held that neurons are discrete cells (not connected in a meshwork), acting as metabolically distinct units.

Later discoveries yielded refinements to the doctrine. For example, glial cells, which are not considered neurons, play an essential role in information processing.^[33] Also, electrical synapses are more common than previously thought,^[34] comprising direct, cytoplasmic connections between neurons. In fact, neurons can form even tighter couplings: the squid giant axon arises from the fusion of multiple axons.^[35]

Ramón y Cajal also postulated the Law of Dynamic Polarization, which states that a neuron receives signals at its dendrites and cell body and transmits them, as action potentials, along the axon in one direction: away from the cell body.^[36] The Law of Dynamic Polarization has important exceptions; dendrites can serve as synaptic output sites of neurons^[37] and axons can receive synaptic inputs.^[38]

Neurons in the brain

The number of neurons in the brain varies dramatically from species to species.^[39] In a human, there are an estimated 10–20 billion neurons in the cerebral cortex and 55–70 billion neurons in the cerebellum.^[40] By contrast, the nematode worm Caenorhabditis elegans has just 302 neurons, making it an ideal model organism as scientists have been able to map all of its neurons. The fruit fly Drosophila melanogaster, a common subject in biological experiments, has around 100,000 neurons and exhibits many complex behaviors. Many properties of neurons, from the type of neurotransmitters used to ion channel composition, are maintained across species, allowing scientists to study processes occurring in more complex organisms in much simpler experimental systems.

Neurological disorders

Parkinson's disease (PD), also known as Parkinson disease, is a degenerative disorder of the central nervous system that often impairs motor skills and speech.^[45] Parkinson's disease belongs to a group of conditions called movement disorders.^[46] It is characterized by muscle rigidity, tremor, a slowing of physical movement (bradykinesia), and in extreme cases, a loss of physical movement (akinesia). The primary symptoms are the results of decreased stimulation of the motor cortex by the basal ganglia, normally caused by the insufficient formation and action of dopamine, which is produced in the dopaminergic neurons of the brain. Secondary symptoms may include high level cognitive dysfunction and subtle language problems. PD is both chronic and progressive.

Myasthenia gravis is a neuromuscular disease leading to fluctuating muscle weakness and fatigability during simple activities. Weakness is typically caused by circulating antibodies that block acetylcholine receptors at the post-synaptic neuromuscular junction, inhibiting the stimulative effect of the neurotransmitter acetylcholine. Myasthenia is treated with immunosuppressants, cholinesterase inhibitors and, in selected cases, thymectomy.

Demyelination

Demyelination is the act of demyelinating, or the loss of the myelin sheath insulating the nerves. When myelin degrades, conduction of signals along the nerve can be impaired or lost, and the nerve eventually withers. This leads to certain neurodegenerative disorders like multiple sclerosis and chronic inflammatory demyelinating polyneuropathy.

Axonal degeneration

Although most injury responses include a calcium influx signaling to promote resealing of severed parts, axonal injuries initially lead to acute axonal degeneration, which is rapid separation of the proximal and distal ends within 30 minutes of injury. Degeneration follows with swelling of the axolemma, and eventually leads to bead like formation. Granular disintegration of the axonal cytoskeleton and inner organelles occurs after axolemma degradation. Early changes include accumulation of mitochondria in the paranodal regions at the site of injury. Endoplasmic reticulum degrades and mitochondria swell up and eventually disintegrate. The disintegration is dependent on ubiquitin and calpain proteases (caused by influx of calcium ion), suggesting that axonal degeneration is an active process that produces complete fragmentation. The process takes about roughly 24 hrs in the PNS and longer in the CNS. The signaling pathways leading to axolemma degeneration are unknown.

Neurogenesis

Neurons are born through the process of neurogenesis, in which neural stem cells divide to produce differentiated neurons. Once fully differentiated neurons are formed, they are no longer capable of undergoing mitosis. Neurogenesis primarily occurs in the embryo of most organisms.

