Electrophysiology 1. Spikes, graded potentials and synaptic integration Flashcards
Describe the various techniques for electrophysiological recording
-local EEG
-extracellular LFP
-intracellular recording
Describe the local EEG
- Crudest/lowest resolution
- cortical thickness packed with neurones - mostly pyramidal cells
- regular orientation and layers and apical dendrites that go vertically in parallel
Extracellular LFP
current flows → local field potential
Intracellular recording
- finer/highest resolution
- as you increase stimulation = increased frequency of AP = rate coding
- AP frequency increases with stimulus intensity
- Membrane potential change → changes direction and amplitude of stimulus
Distinguish between intracellular vs extracellular
- EC: occurrence of AP
- cannot record voltage difference across membrane (membrane potential, Vm)
- spikes in nearby neurons cause local extracellular current flow which can be detected as small transient voltage change
- IC: membrane potential and individual synaptic
- records voltage difference across cell membrane (Vm)
State the electrical properties of the neuron
- Voltage: Battery -70mV Na/K equilibrium = ion pump
- Capacitance: capacity to store in separate change ⇒ delayed response
-determines rate of responses of membrane = membrane time constant
-lipid bilayer membrane impermeable to ions - resistant BUT pores allow ion flow - Increase in ion channels opening = decreases resistance
- Faster time constant- the more quickly it will approach final value = shorter time constant = longer it would take
Explain the difference between action potentials and graded potentials
Graded potentials: subthreshold changes in Vm due to intracellular current injection in an electrophysiological experiment.
AP/SPIKES SYNAPTIC/GRADED
Large (~100mV) small (<1 mV)
Faster (c. 1ms) slower (c. 10ms)
All-or-nothing graded
cannot summate can summate
active passive
What are neuronal inputs and outputs?
- Neuronal outputs: APs (spikes) propagated down the axon
- APs potentials are actively propagated
- Neuronal inputs: EPSPs and IPSPs generated in dendrites and soma in response to spikes in presynaptic neurons
- synaptic potentials are graded potentials
- they are passively propagated from dendrites to soma
An AP in a presynaptic neuron triggers a PSP in a postsynaptic neuron. Explain further.
- Neurotransmitter secreted from presynaptic binds to receptor on postsynaptic membrane - opening ion channels and allowing local current flow
- results in local change in Vm which may de- or hyperpolarising
- changes in Vm due to single PSPs are usually small: in the mV range
- PSPs are graded potentials they can summate
- SUMMATION = longer time constant
Describe Synaptic integration
- over any given (brief) time window spatial and temporal summation determine the value of Vm
- If positive to threshold, AP generated, otherwise not
- EPSPs: +ve
- IPSPs: -ve
Describe Spatial summation
different presynaptic neurons with synapses on different spatial locations on the postsynaptic neuron can be active simultaneously - individual PSPs can summate
Describe Temporal summation
- time course of AP is slower than PSP. If twi presynaptic APs are fired in rapid succession, PSP due to 2nd AP can sum with that due to 1st.
- Synaptic potentials slower to rise and decay due to passive electrical properties of membrane (time constant (C))
- if intraspike interval short enough ⇒ frequency high enough then 2nd AP before PSP
Explain the effect of membrane space on synaptic integration
- increases with square root of diameter
- increases with membrane resistance
- decay of voltage along membrane
Explain the effect of time constants on synaptic integration
T = RC
Explain membrane leakage
- Vm +10 from presynaptic neuron ⇒ leaking occurs ⇒ less than -10 to soma and postsynaptic neuron = space constant
- The input signal to a neuron consists in in graded changes in Vm due to summation of excitatory and inhibitory postsynaptic potentials over a given time window.
- Time constant, tau, is given by membrane resistance multiplied by capacitance (t=RC). By opening more ion channels we can create faster responding neuron