Electrical and Chemical Synapses: basic structure and function
Two classes of synapses
Electrical synapses
Direct electrical coupling between cytosol of two neurons
Gap junctions form the electrical connection
Computationally inflexible but allow rapid, bidirectional signaling
Chemical synapses
Transition from electrical signal to chemical signal via neurotransmitter release
Slower than electrical synapses but capable of complex processing
Experimental observation: injected current in presynaptic neuron can leak to extracellular space or transfer to postsynaptic neuron; postsynaptic response depends on synapse type
Electrical synapses (gap junctions): structure and function
Gap junction structure
Gap junction consists of 6 connexin subunits forming a connexon in each cell membrane
Two connexons align to make a gap junction channel
Channel is non-selective for ions and small molecules
Result: direct electrical coupling allowing ions to pass between cells
Functional implications
Electrical PSPs occur rapidly (fast transmission)
Because they are direct, they are generally less flexible for computational modulation
Postsynaptic response depends on the nature of the electrical coupling
Diagrammatic note from slides
Presynaptic Vm and postsynaptic Vm show tight, fast coupling
Electrical PSPs are distinct from chemical PSPs in timing and plasticity
Chemical synapses: basic structure and function
Key structural features
Presynaptic and postsynaptic membranes separated by a cleft of 20–50 nm
Four criteria for a neurotransmitter
1) Synthesized in the presynaptic neuron
2) Defined postsynaptic action after release
3) Exogenous administration mimics endogenous action
4) Specific removal mechanism from the synaptic cleft
Neurotransmitter release and receptor action
Neurotransmitter release steps
Synthesis and loading into vesicles
Vesicle docking at active zones
Ca2+-triggered vesicle fusion and exocytosis (fast)
Endocytosis to recycle vesicles
Vesicle fusion timing
Exocytosis can occur within as little as 0.2ms
Ca2+ triggers fusion via a network of specialized proteins
Post-synaptic receptors
Ionotropic (ligand-gated ion channels): fast, brief responses
Directly gate ion flow; typically less selective than voltage-gated channels
Inhibitory PSP (IPSP): hyperpolarization (e.g., Cl− entry or K+ exit)
No explicit y-axis in some PSP plots; focus on direction and relative size of PSPs
Miniature PSPs (minis)
Quanta corresponding to release of a single vesicle
PSPs vary in amplitude trial-to-trial; minis represent the basic unit of neurotransmitter release
If no vesicles released, a 0 mV response occurs
Neurotransmitter removal and termination of signaling
Precise timing requires turning off signaling
Ca2+ clearance from presynaptic terminal via Na+/Ca2+ exchanger (NCX): 3 Na+ ions move in for each Ca2+ moved out
Neurotransmitter removal mechanisms:
Diffusion away from synapse
Reuptake into presynaptic terminal
Enzymatic destruction (e.g., acetylcholinesterase for acetylcholine)
Dendrites, postsynaptic potentials, and summation (3c)
Why PSPs attenuate by distance
Passive conduction along dendrites causes PSPs to decay with distance from the synapse
Distance constant concepts:
Length constant λ: distance where the depolarization decays to 1/e of its original size
Time constant τ: how quickly the PSP decays over time
Factors determining decay and spread
Dendrite diameter and distribution of ion channels affect λ and τ
Internal resistance (Ri) and membrane resistance (Rm) influence decay
If no voltage-gated channels in dendrite, PSPs decay passively with distance
Effects of distance on influence at the soma
Synapses closer to the soma have a greater impact on spike generation due to attenuation
Distal synapses can sometimes have larger local PSPs due to receptor density or local processing, partially offsetting decay
Trigger zone and spike initiation
The trigger zone (axon initial segment / axon hillock) has the highest density of voltage-gated Na+ channels and the lowest spike threshold
PSPs must reach this zone to influence firing
Spatial vs temporal summation
Spatial summation: multiple inputs from different locations summate at the soma
Temporal summation: inputs arriving in quick succession summate in time
Both types depend on membrane time constant and length constant; long constants favor summation and easier reaching threshold
Dendritic computation and active conduction (3d)
Passive vs active conduction in dendrites
Passive conduction: PSPs decay with distance; bidirectional spread; charge leaks through membrane
Active conduction: voltage-gated channels in dendrites can boost or propagate depolarizations toward the soma
Active conduction is not as reliable as axonal action potentials and does not produce the all-or-none spike, but it supports local computation
Practical implications for computation
Dendrites can perform spatial and temporal integration to influence neuronal output
Synaptic location and channel distribution shape the computational capabilities of neurons
Experimental illustration notes
Simultaneous recordings from dendrites and soma show how PSPs propagate and decay; distal inputs can still contribute meaningfully via local amplification
Synaptic plasticity and strength modulation
Synaptic strength can be modulated by multiple mechanisms
Long-term potentiation (LTP): increased synaptic strength via insertion of more receptors into the postsynaptic membrane
Structural and functional changes at synapses alter efficacy
Example: pre- and postsynaptic receptor density can be redistributed to strengthen or weaken connections
Vesicle release probability (Pr)
Pr is the probability that a vesicle is released in response to an action potential
Typical ranges (examples):
Spinal cord motor neurons: Pr ∈ [0, 1]
Cerebellar climbing fibers: Pr ≈ 0.9
Cortical pyramidal cells: Pr ≈ 0.1–0.9
Motor neurons: Pr ≈ 1
Presynaptic modulation of release probability
Axo-axonal synapses regulate Ca2+ entry into the presynaptic terminal, modulating vesicle release
Mechanisms can be ionotropic (fast) or metabotropic (slower, signaling cascades)
Paired-pulse facilitation and depression
Two stimuli separated by a short interval (e.g., 100 ms) can produce facilitation if Pr is not saturated
The second stimulus often triggers greater vesicle release due to residual Ca2+ in the presynaptic terminal, increasing the postsynaptic response
If Pr is high, the second response can be smaller (depression) due to vesicle depletion
Graphs show two waves of presynaptic Ca2+ influx leading to larger second EPSC and larger postsynaptic response when facilitation occurs
Autoreceptors and presynaptic receptors
Presynaptic metabotropic receptors monitor neurotransmitter release and provide negative feedback
Can inhibit neurotransmitter release and synthesis, maintaining homeostasis and preventing overexcitation
Astrocytes and glial modulation
Astrocytes sense neurotransmitters and can regulate synaptic transmission
They participate in tripartite synapses, influencing clearance, uptake, and extracellular signaling
Circuits and computation: simple examples
Simple circuits illustrate how excitatory (A, C, B) and inhibitory (D, I) inputs shape postsynaptic output
Concepts illustrated
Summation (A+B) can cause a downstream neuron to fire if combined input crosses threshold
Inhibition (via inhibitory synapses) can subtract or dampen activity
Complex circuits can produce oscillations and varied firing patterns depending on connectivity and synaptic strength
Key concepts and takeaways
Electrical synapses provide fast, direct coupling but limited computational flexibility
Chemical synapses enable diverse transmission, plasticity, and complex computation
Neurotransmitter life cycle: synthesis, loading, release, receptor binding, postsynaptic response, and removal
Postsynaptic potentials integrate across space and time; dendrites perform substantial computation before reaching the soma
The trigger zone is critical for translating PSPs into action potentials
Synaptic strength is modulated by pre- and postsynaptic mechanisms, including release probability, receptor density, neuromodulators, and glial interactions
Short-term dynamics (paired-pulse) interact with longer-term changes (LTP/LTD) to shape learning and adaptation
Metabotropic signaling (neuromodulation) can globally adjust excitability by altering ionic conductances and membrane resistance
Practical implications: understanding NMJ, synaptic plasticity, and dendritic integration is foundational for neural computation and real-world neuroscience applications
Relationships to foundational principles and real-world relevance
Centered in Bear, Connors, Paradiso chapter on synapses and dendrites (Chapter 5): integrates chemical transmission, postsynaptic potentials, and dendritic processing
Concepts link to neural coding, learning, and plasticity observed in real neural circuits (e.g., LTP at hippocampal and cortical synapses)
Ethical, philosophical, and practical implications
Modulation of synaptic strength underlies learning, memory, addiction, and neuropsychiatric conditions