The body contains a variety of stem cell types that have the capacity to differentiate into neurons. Researchers found a way to transform human skin cells into nerve cells using transdifferentiation, in which "cells are forced to adopt new identities".^[49]

Nerve regeneration

Peripheral axons can regrow if they are severed,^[50] but one neuron cannot be functionally replaced by one of another type (Llinás' law).^[17]

See also

References

1. ^{{cite journal|vauthors=Rutecki PA|date=April 1992|title=Neuronal excitability: voltage-dependent currents and synaptic transmission|journal=Journal of Clinical Neurophysiology|volume=9|issue=2|pages=195–211|doi=10.1097/00004691-199204010-00003|pmid=1375602}}
2. ^{{cite news| url=https://www.nytimes.com/1999/10/15/us/brain-may-grow-new-cells-daily.html | work=The New York Times | first=Nicholas | last=Wade | title=Brain may grow new cells daily| date=1999-10-15}}
3. ^¹{{cite journal | vauthors = Nowakowski RS | title = Stable neuron numbers from cradle to grave | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 103 | issue = 33 | pages = 12219–20 | date = August 2006 | pmid = 16894140 | pmc = 1567859 | doi = 10.1073/pnas.0605605103 | bibcode = 2006PNAS..10312219N }}
4. ^{{cite web |first = Melissa |last = Davies |title = The Neuron: size comparison |url = https://www.ualberta.ca/~neuro/OnlineIntro/NeuronExample.htm |work = Neuroscience: A journey through the brain |date = 2002-04-09 |access-date = 2009-06-20}}
5. ^{{cite web |first = Eric H. |last = Chudler | name-list-format = vanc |title = Brain Facts and Figures |url = http://faculty.washington.edu/chudler/facts.html |work = Neuroscience for Kids |access-date = 2009-06-20 }}
6. ^{{cite journal | vauthors = Herrup K, Yang Y | title = Cell cycle regulation in the postmitotic neuron: oxymoron or new biology? | journal = Nature Reviews. Neuroscience | volume = 8 | issue = 5 | pages = 368–78 | date = May 2007 | pmid = 17453017 | doi = 10.1038/nrn2124 }}
7. ^{{cite book|title=State Hospitals Bulletin|url={{google books |plainurl=y |id=Wp8CAAAAYAAJ|page=378}}|year=1897|publisher=State Commission in Lunacy.|page=378}}
8. ^{{cite web |title=Medical Definition of Neurotubules |url=https://www.merriam-webster.com/medical/neurotubules |website=www.merriam-webster.com}}
9. ^{{cite journal | vauthors = Zecca L, Gallorini M, Schünemann V, Trautwein AX, Gerlach M, Riederer P, Vezzoni P, Tampellini D | title = Iron, neuromelanin and ferritin content in the substantia nigra of normal subjects at different ages: consequences for iron storage and neurodegenerative processes | journal = Journal of Neurochemistry | volume = 76 | issue = 6 | pages = 1766–73 | date = March 2001 | pmid = 11259494 | doi = 10.1046/j.1471-4159.2001.00186.x | bibcode = 2006JNeur..26.9606G }}
10. ^{{cite journal | vauthors = Herrero MT, Hirsch EC, Kastner A, Luquin MR, Javoy-Agid F, Gonzalo LM, Obeso JA, Agid Y | title = Neuromelanin accumulation with age in catecholaminergic neurons from Macaca fascicularis brainstem | journal = Developmental Neuroscience | volume = 15 | issue = 1 | pages = 37–48 | date = 1993 | pmid = 7505739 | doi = 10.1159/000111315 }}
11. ^{{cite journal | vauthors = Brunk UT, Terman A | title = Lipofuscin: mechanisms of age-related accumulation and influence on cell function | journal = Free Radical Biology & Medicine | volume = 33 | issue = 5 | pages = 611–9 | date = September 2002 | pmid = 12208347 | doi = 10.1016/s0891-5849(02)00959-0 }}
12. ^{{cite journal | vauthors = Zhao B, Meka DP, Scharrenberg R, König T, Schwanke B, Kobler O, Windhorst S, Kreutz MR, Mikhaylova M, Calderon de Anda F | title = Microtubules Modulate F-actin Dynamics during Neuronal Polarization | journal = Scientific Reports | volume = 7 | issue = 1 | pages = 9583 | date = August 2017 | pmid = 28851982 | pmc = 5575062 | doi = 10.1038/s41598-017-09832-8 | bibcode = 2017NatSR...7.9583Z }}
