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This chapter considers methods for measurements of postsynaptic responses and simple approaches to the estimation of parameters of quantal release in synapses of the central nervous system of vertebrates. The use of these methods is illustrated by the analysis of single-fibre and "minimal" monosynaptic postsynaptic potentials (PSPs) or currents (PSCs) recorded from neurons of the frog spinal cord and rat hippocampus. First, we briefly discuss traditional methods of the response measurements using peak amplitudes or areas, further focusing on a novel method based on multivariate statistical techniques of the principal component analysis (PCA). This approach provides typically better signal-to-noise ratios and is able to separate two or more response components, which can arise due to activation of more than one presynaptic fibre, axon collaterals, receptor subtypes or spatially separated transmission sites. Second, spectral analysis is introduced as the method of choice to verify whether the amplitude fluctuations of the postsynaptic responses have a quantal nature and to obtain estimations of the "basic" quantal parameters, i.e. the quantal size (Q) and mean quantal content (m), without introducing assumptions on release statistics. Third, we show how the method of moments could be applied in the framework of the Poisson and binomial models to estimate the basic quantal parameters and parameters p and n, which reflect the release probability and maximum number of quanta released (or the number of effective release sites), respectively. Fourth, we show that the analysis of the moments can also be instrumental to reveal non-uniformity of release probabilities and compare how several competing models of neurotransmitter release fit to multiple experimental data sets.

To characterize the low-frequency depression (LFD) of synaptic transmission in the visual cortex, we recorded field potentials and minimal excitatory postsynaptic potentials (EPSPs) from layer II/III following intracortical stimulation at various frequencies in cortical slices of rats. Field potentials were stable at 0.017 Hz, but showed an amplitude depression at 0.033-0.1 Hz at stimulus intensity of 1.5 times the threshold for induction of the postsynaptic component and at 0.1-0.2 Hz at intensity of 1.2 times the threshold. The LFD was input-specific and its magnitude correlated with the stimulus frequency. An interruption of stimulation for 15 min yielded a nearly complete recovery from LFD. Minimal EPSPs tested at 0.1-1.7 Hz often showed LFD with similar features. However, some inputs were stable or even facilitated during repeated stimulation. At 0.1 and 0.2 Hz, >50% of inputs were stable, whereas 10% and 25% were depressed, respectively. At 0.5 and 1.7 Hz, LFD was observed in >60% and 80% of inputs, respectively. The magnitude of LFD strongly varied across inputs. In 3 of the 41 inputs analyzed, LFD was so strong that these inputs became virtually silent. Occurrence of responses to the second pulse in the paired-pulse paradigm when the first response was absent and recovery of depressed EPSPs following stimulus interruption or shift to a lower frequency suggest that these synapses were presynaptically silent due to a lowered probability of transmitter release. Altogether, the results indicate that testing intervals of <10 or even < or =30 s cannot be regarded as completely neutral. At the single-cell level, frequency-dependent changes were strongly heterogeneous across different inputs. LFD and its spontaneous recovery may underlie the previously described "post-rest" potentiation, and should be taken into account when considering information processing in cortical networks.