Neuronal Signaling & Plasticity

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Abstractions about how neurons transmit signals and adapt over time, including synaptic transmission and its modulation (neurotransmission, inhibitory postsynaptic potential, spike-timing-dependent plasticity), structural and cellular support for signaling (myelination, axonal transport, dendritic integration), and models of learning and spatial representation in neural circuits (synaptic plasticity, place field, central pattern generator).

14 abstractions in this family — domain-specific abstractions that sit near one another in structural-signature space (k-means over structural-signature embeddings). Each is shown with its short description.

• Axonal Transport — Supply a neuron's remote, synthetically helpless synaptic terminals from its central soma via motor proteins walking microtubule tracks — kinesin outward, dynein inward — so a failure starves the terminal first, producing a distal dying-back signature.
• Central Pattern Generator — A localized neural circuit that produces structured rhythmic motor output — locomotion, breathing, chewing — from its own intrinsic membrane and synaptic properties, so sensory and descending signals are demoted from pacemakers to mere modulators.
• Dendritic Integration — Treat a single neuron not as a weighted-sum threshold unit but as a small layered nonlinear network, where synaptic inputs are combined nonlinearly within individual dendritic branches — depending on where they sit and how clustered they are — before summing at the soma.
• Entrainment (Chronobiology) — A biological clock maintains a stable phase relation to a recurring environmental time cue through phase or period adjustment.
• Hindmarsh–Rose model — The Hindmarsh-Rose model is a three-variable nonlinear dynamical system for neuronal membrane potential and fast and slow recovery currents that reproduces spiking, bursting, and transitions between firing regimes.
• Inhibitory Postsynaptic Potential — A graded postsynaptic voltage response whose receptor-gated conductance and reversal potential reduce the target cell's probability of reaching spike threshold.
• Myelination — The process by which glial cells wrap insulating myelin around axons, forcing action potentials to jump between nodes of Ranvier (saltatory conduction) — raising conduction velocity an order of magnitude and cutting metabolic cost per spike, so conduction speed becomes the common variable behind milestones and demyelinating disease.
• Neuroplasticity — The nervous system rewires itself in response to experience by strengthening or weakening synapses under fixed rules of change, with how much it can rewire gated by a developmental window that is wide in youth and narrower in the adult.
• Neurotransmission — Locate a neuron's flexibility not in the all-or-none spike but in the transformation across the synaptic gap — a quantal, probabilistic, context-modulated transfer decomposable into an ordered chain of mechanism slots that drugs and disorders each perturb at one point.
• Place Field — Reify a place cell's spatial tuning as a measurable object — the bounded region where its firing rate is reliably elevated — turning 'the hippocampus represents space' into a battery of scalars (size, peak, stability, remapping) that travel across preparations.
• Retrograde Signaling — Cellular communication in which a downstream site sends information back toward a component that ordinarily influences it, changing that upstream component's activity.
• Spike-Timing-Dependent Plasticity — A synaptic learning rule where the sign of a weight change depends on the millisecond order of pre- and postsynaptic spikes — pre-before-post potentiates, post-before-pre depresses — turning a coincidence detector into a causality detector that grows directed connectivity.
• Synaptic Plasticity — The capacity of individual synapses to undergo lasting changes in transmission efficacy driven by their joint activity history, giving memory a physical address as a modifiable weight distribution and organizing a family of mechanisms along direction, timescale, polarity, modality, and gating.
• Three-Factor Learning — A synaptic learning-rule structure in which presynaptic activity, postsynaptic state, and an additional modulatory signal jointly govern plasticity.