13. ^{{cite journal | vauthors = Lee WC, Huang H, Feng G, Sanes JR, Brown EN, So PT, Nedivi E | title = Dynamic remodeling of dendritic arbors in GABAergic interneurons of adult visual cortex | journal = PLoS Biology | volume = 4 | issue = 2 | pages = e29 | date = February 2006 | pmid = 16366735 | pmc = 1318477 | doi = 10.1371/journal.pbio.0040029 }} {{open access}}
14. ^{{cite book|last=Al|first=Martini, Frederic Et|title=Anatomy and Physiology' 2007 Ed.2007 Edition|url={{google books |plainurl=y |id=joJb82gVsLoC|page=288}}|publisher=Rex Bookstore, Inc.|isbn=978-971-23-4807-5|pages=288}}
15. ^{{cite journal | vauthors = Gerber U | title = Metabotropic glutamate receptors in vertebrate retina | journal = Documenta Ophthalmologica. Advances in Ophthalmology | volume = 106 | issue = 1 | pages = 83–7 | date = January 2003 | pmid = 12675489 | doi = 10.1023/A:1022477203420 | url = http://www.springerlink.com/content/m748132506x00lm4/ }}
16. ^{{cite journal | vauthors = Wilson NR, Runyan CA, Wang FL, Sur M | title = Division and subtraction by distinct cortical inhibitory networks in vivo | journal = Nature | volume = 488 | issue = 7411 | pages = 343–8 | date = August 2012 | pmid = 22878717 | pmc = 3653570 | doi = 10.1038/nature11347 | bibcode = 2012Natur.488..343W | hdl = 1721.1/92709 }}
17. ^¹{{cite journal | vauthors = Llinás RR | title = Intrinsic electrical properties of mammalian neurons and CNS function: a historical perspective | journal = Frontiers in Cellular Neuroscience | volume = 8 | pages = 320 | date = 2014-01-01 | pmid = 25408634 | pmc = 4219458 | doi = 10.3389/fncel.2014.00320 }}
18. ^{{cite conference | title = Ion conductances related to shaping the repetitive firing in rat retinal ganglion cells | vauthors = Kolodin YO, Veselovskaia NN, Veselovsky NS, Fedulova SA | conference = Acta Physiologica Congress | url = http://www.blackwellpublishing.com/aphmeeting/abstract.asp?MeetingID=&id=61198 }}
19. ^{{cite web|url=http://ykolodin.50webs.com/ |title=Ionic conductances underlying excitability in tonically firing retinal ganglion cells of adult rat |publisher=Ykolodin.50webs.com |date=2008-04-27 |access-date=2013-02-16}}
20. ^{{cite journal | vauthors = Ivannikov MV, Macleod GT | title = Mitochondrial free Ca²⁺ levels and their effects on energy metabolism in Drosophila motor nerve terminals | journal = Biophysical Journal | volume = 104 | issue = 11 | pages = 2353–61 | date = June 2013 | pmid = 23746507 | pmc = 3672877 | doi = 10.1016/j.bpj.2013.03.064 | bibcode = 2013BpJ...104.2353I }}
21. ^{{cite journal | vauthors = Drachman DA | title = Do we have brain to spare? | journal = Neurology | volume = 64 | issue = 12 | pages = 2004–5 | date = June 2005 | pmid = 15985565 | doi = 10.1212/01.WNL.0000166914.38327.BB }}
22. ^{{cite web |first = Eric H. |last = Chudler | name-list-format = vanc |title = Milestones in Neuroscience Research |url = http://faculty.washington.edu/chudler/hist.html |work = Neuroscience for Kids |access-date = 2009-06-20}}
23. ^{{cite web|first1=Joe |last1=Patlak |first2=Ray |last2=Gibbons | name-list-format = vanc |title=Electrical Activity of Nerves |url=http://physioweb.med.uvm.edu/cardiacep/EP/nervecells.htm |work=Action Potentials in Nerve Cells |date=2000-11-01 |access-date=2009-06-20 |deadurl=yes |archive-url=https://web.archive.org/web/20090827220335/http://physioweb.med.uvm.edu/cardiacep/EP/nervecells.htm |archive-date=August 27, 2009 }}
24. ^{{cite journal |last1=Harris-Warrick |first1=RM |title=Neuromodulation and flexibility in Central Pattern Generator networks. |journal=Current Opinion in Neurobiology |date=October 2011 |volume=21 |issue=5 |pages=685–92 |doi=10.1016/j.conb.2011.05.011 |pmid=21646013|pmc=3171584 }}
25. ^{{cite journal | vauthors = Brown EN, Kass RE, Mitra PP | title = Multiple neural spike train data analysis: state-of-the-art and future challenges | journal = Nature Neuroscience | volume = 7 | issue = 5 | pages = 456–61 | date = May 2004 | pmid = 15114358 | doi = 10.1038/nn1228 }}
