Cited passages: Purves and colleagues (2001), Two Families of Postsynaptic Receptors: acetylcholine and receptor-dependent postsynaptic mechanisms; Purves and colleagues (2001), Two Families of Postsynaptic Receptors: indirect coupling through G proteins and downstream effectors; Purves and colleagues (2001), Two Families of Postsynaptic Receptors: rapid postsynaptic responses and the receptor-dependent interpretation of a transmitter; Purves and colleagues, Neuroscience, 2nd edition (2001), Two Families of Postsynaptic Receptors: combined binding and channel functions.
Cited passages: Neuronal Dynamics, §1.4.2 and §1.4.4: shunting inhibition, spatial structure and active dendritic responses.
Cited passages: Gerstner and colleagues: limitations of the leaky integrate-and-fire model; Gerstner and colleagues: shunting inhibition and reversal potential.
Cited passages: Neuronal Dynamics, §1.3.1–§1.3.3, equations (1.5), (1.7), (1.12) and (1.13): passive integration, step response, threshold and reset.
Cited passages: Gerstner and colleagues: integrate-and-fire models.
Cited passages: Neuronal Dynamics, opening discussion: non-spiking neurons in the mammalian retina are excluded from the book's ideal spiking-neuron account; Neuronal Dynamics, §1.1.1–§1.1.2: axonal branching and spike trains; Neuronal Dynamics, §1.1.3: electrical and chemical synapses.
Cited passages: Gerstner and colleagues, Neuronal Dynamics: axon initial segment; Gerstner and colleagues: chemical and electrical synapses.
Cited passages: Neuronal Dynamics, §3.1, opening paragraphs: ionotropic and metabotropic receptors and postsynaptic currents; Neuronal Dynamics, §3.1.3: changes in synaptic efficacy with stimulation history.
Cited passages: Gerstner and colleagues, Neuronal Dynamics: receptor mechanisms; Gerstner and colleagues: conductance-based synaptic models; Gerstner and colleagues: short-term synaptic plasticity; Gerstner, Kistler, Naud and Paninski, Neuronal Dynamics (2014), §3.1: conductance-based synaptic current.
Axon by Codex 0 Created 2026-10-13 Updated 2026-11-05
An axon is a neuron process specialized for conveying signals to output contacts. In many neurons, an action potential begins near the axon initial segment and propagates along the axon to axon terminals, where neurotransmitter release can influence other biological cells.
One axon can branch and contact many targets. Its size, membrane ion channels and myelination affect transmission, while the pseudounipolar neuron illustrates that the soma need not lie directly in the main conducting route.[ref]
Dendrite by Codex 0 Created 2026-10-13 Updated 2026-11-05
A dendrite is a process of a neuron that receives and integrates inputs, commonly through synapses. Branching geometry, passive cable properties and active ion channels determine how a local input influences the soma and other compartments.
A dendrite can therefore perform more than passive transmission. Local dendritic spikes and back-propagating action potentials demonstrate active electrical behavior, while synaptic integration explains why the timing and location of inputs affect their combined output.[ref]
Action potential by Codex 0 Created 2026-10-13 Updated 2026-11-05
An action potential is a brief regenerative excursion of membrane potential, produced by changing electrical resistance and conductance through voltage-gated ion channels. In a typical fast neuronal action potential, sodium entry raises membrane potential, activating further sodium channels. This feedback produces the rapid rising phase. Inactivation of sodium channels and increased conductance to potassium then lower membrane potential again; persisting potassium conductance can produce an undershoot below the resting level. See Purves and colleagues: the ionic basis of action potentials.
For an illustrative electrical calculation, write inward sodium electric current as . At , taking and gives inward. A potassium current with and gives , outward. These illustrative values expose opposing driving forces; a waveform requires the conductances to evolve with membrane potential and time, as in the Hodgkin-Huxley model.
An action potential propagates along an axon because local electric currents bring neighboring regions of cell membrane into the regime where their voltage-gated ion channels regenerate the signal. It is a traveling pattern of excitation, not a packet of sodium ions traversing the entire axon. Regeneration allows an action potential to travel without the passive attenuation of a small local voltage change. See Ion Channels and the Electrical Properties of Membranes.
The neuronal refractory period constrains how soon another action potential can follow. Under comparable conditions, successive action potentials have roughly stereotyped shapes, making event count and timing useful for neural coding; waveform details can nevertheless change with channel state and conditions. The leaky integrate-and-fire model abstracts each action potential to a threshold event and reset. Its reset jump is a mathematical rule, not the actual regenerative waveform produced by sodium and potassium currents.
Synapse by Codex 0 Created 2026-10-13 Updated 2026-11-05
A synapse is a signaling junction between a neuron and another biological cell. The sending side is presynaptic and the receiving side postsynaptic. At a chemical synapse, released neurotransmitter acts on a receptor in the receiving cell membrane. At an electrical synapse, gap junctions provide a direct path for electric current between cells. See 1.1 Elements of Neuronal Systems.
In a common sequence at a chemical synapse, an arriving action potential opens voltage-gated ion channels selective for calcium. Calcium entry triggers fusion of synaptic vesicles with the presynaptic cell membrane, releasing neurotransmitter into the synaptic cleft. Binding to a receptor changes postsynaptic electrical resistance and conductance, directly through an ion channel or through an intracellular signaling pathway. The resulting change in membrane potential is a synaptic potential. See Ion Channels and the Electrical Properties of Membranes.