26. ^{{Cite book|url={{google books |plainurl=y |id=boBqAAAAMAAJ}}|title=Parallel processing in neural systems and computers|editor-last=Eckmiller|editor-first=Rolf|editor-last2=Hartmann|editor-first2=Georg|editor-last3=Hauske|editor-first3=Gert|date=1990|publisher=North-Holland|isbn=9780444883902|language=en|last=Thorpe |first=SJ |chapter-url= https://web.archive.org/web/20120215151304/http://pop.cerco.ups-tlse.fr/fr_vers/documents/thorpe_sj_90_91.pdf |chapter=Spike arrival times: A highly efficient coding scheme for neural networks|pp= 91–94}}
27. ^{{cite book | last1 = Eckert | first1 = Roger | last2 = Randall | first2 = David | name-list-format = vanc | title=Animal physiology: mechanisms and adaptations | year=1983 | publisher=W.H. Freeman | location=San Francisco | isbn=978-0-7167-1423-1 | page=239}}
28. ^¹²³{{cite journal | vauthors = López-Muñoz F, Boya J, Alamo C | title = Neuron theory, the cornerstone of neuroscience, on the centenary of the Nobel Prize award to Santiago Ramón y Cajal | journal = Brain Research Bulletin | volume = 70 | issue = 4–6 | pages = 391–405 | date = October 2006 | pmid = 17027775 | doi = 10.1016/j.brainresbull.2006.07.010 }}
29. ^{{harvnb|Finger|1994|p=47}} "Ramon y Cajal's first paper on the Golgi stain was on the bird cerebellum, and it appeared in the Revista in 1888. He acknowledged that he found the nerve fibers to be very intricate, but stated that he could find no evidence for either axons or dendrites undergoing anastomosis and forming nets. He called each nervous element "an absolutely autonomous canton.'"}}
30. ^{{harvnb|Finger|1994|p=47}} "... a man who would write a highly influential review of the evidence in favor of the neuron doctrine two years later. In his paper, Waldeyer (1891), ... , wrote that nerve cells terminate freely with end arborizations and that the "neuron" is the anatomical and physiological unit of the nervous system. The word 'neuron' was born this way."
31. ^{{cite web|url=http://www.whonamedit.com/doctor.cfm/1846.html|title=Whonamedit - dictionary of medical eponyms|website=www.whonamedit.com|quote=Today, Wilhelm von Waldeyer-Hartz is remembered as the founder of the neurone theory, coining the term "neurone" to describe the cellular function unit of the nervous system and enunciating and clarifying that concept in 1891.}}
32. ^{{cite journal | vauthors = Grant G | title = How the 1906 Nobel Prize in Physiology or Medicine was shared between Golgi and Cajal | journal = Brain Research Reviews | volume = 55 | issue = 2 | pages = 490–8 | date = October 2007 | pmid = 17306375 | doi = 10.1016/j.brainresrev.2006.11.004 }}
33. ^{{cite journal | vauthors = Witcher MR, Kirov SA, Harris KM | title = Plasticity of perisynaptic astroglia during synaptogenesis in the mature rat hippocampus | journal = Glia | volume = 55 | issue = 1 | pages = 13–23 | date = January 2007 | pmid = 17001633 | doi = 10.1002/glia.20415 | citeseerx = 10.1.1.598.7002 }}
34. ^{{cite journal | vauthors = Connors BW, Long MA | title = Electrical synapses in the mammalian brain | journal = Annual Review of Neuroscience | volume = 27 | issue = 1 | pages = 393–418 | year = 2004 | pmid = 15217338 | doi = 10.1146/annurev.neuro.26.041002.131128 }}
35. ^{{cite journal | vauthors = Guillery RW | title = Observations of synaptic structures: origins of the neuron doctrine and its current status | journal = Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences | volume = 360 | issue = 1458 | pages = 1281–307 | date = June 2005 | pmid = 16147523 | pmc = 1569502 | doi = 10.1098/rstb.2003.1459 }}
36. ^Sabbatini R.M.E. April–July 2003. Neurons and Synapses: The History of Its Discovery. Brain & Mind Magazine, 17. Retrieved March 19, 2007.
37. ^{{cite journal | vauthors = Djurisic M, Antic S, Chen WR, Zecevic D | title = Voltage imaging from dendrites of mitral cells: EPSP attenuation and spike trigger zones | journal = The Journal of Neuroscience | volume = 24 | issue = 30 | pages = 6703–14 | date = July 2004 | pmid = 15282273 | doi = 10.1523/JNEUROSCI.0307-04.2004 }}
38. ^{{cite journal | vauthors = Cochilla AJ, Alford S | title = Glutamate receptor-mediated synaptic excitation in axons of the lamprey | journal = The Journal of Physiology | volume = 499 ( Pt 2) | issue = Pt 2 | pages = 443–57 | date = March 1997 | pmid = 9080373 | pmc = 1159318 | doi = 10.1113/jphysiol.1997.sp021940 }}
39. ^{{cite journal | vauthors = Williams RW, Herrup K | title = The control of neuron number | journal = Annual Review of Neuroscience | volume = 11 | issue = 1 | pages = 423–53 | year = 1988 | pmid = 3284447 | doi = 10.1146/annurev.ne.11.030188.002231 }}
40. ^¹{{cite journal | vauthors = von Bartheld CS, Bahney J, Herculano-Houzel S | title = The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting | journal = The Journal of Comparative Neurology | volume = 524 | issue = 18 | pages = 3865–3895 | date = December 2016 | pmid = 27187682 | pmc = 5063692 | doi = 10.1002/cne.24040 }}
41. ^{{cite journal | vauthors = Krajewski KM, Lewis RA, Fuerst DR, Turansky C, Hinderer SR, Garbern J, Kamholz J, Shy ME | title = Neurological dysfunction and axonal degeneration in Charcot-Marie-Tooth disease type 1A | journal = Brain | volume = 123 ( Pt 7) | issue = 7 | pages = 1516–27 | date = July 2000 | pmid = 10869062 | doi = 10.1093/brain/123.7.1516 }}
42. ^{{cite web|title=About Alzheimer's Disease: Symptoms|url=http://www.nia.nih.gov/alzheimers/topics/symptoms|publisher=National Institute on Aging|access-date=28 December 2011|deadurl=no|archive-url=https://web.archive.org/web/20120115201854/http://www.nia.nih.gov/alzheimers/topics/symptoms|archive-date=15 January 2012|df=dmy-all}}
43. ^{{cite journal | vauthors = Burns A, Iliffe S | title = Alzheimer's disease | journal = BMJ | volume = 338 | pages = b158 | date = February 2009 | pmid = 19196745 | doi = 10.1136/bmj.b158 | subscription = yes }}
44. ^{{cite journal | vauthors = Querfurth HW, LaFerla FM | title = Alzheimer's disease | journal = The New England Journal of Medicine | volume = 362 | issue = 4 | pages = 329–44 | date = January 2010 | pmid = 20107219 | doi = 10.1056/NEJMra0909142 }}
45. ^{{cite web|title=Parkinson's Disease Information Page|url=https://www.ninds.nih.gov/Disorders/All-Disorders/Parkinsons-Disease-Information-Page|website=NINDS|access-date=18 July 2016|date=30 June 2016|deadurl=no|archive-url=https://web.archive.org/web/20170104201403/http://www.ninds.nih.gov/Disorders/All-Disorders/Parkinsons-Disease-Information-Page|archive-date=4 January 2017|df=dmy-all}}
46. ^{{cite web | title = Movement Disorders| url = http://www.neuromodulation.com/movement-disorders | work = The International Neuromodulation Society }}
47. ^{{Cite newspaper| last = Wadep | first = Nicholas | name-list-format = vanc |url=https://www.nytimes.com/1999/10/15/us/brain-may-grow-new-cells-daily.html |title=Brain may grow new cells daily |journal=The New York Times |date=1999-10-15 |access-date=2013-02-16}}
48. ^{{cite journal | vauthors = Kempermann G, Gage FH, Aigner L, Song H, Curtis MA, Thuret S, Kuhn HG, Jessberger S, Frankland PW, Cameron HA, Gould E, Hen R, Abrous DN, Toni N, Schinder AF, Zhao X, Lucassen PJ, Frisén J | title = Human Adult Neurogenesis: Evidence and Remaining Questions | journal = Cell Stem Cell | volume = 23 | issue = 1 | pages = 25–30 | date = July 2018 | pmid = 29681514 | pmc = 6035081 | doi = 10.1016/j.stem.2018.04.004 }}
49. ^{{Cite journal |doi=10.1038/news.2011.328 | last = Callaway | first = Ewen |title= How to make a human neuron | journal = Nature |quote= By transforming cells from human skin into working nerve cells, researchers may have come up with a model for nervous-system diseases and perhaps even regenerative therapies based on cell transplants. The achievement, reported online today in Nature, is the latest in a fast-moving field called transdifferentiation, in which cells are forced to adopt new identities. In the past year, researchers have converted connective tissue cells found in skin into heart cells, blood cells, and liver cells. |date= 26 May 2011 }}
50. ^{{cite journal | vauthors = Yiu G, He Z | title = Glial inhibition of CNS axon regeneration | journal = Nature Reviews. Neuroscience | volume = 7 | issue = 8 | pages = 617–27 | date = August 2006 | pmid = 16858390 | pmc = 2693386 | doi = 10.1038/nrn1956 }}