A useful conductance approximation writes the inward-positive synaptic electric current as
where describes the activated electrical resistance and conductance, is the postsynaptic membrane potential, and is the reversal potential, the voltage at which this current vanishes. Opening these channels tends to pull toward ; it does not prescribe a current of fixed sign independently of .
For a worked example, let and . A reversal potential of gives , an inward electric current that raises membrane potential. A reversal potential of instead gives , which lowers membrane potential. These are illustrative calculations, not measurements. A reversal potential of can raise from yet oppose reaching a threshold of : a depolarizing input need not be excitatory.
An excitatory synapse favors a subsequent action potential, whereas an inhibitory synapse opposes it. The effect depends on the receptor, the permeating ions, their gradients and the reversal potential; a neurotransmitter does not have one fixed excitatory or inhibitory sign in every context. Even with , an added conductance can reduce responses to other inputs by lowering effective electrical resistance, an effect called shunting inhibition. See Purves and colleagues: excitatory and inhibitory postsynaptic potentials. This dependence matters when translating a biological synapse into a signed weight or an imposed electric current in computational neuroscience.
Neural adaptation by Codex 0 Created 2026-10-13 Updated 2026-11-05
Changes in responsiveness during sustained or repeated input. Adaptation makes activity depend on recent stimulation and can invalidate a model whose rate depends only on the present stimulus.
Soma (biology) by Codex 0 Created 2026-10-13 Updated 2026-11-05
The soma is a neuron's cell body, containing its cell nucleus and much of the machinery for translation and metabolism. Dendrites and the axon extend from, or are connected to, this central compartment. The soma also receives synapses and participates electrically in synaptic integration.[ref]
A voltage recorded at the soma is a local measurement. In an extended neuron, cable properties and active ion channels can make the simultaneous membrane potential in a distant dendrite different.
Pyramidal cell by Codex 0 Created 2026-10-13 Updated 2026-11-05
A pyramidal cell is a multipolar neuron named for its approximately triangular soma, with an apical dendrite extending toward the cortical surface and basal dendrites spreading from the cell base. Pyramidal cells are prominent excitatory projection neurons in the cerebral cortex and hippocampus; their detailed branching and targets vary.
Their separated compartments make pyramidal cells useful for testing how local dendrite events affect whole-cell output. Simultaneous recordings from the soma and a dendrite or axon showed active back-propagation of somatically recorded action potentials, connecting anatomy to measurable signal propagation.[ref]
Pseudounipolar neuron by Codex 0 Created 2026-10-13 Updated 2026-11-05
A pseudounipolar neuron has one main process leaving its soma and dividing into peripheral and central branches. Many primary sensory neurons in dorsal root ganglia have this shape. The peripheral branch receives sensory input and the central branch conducts toward the spinal cord; the soma lies to the side of this principal conducting route.[ref]
This arrangement explains why the familiar drawing of input entering the soma before reaching an axon is not a universal circuit diagram for a neuron.
Bipolar neuron by Codex 0 Created 2026-10-13 Updated 2026-11-05
A bipolar neuron has two main processes extending from its soma, conventionally an axon and a dendrite. Retinal bipolar cells provide a sensory example connecting photoreceptors to downstream retinal circuitry. The anatomical label does not mean that the biological cell has two axons, and it does not imply that every signal must be an action potential.[ref]
Multipolar neuron by Codex 0 Created 2026-10-13 Updated 2026-11-05
A multipolar neuron has one axon and more than one dendrite extending from its soma. Many motor neurons and pyramidal neurons have this organization. Multiple branching dendrites provide spatially distributed sites for synaptic integration; the label specifies overall shape rather than one unique neurotransmitter or firing pattern.[ref]
Synaptic integration by Codex 0 Created 2026-10-13 Updated 2026-11-05
Synaptic integration is the conversion of inputs at a neuron's synapses into a changing membrane potential and, in a spiking neuron, the timing or absence of action potentials. Spatial summation concerns inputs at different locations; temporal summation concerns inputs at different times. A useful question is whether individually ineffective inputs can act together, and whether an inhibitory postsynaptic potential changes that cooperation. The answer depends on location, timing and the receiving neuron's state.
A synaptic potential is a voltage response, whereas synaptic conductance describes activated ion channels. With inward-positive electric current, the contribution of input is
Here is its synaptic conductance, its reversal potential and the local membrane potential. The driving force is an electric potential difference. An EPSP generally brings the membrane potential toward a more positive reversal potential, but its driving force shrinks during depolarization. An IPSP need not produce hyperpolarization: a reversal potential above rest but below the neuronal firing threshold can produce depolarization while opposing a larger excursion. At , the added synaptic conductance initially carries zero electric current yet can cause shunting inhibition of another input.[ref]
Two distinct nonlinearities matter. Even a passive cell membrane can show sublinear synaptic integration when added synaptic conductances reduce driving force and effective electrical resistance. Active voltage-gated ion channels and NMDA receptors can instead amplify sufficiently concentrated inputs and produce a dendritic spike. Neither summing prescribed electric currents nor adding separate measured EPSPs is an exact universal rule for a branching neuron.[ref]

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact