A defining feature of cortical layer 2/3 excitatory neurons is their sparse activity, often firing in singlets of action potentials. Local inhibitory neurons are thought to play a major role in regulating sparseness, but which cell types are recruited by single excitatory synaptic inputs is unknown. Using multiple, targeted, in vivo whole-cell recordings, we show that single uEPSPs have little effect on the firing rates of excitatory neurons and somatostatin-expressing GABA-ergic inhibitory neurons but evoke precisely timed action potentials in parvalbumin-expressing inhibitory neurons. Despite a uEPSP decay time of 7.8 ms, the evoked action potentials were almost completely restricted to the uEPSP rising phase (~0.5 ms). Evoked parvalbumin-expressing neuron action potentials go on to inhibit the local excitatory network, thus providing a pathway for single spike evoked disynaptic inhibition which may enforce sparse and precisely timed cortical signaling.
The neocortex contains a recurrently connected network of excitatory pyramidal (PYR) neurons that maintain brief, sparse firing patterns during sensory processing and motor behavior1. Powerful local inhibitory pathways are thought to prevent runaway excitation and maintain sparseness2,3,4,5,6,7. For example, somatostatin-expressing (SST) GABA-ergic inhibitory interneurons can be recruited by single presynaptic PYR neurons and disynaptically inhibit neighboring neurons8,9,10. Recruitment of SST neurons, however, requires trains of multiple unitary excitatory postsynaptic potentials (uEPSPs) and which cell types are recruited by single uEPSPs evoked by single PYR neurons is unclear.
This question is especially relevant for layer 2/3 (L2/3) of primary somatosensory cortex (S1) that contains PYR neurons with particularly sparse firing rates1,3,11,12. Prior studies have investigated monosynaptic connectivity within L2/3 in some detail and shown cell-type-specific differences in excitatory connectivity rates, kinetics, and amplitude distributions. For example, while PYR neurons provide input to only ~7% of neighboring PYR neurons, they connect with far higher rates (>40%) to PV- and SST-expressing GABA-ergic inhibitory interneurons8,13,14,15. In all cell types, the majority of uEPSPs are <1 mV with only a minority >2 mV13,16,17,18,19,20,21,22,23. However, the mean amplitude of a uEPSP has been observed to be lower in PYR neurons (~0.5 mV) than in fast spiking PV neurons21,24. Moreover, uEPSPs in SSTs have especially high failure rates and are strongly facilitating in comparison to the faster and more reliable inputs to PV neurons8,9,13,25,26,27. Whether these synaptic features translate into cell-type specific differences in the probability and timing of action potentials (APs) generated by uEPSPs has not been addressed in vivo.
Here we performed multiple (2–4) in vivo two-photon targeted whole-cell recordings in L2/3 of mouse S1 from a PYR neuron and a nearby PYR, SST, or PV neuron. Multiple whole-cell recordings gave us access to the membrane potential (Vm) of all recorded neurons allowing us to evoke single presynaptic APs and determine the electrophysiological features underlying the transformation of a uEPSP into an AP. We show that during depolarized phases of network activity, uEPSPs evoked by a single presynaptic PYR neuron AP can drive temporally precise postsynaptic firing in neighboring PV neurons, but not in PYR or SST neurons. Evoked PV neuron APs were driven by larger amplitude uEPSPs on the background of more depolarized network activity. Evoked PV neuron APs in turn inhibit surrounding PYR neurons. Thus, we provide a circuit for single spike evoked disynaptic inhibition in vivo and show that, unexpectedly, the net effect of a single L2/3 excitatory PYR neuron AP on the local network is inhibition.
Cortical L2/3 monosynaptic excitatory connectivity in vivo
To examine the impact of single uEPSPs on postsynaptic spiking in vivo, we used two-photon microscopy to target multiple whole-cell recordings from excitatory, glutamatergic, PYR neurons, PV- and SST-expressing GABA-ergic inhibitory interneurons in L2/3 of somatosensory barrel cortex in urethane-anesthetized and awake P21-30 mice16 (Fig. 1a, b; Supplementary Fig. 1a; Supplementary Table 1). Neighboring cells (mean somatic distance 42.46 ± 0.76 µm, range 15.06–160.62 µm, n = 831 tested connections) were targeted to the same focal plane at a mean depth below the pia of −183.69 ± 1.05 µm (range −286.60 to −111.41 µm, n = 831 tested connections).
We first measured cellular membrane properties during current injection and observed that input resistance (PYR = 88.88 ± 10.32 MΩ, n = 16; SST = 276.23 ± 48.76 MΩ, n = 7; PV = 71.96 ± 7.07 MΩ, n = 14; Supplementary Fig. 1b) and membrane time constant (PYR = 10.55 ± 1.09 ms, n = 16; SST = 27.54 ± 4.26 ms, n = 7; PV = 5.28 ± 0.54 ms, n = 14; Supplementary Fig. 1c) were higher in SST neurons than in PV or PYR neurons. AP half-width was significantly shorter in PV neurons than in SST or PYR neurons (PYR = 2.14 ± 0.09 ms, n = 41; SST = 1.61 ± 0.12 ms, n = 7; PV = 0.83 ± 0.09 ms, n = 22; Supplementary Fig. 1d), but AP threshold was similar across neuron types (PYR = −31.79 ± 0.68 mV, n = 41; SST = −33.83 ± 1.07 mV, n = 7; PV = −31.25 ± 0.90 mV, n = 22; Supplementary Fig. 1e).
Under urethane anesthesia, all neurons showed slow (1–5 Hz) fluctuations in the Vm from more hyperpolarized, synaptically quiescent periods (DOWNstate) to depolarized, active periods (UPstate). The amplitude of slow fluctuations, however, was significantly smaller in SST neurons than in PYR or PV neurons (Supplementary Fig. 1a, f). Notably PV neurons had higher mean spontaneous firing rates than PYR and SST neurons (PYR = 0.07 ± 0.01 Hz, n = 207; SST = 0.23 ± 0.10 Hz, n = 12; PV = 7.90 ± 1.30 Hz, n = 22, Supplementary Fig. 1g).
To test initially for monosynaptic connections from PYR neuron to PYR, SST, and PV neurons, we evoked APs in PYR neurons via a brief current injection and analyzed the Vm responses in neighboring neurons in DOWNstates16 (Fig. 1c, see Methods). While PYR neurons were only sparsely connected to other PYR neurons (PYR to PYR 6.6% 51/774 neurons), monosynaptic excitatory connectivity was similarly high to both sets of inhibitory neurons (PYR to SST neuron 44.4%, 8/18 neurons; PYR to PV neuron 43.6%, 17/39 neurons, Fig. 1d). There was no correlation between the probability of forming a connection and the distance between the presynaptic PYR neuron and SST or PV neuron somata (Supplementary Fig. 2a).
Single excitatory synaptic inputs evoke APs in PVs
During slow network activity in vivo, L2/3 PYR APs only occur during depolarized phases. Therefore, we went on to examine the impact of single, experimentally evoked, PYR neuron APs on local connected and unconnected neurons during UPstates. Single PYR neuron APs did not trigger AP firing in unconnected PV, SST, or PYR neurons, nor in monosynaptically connected PYR or SST neurons (Fig. 2a, b). Strikingly, however, postsynaptic PV neurons could be recruited to fire at short latencies following a single, evoked PYR neuron AP (Fig. 2c). Single PYR neuron AP recruitment of PV neurons was also observed under awake conditions (Supplementary Fig. 3). To quantify this effect, we defined the “synaptic gain” as the number of additional APs in the 5 ms bin following a single presynaptic PYR neuron AP compared to the baseline rate 40–0 ms prior to the evoked spike28,29 (see Methods). The average synaptic gain was close to 0 for PYR and SST neurons, but 0.17 ± 0.04 (n = 14) for PV neurons (Fig. 3a, b).
Can spontaneously occurring single PYR neuron APs also evoke APs in PV neurons? We next performed spike-triggered averaging of single spontaneous PYR neuron APs and examined the activity of simultaneously recorded PYR, PV, and SST neurons. Intriguingly, we observed that PV neurons that receive an excitatory synaptic input from a neighboring PYR neuron, can follow spontaneous PYR neuron APs with short latency and high fidelity (Supplementary Fig. 4). Moreover, in a subset of the data, the average synaptic gain was similar for evoked and spontaneous APs (synaptic gain: evoked APs = 0.25305, spontaneous APs = 0.21467, n = 5, P = 0.625). These data suggest that single spike recruitment of PV neurons shapes local cortical activity during sparse spontaneous activity.
uEPSP features determining high synaptic gain in PV neurons
Vm recordings allowed us to examine both the synaptic and cellular properties determining the high synaptic gain in PV neurons. Compared to excitatory inputs onto SST or PYR neurons, uEPSPs in PV neurons showed faster temporal properties with a shorter latency (PYR = 1.36 ± 0.13 ms, n = 28; SST = 1.10 ± 0.16 ms, n = 6; PV = 0.55 ± 0.09 ms, n = 14; Supplementary Fig. 2b), faster rise time (PYR = 1.84 ± 0.15 ms, n = 28; SST = 2.40 ± 0.38 ms, n = 6; PV = 1.11 ± 0.11 ms, n = 14; Supplementary Fig. 2c), earlier peak time (PYR = 5.63 ± 0.35 ms, n = 28; SST = 7.74 ± 0.79 ms, n = 6; PV = 3.42 ± 0.40 ms, n = 14; Supplementary Fig. 2d), and shorter half-width (PYR = 14.18 ± 1.84 ms, n = 23; SST = 20.43 ± 6.06 ms, n = 4; PV = 7.85 ± 1.60 ms, n = 14; Supplementary Fig. 2e). Moreover, the mean amplitude of uEPSPs was larger in PV than in SST or PYR neurons (PYR = 0.31 ± 0.07 mV, n = 35; SST = 0.55 ± 0.32 mV, n = 7; PV = 1.14 ± 0.19 mV, n = 14; Fig. 4a, b). The kinetic properties of uEPSPs in PV neurons were not well correlated to the synaptic gain (in all cases P > 0.05, n = 14), however larger amplitude inputs are more likely to trigger an AP (Fig. 4c).
To trigger an AP, the Vm change evoked by the uEPSP needs to exceed AP threshold. AP threshold was similar across neuron types (Supplementary Fig. 1e) but, during UPstates, the Vm was more depolarized in PV than in SST or PYR neurons (PYR = −50.68 ± 0.37 mV, n = 207; SST = −49.89 ± 2.74 mV, n = 7; PV = −41.01 ± 1.28 mV, n = 12; Fig. 4d, Supplementary Table 1). We therefore measured the absolute uEPSP Vm peak value (Fig. 4e) and show that the difference between the PV neuron AP threshold and the uEPSP Vm peak value (AP Thr. - uEPSP Vm Peak, see Methods) was also correlated with synaptic gain (Fig. 4f). To test for possible interactions between (AP Thr. - uEPSP Vm Peak) and (uEPSP amplitude) we performed a stepwise multiple linear regression analysis which showed that, while both variables influence synaptic gain (r = 0.914, P < 0.0001), they are not correlated to each other (r = −0.438, P = 0.117). Therefore, our data indicates that PV neurons are more likely than SST or PYR neurons to fire an AP in response to a PYR neuron AP during an UPstate because of a combination of their larger amplitude uEPSPs being delivered on top of more depolarized background synaptic input. In support, similar features were observed in the synaptic dynamics around a spontaneous AP: PV neurons have a depolarized baseline Vm followed by a rapid depolarization in the 2 ms immediately prior to AP threshold (Supplementary Fig. 5).
Single input PV neuron APs are evoked with millisecond precision
The time at which APs are generated relative to the uEPSP is an important determinant of the temporal coding capacity of neural circuits. We therefore next compared the timing of the evoked PV neuron APs with the uEPSP dynamics (Fig. 5a). Despite a uEPSP half-width of ~8 ms, PV APs were reliably generated during the rising phase of the uEPSP (mean AP jitter: 1.08 ± 0.09 ms, n = 9, Fig. 5b) at ~2 ms latency (2.23 ± 0.09 ms, n = 9, Fig. 5c). Moreover, the half-width of the evoked PV PSTH was smaller than the broad synaptic dynamics of the uEPSP, (half-width PSTH = 1.20 ± 0.15 ms, n = 7; half-width uEPSP = 9.09 ± 1.31 ms, n = 7; Fig. 5d) and the peak of the PSTH was ~1.3 ms before the peak of the underlying uEPSP (Fig. 5e). APs are therefore precisely generated by uEPSPs suggesting that, in vivo, spike transmission from PYR to PV neurons occurs at high fidelity29.
Cortical L2/3 monosynaptic inhibitory connectivity in vivo
What impact do the evoked PV neuron APs have on the local excitatory network? Paired recordings in quiescent cortical slices have shown that PV neurons form dense GABA-ergic inhibitory monosynaptic connections to PYR neurons that hyperpolarize postsynaptic neurons away from spike threshold24,30,31,32,33. However, very little is known about monosynaptic inhibitory connectivity in vivo. We therefore triggered single APs in SSTs and PVs using current injection and measured the postsynaptic response in PYR neurons during periods of DOWNstate and UPstate (Fig. 6a; Supplementary Fig. 6a). As PYR neurons became further depolarized from the GABA-ergic reversal potential, both PV and SST neuron evoked uIPSPs strongly increased in amplitude (DOWNstate: SST = −0.05 ± 0.02 mV, n = 7; PV = 0.03 ± 0.02 mV, n = 12; UPstate: SST = −0.41 ± 0.13 mV, n = 7; PV = −0.33 ± 0.06 mV, n = 20) (Fig. 6b, d, e; Supplementary Fig. 6b, d, e). Both SST and PV neurons had a high likelihood of providing an inhibitory monosynaptic input to PYRs (connectivity rate: SST–PYR: 47.1%, 8/17; PV–PYR: 60.6%, 20/33, Fig. 6c; Supplementary Fig. 6c). We did not observe any significant differences in the kinetics of SST and PV neuron-evoked uIPSPs in PYR neurons during UPstates (Supplementary Fig. 7): latency (uIPSP latency SST = 1.84 ± 0.88 ms, n = 7; PV = 1.43 ± 0.35 ms, n = 20), 20–80% rise time (uIPSP rise time SST = 5.19 ± 0.86 ms, n = 7; PV = 5.51 ± 0.90 ms, n = 20), peak time (uIPSP peak time SST = 13.13 ± 2.37 ms, n = 7; PV = 12.44 ± 1.26 ms, n = 20), 50% half-width (uIPSP half-width SST = 34.70 ± 10.24 ms, n = 5; PV = 20.68 ± 3.10 ms, n = 13). Together, our data suggest that single inhibitory neuron APs during UPstates could provide a dense and powerful source of inhibition to neighboring PYR neurons.
Single PYR neuron APs evoke disynaptic inhibition
Disynaptic inhibition of local PYR neurons can occur following trains of PYR neuron APs by activating SST neurons through facilitating synapses8,9. Because PV neurons can be recruited precisely by single PYR APs, and given the high connectivity between PYR and PV neurons, we hypothesized that disynaptic inhibition might also be observed in neighboring connected and unconnected PYR neurons following a single PYR neuron AP. We therefore averaged Vm changes in local PYR neurons following a single evoked PYR neuron AP. During periods of DOWNstate, we observed unconnected PYR neurons, with no change in their Vm (Fig. 7a, PYR4-5), and connected PYR neurons, with depolarizing uEPSPs (Fig. 7a, PYR2-3). However, during periods of UPstate, when PV neurons can be recruited by single PYR neuron APs, we observed hyperpolarization in a subset (32/113 ≤ −1*SD of the amplitude distribution, green in Fig. 7b) of both connected and unconnected PYR neurons in response to a PYR AP (Fig. 7a, PYR3-4,b). Pooling these data revealed an overall hyperpolarization (Fig. 7c, d) and a reduction in the spontaneous AP firing rate in the 30 ms following the PYR neuron AP (Fig. 7c, e). As SST and PYR neurons were not recruited by single PYR neuron APs (Fig. 2), we conclude that the single PYR neuron AP-evoked inhibition we observe is mediated by PV neurons (Supplementary Fig. 8). Therefore, single layer 2/3 PYR neuron APs have a measurable effect on local network activity in vivo, however, due to the powerful PYR to PV synaptic connection and high connectivity rates from PV to PYR neurons, the net effect in neighboring PYR neurons is inhibition.
Multiple in vivo targeted whole-cell recordings allowed us to evoke single presynaptic APs in genetically labeled neurons with intracellular current injection and measure excitatory and inhibitory sub- and supra-threshold membrane potential responses of neighboring neurons during depolarized network activity. Using this approach, we show that single uEPSPs from single PYR neurons can evoke precisely timed APs in vivo in PV neurons that go on to inhibit the local network.
Monosynaptic transmission has been extensively studied in vitro in cortical slices. Slice preparations may alter basic properties of synaptic transmission due to neuronal cutting, alterations in neuromodulator and ion concentrations and the lack of network activity. However, as in prior cortical slice studies8,21,24,30,31,32,34, we observed that connectivity rates from PYR neurons to PV (43.6%) and SST neurons (44.4%) are significantly higher than those from PYR to PYR neurons (6.6%). Moreover, the kinetics of uEPSPs were significantly faster in PV neurons than in PYR or SST neurons, including a shorter onset latency, faster rise time, shorter half-width and shorter decay time8,13,21,24,32. Finally, the amplitude of uEPSPs in PV neurons was larger in amplitude than those in PYR21,24 and in SST neurons. Thus, together with prior in vivo monosynaptic cortical connectivity studies13,16, our data show that, while failure rates are higher and synaptic depression weaker, a number of synaptic properties are similar to prior in vitro work.
Faster uEPSP kinetics and larger amplitude inputs in PV neurons could be linked to their low input resistance and fast time constant, differences in the time course of conductance changes, higher degree of synchrony of synaptic release sites, as well as the dominance of fast AMPA conductance over slower NMDA35. The slower kinetics in SST neurons may result from their high input resistance and slow membrane time constant. Because of the high axial resistance of thin dendritic structures, the location of synaptic contacts could also influence somatic uEPSP amplitude. Interestingly, prior work has shown little correlation between input location and uEPSP amplitude or rise time in PV neurons36. Moreover, uEPSPs onto PV have comparatively little variability in rise time13,36 (Supplementary Fig. 1). One possibility is that the impact of input location in PV neurons is low leading to a higher overall mean amplitude, perhaps resulting from their electrotonic compactness and fast membrane time constant. Subcellular dendritic stimulation or high-resolution histology combined with paired recordings could help address this question further.
Very little information is available about cortical monosynaptic inhibitory transmission in vivo. In agreement with slice data37, the amplitude of uIPSPs, strongly increased as PYR neurons depolarized from DOWNstate to UPstate. This was most likely due to the hyperpolarized reversal potential of uIPSPs and the change in driving force associated with the depolarization during UPstate. The rates of inhibitory connectivity we observed (PV 60.6%, SST 47.1%) were comparable with in vitro studies8,21,24,30,31. Future connectivity studies in vivo must now address excitatory and inhibitory monosynaptic connectivity during different behavioral states in the context of altered neuromodulatory input27.
Our data and prior in vivo Vm recordings have shown that PYR neurons fire sparsely during depolarized phases of slow network activity in awake and anesthetized mice1,11,38. We therefore went on to examine the impact of uEPSPs on the generation of APs in postsynaptic neurons during UPstates. The fast kinetics and larger amplitude suggested that excitatory inputs to PV neurons are well suited for fast signaling29. We confirmed this in vivo by showing that single excitatory inputs from PYR to PV neurons can drive precisely timed APs during the rising phase of the uEPSP with a mean synaptic gain of 0.17. Comparing the evoked firing rates with postsynaptic membrane and cellular properties showed that the higher level of recruitment of PV neurons compared to SST and PYR neurons is likely the result of larger amplitude uEPSPs in PV neurons occurring on the background activity of a more depolarized Vm during UPstates. Importantly, spontaneous spike triggered averaging (Supplementary Fig. 4) also showed a peak in the PSTH of fast spiking neurons following PYR neuron spiking. It will be important to go on to examine how the transformation of uEPSPs to APs in PV neurons is affected by inputs from multiple presynaptic PYR neurons, perhaps using patterned optogenetic stimulation of multiple single cells.
Cortical synaptic inhibition and excitation are thought to be strongly correlated, even at millisecond time scales5,39,40. Local GABA-ergic inhibitory neurons are well placed to mediate the fast tracking of excitation, with prior work revealing a prominent disynaptic inhibitory circuit between PYR neurons mediated by SST Martinotti cells8,9,10. However, although ACh release can boost uEPSP amplitude to SST neurons during DOWNstates27, SST neurons are typically activated by trains of presynaptic APs due to their faciliating excitatory inputs, thus the source of disynaptic inhibition during sparse firing of single neurons in L2/3 was unclear. Our data shows that PV neurons can fire in response to single uEPSPs during UPstates. Whether single uEPSP mediated PV firing is present across cortical regions remains to be determined. However, in vitro work using rat layer 5 visual and somatosensory cortical slices has shown that experimental depolarization of postsynaptic PVs can result in single uEPSPs triggering APs29. Moreover, studies using human cortical slices have observed single uEPSP evoked recruitment of PV neurons41,42.
Notably, the PV neuron spiking response is observed during the rising phase of the uEPSP. Rapid spiking responses during rising phase of depolarizing synaptic inputs has been observed during the spontaneous firing of sensory afferent inputs to motor neurons43,44 and in slice experiments with excitatory inputs to PV neurons29, potentially acting to and may act to prevent a reduction in AP firing precision due to background activity45.
There has been debate about the impact and function of unitary synaptic inputs from single cells on AP generation in cortical circuits. Some models of synaptic integration suggest that cortical synapses act in a temporally precise, synchronous manner28,46,47,48,49,50,51, while others that APs are generated as a noisy spike train roughly computed from the average rate of hundreds of weak synaptic inputs52,53. Our data show that single uEPSPs can evoke precisely timed postsynaptic APs in a cell-type-specific manner.
In agreement with population PYR stimulation2, the stimulation of single PYR neurons leads to a net inhibition of surrounding PYR neurons (Fig. 7). Thus, our data support the proposal that single PYR neurons can have a measurable effect at the network level53,54,55,56,57,58,59,60. The inhibitory impact of PYR neuron APs likely acts to reduce local firing rates and contribute to the sparse and desynchronized firing of L2/3 PYR neurons. Moreover, the fast response time of the evoked PV neuron APs provides a circuit for the tight coupling of synaptic excitation and inhibition5,39,61 and may limit the time available for summation of synaptic inputs to PYR neurons61,62. Single spike evoked PV neuron firing may therefore provide a mechanism to enhance synaptic coincidence detection46,48 and fast temporal coding schemes28,45,50,63.
Given such high levels of local inhibition, it is perhaps not surprising that PYR neurons require large depolarizing events to trigger APs11,64. Future studies in behaving animals will help establish the consequences of single spike evoked PV neuron firing to cortical coding and help resolve the cellular and synaptic mechanisms that allow PYR neurons to escape the dense inhibition and fire APs.
All experiments were approved by the Berlin animal ethics committee (LAGeSo) and carried out in accordance with European animal welfare law. Animal surgery, two-photon targeted whole-cell patch clamp recordings and histology were described in detail in a previous study16 and are summarized here. P21 to 30 C57BL6J, NEX-cre65 x Ai966, fosGFP67, GAD67-GFP68, PV-cre69, or SST-cre70 mice were initially anesthetized for surgery with 1.5–2% isoflurane in O2; subsequent electrophysiological recordings were made under 1.5 g/kg urethane anesthesia. A lightweight metal head support was implanted onto the skull and next, a small (1 mm2) craniotomy was drilled over the C2 whisker barrel column define by intrinsic optical imaging response or stereotactic coordinates (−1.2 mm/3.5 mm lateral). Finally, the dura was carefully removed prior to recording. For awake experiments, mice were habituated to head restraint for 2–3 days and were given >2 h recovery time from isoflurane anesthesia in their home cage before recording.
Two-photon targeted whole-cell patch clamp recordings
A Femto2D in vivo two-photon laser-scanning microscope (Femtonics), illuminated with a Chameleon Ultra II (Coherent) pulsed laser, was used to image cortical layer 2/3 neurons via a ×40 Olympus water immersion objective (LUMPLFLN 40XW, NA 0.8, W.D. 3.3 mm). We used 2 mm borosilicate glass, resistance 5–7 MΩ, (Hilgenberg) to make whole-cell patch clamp recordings. Three to four pipettes were filled with intracellular solution containing, in mM: 135 potassium gluconate, 4 KCl, 10 HEPES, 10 phosphocreatine, 4 MgATP, 0.3 Na3GTP (adjusted to pH 7.3 with KOH), 30 μm Alexa-594 (Invitrogen) and 2 mg/ml biocytin. Current-clamp whole-cell recordings were made using an Axon Multiclamp 700b amplifier (Molecular Devices) and an Ag/AgCl ground electrode in the recording chamber. The membrane potential was not compensated for the liquid junction potential.
To insert the pipettes through the pia and avoid blood vessels, a positive pressure of 200–300 mbar was applied to the recording pipettes. As soon as the pipette went through the pia the pressure was reduced to 60 mbar and the pipettes moved to 100–150 μm from the pial surface and then reduced again to 30 mbar until reaching the target neurons. Cell somata were then approached to within 20 μm. During two-photon imaging, because of the dye Alexa 594 contained in the intracellular solution, neurons often look like dark cell bodies or “shadows” at excitation wavelength 820 nm. For targeting specific interneurons or in some experiments PYR neurons, we used the offspring of the mouse line Ai9, expressing the loxP-flanked STOP cassette before the sequence of the fluorophore td-Tomato (td-T), and PV-cre, SST-cre or NEX-cre mouse line. Recording pipettes were then pushed up against the cell soma and contact was monitored with resistance changes on an oscilloscope (Tektronix TDS2024C) and the live two-photon images. Next, a gigaseal was formed between the patch electrode and the cell membrane with negative pressure. To achieve whole-cell configuration we then ruptured each cell membrane with negative pressure.
Recordings were digitized at 20 kHz, filtered at 10 kHz and recorded via an ITC18 (Heka) analog to digital converter using IgorPro (Wavemetrics). The recording depth and distance between cell soma was noted at the start of recording. Next, −100 to +400 pA, 500 ms long current pulses were injected into each neuron to measure the evoked firing patterns and obtain trains of APs. The current threshold needed to trigger a single AP in each cell was then found manually using the Multiclamp stimulus command. Next, short square current pulses of low amplitude (10–20 ms, 100–400 pA) were injected into each cell at 1 or 0.5 Hz in sweeps of 60 s to trigger single APs. In some experiments, current pulses of 20–50 ms were used to evoke multiple APs. In vivo Z-stack images (2 μm/slice) were made after recording. All recorded neurons were confirmed online after the recording according to the morphology of the filled cells (shape of the cell body, dendritic apical truck and presence of spines) and their firing pattern. In vivo images shown in figures show pseudo-colored green cells (intracellular dye alexa 594) and yellow cells that represent the spectral overlap of the pseudo-colored intracellular dye with the genetically encoded fluorescent indicator td-T.
After recording, mice were deeply anesthetized by an additional i.p. injection of urethane and transcardially perfused with 4% paraformaldehdye (PFA). The brain was removed, fixed in 4% PFA overnight and stored in PB at 4 °C before histological processing for all brains. Next, 100 μm thick tangential slices were made using a Leica VT1000 S vibrating microtome. We stained for cytochrome oxidase to reveal the barrel cortex map and for biocytin, with a standard ABC kit (Vectastain), with DAB enhancement, to reveal the recorded neurons. Slices were mounted in Moviol, stored at 4 °C and reconstructed using NeuroLucida software (MicroBrightField).
Datasets and analysis software
The rates of connectivity shown between PYR neurons shown in Fig. 1d partly used the connectivity from a previous analysis during DOWNstate16. All other analysis on PYR to PYR neuron connections was during UPstates and was not previously reported. Data analysis was performed in Matlab (Mathworks, MA, USA), Igor Pro (Wavemetrics, OR, USA), and StatEL (ad Science, Paris, France) using custom written routines.
To detect spontaneous or current evoked APs, we first split the data into epochs with and without current injection. APs thresholds were detected using the peak time of the third derivative of the Vm. AP peak times were then detected by finding the maximum of the Vm following an AP threshold crossing and this was used as the time point of the AP. Trials in which multiple APs were evoked by current injection and trials with spontaneous APs that occurred just before or after a current injection epoch were excluded.
Brain state classification
To classify brain state, each evoked AP was grouped into those triggered during epochs of low synaptic cortical activity with a hyperpolarized Vm (DOWNstate), or those triggered during epochs of synaptic activity with depolarized Vm (UPstate). The Vm value of the DOWNstate/UPstate was estimated for each AP in a 10 s window around the AP time by averaging the bottom/top 10% of the Vm. To classify each AP into either DOWNstate or UPstate, we estimated the amplitude of UPstate (UPstateAmp = Vm difference between DOWNstate and UPstate) and the Vm fluctuation in small window around the AP (−50 to 0 ms and 50 to 100 ms). APs were then characterized into UPstate when the mean Vm around the AP was more depolarized than 20–30% of UPstateAmp and the Vm fluctuations >6 mV. We excluded APs that were triggered at transitions between DOWNstate and UPstate. Spontaneous PYR neuron APs were not classified into different states as they only occurred during UPstate. For awake data, we analyzed postsynaptic responses evoked during depolarized synaptic activity.
Input resistance and Tau
Current pulses (100 ms, −100 pA) were used to test for input resistance in periods of DOWNstate. Access resistance was subtracted offline using an exponential fit of the Vm from a 2 ms period after the start of current injection. The difference in Vm between the baseline and the time point at which the fit crossed the onset time of current injection was taken as the access resistance. The input resistance was calculated from the difference in mV between the current injection response corrected for access resistance and the prestimulus Vm. Tau was calculated from the exponential fit of the relaxation phase of the Vm from 2 ms after the end of the hyperpolarizing pulse.
To measure the AP half-width (Supplementary Fig. 1), we averaged all spontaneous APs and measured the width at half height between AP threshold and AP peak.
Spontaneous AP triggered averaging
To study the Vm depolarization and dynamics prior to spontaneous APs (Supplementary Fig. 5), we aligned APs at threshold (AP threshold = 0 ms). The Vm depolarization was measured 50 ms prior to AP threshold and the Vm dynamics prior to spiking were measured as the change in Vm from −2 to 0 ms prior to AP threshold.
Evoked postsynaptic responses
To study the impact of an uEPSP on a postsynaptic neuron, we included pairs with a minimum number of single evoked AP in the presynaptic PYR cell during epochs of active cortical activity, UPstate (PYR n ≥ 20, STT n ≥ 50, PV ≥ 50). We then calculated the following measures of the sub- and supra- threshold postsynaptic responses.
To estimate the efficiency of a uEPSP driving a postsynaptic AP response (Fig. 3b), we counted the number of postsynaptic APs between 1 and 5 ms following the presynaptic AP and subtracted this number from the average baseline AP count (−40 to 0 ms). We termed this the synaptic gain after28. Due to the small temporal integration window, a maximum of one evoked AP was observed per trial. Because PYR neurons fire extremely few spontaneous spikes under urethane anesthesia, we were unable to measure the synaptic gain to spontaneous spikes in all pairs.
uEPSP V m peak
To estimate the membrane potential of the PV neuron postsynaptic response during epochs of network activity (Fig. 4e, f), we measured the uEPSP Vm peak defined by the maximum Vm value in the 1–5 ms following the presynaptic AP in the mean PV neuron response. PV neuron APs were truncated in this analysis.
AP latency and jitter
To estimate the temporal precision of the evoked AP in PV neurons (Fig. 5b, c), we measured the latency and jitter of the first APs occurring in the 5 ms following the presynaptic AP. AP latency is given as the average latency between the first APs following the presynaptic AP. AP jitter is given as the standard deviation of the first AP latencies across trials. We included PV neurons with n > 10 evoked APs.
PSTH peak time and half-width
To estimate the peak time and half-width of the evoked response (Fig. 5d, e), we calculated the PSTH of the AP times with 0.5 ms resolution. This high-resolution PSTH was then fitted with a Gaussian function in the interval between 0 and 6 ms following the presynaptic AP. In the population analysis, we included only responses with good fits (Goodness of fit > 0.6) and clear evoked AP rates (evoked AP rate > 15 Hz). From those cases, we extracted the PSTH peak time (mean of the Gaussian fit) and the PSTH halfwidth (2.3548 * sigma of the Gaussian fit).
Impact of single PYR neuron APs on neighboring PYR neurons
To study the effect of a single PYR neuron AP onto the local PYR neurons (including connected and unconnected PYR neurons), we analyzed 591 pairs of simultaneously recorded PYR neurons. We analyzed single evoked PYR neuron APs in UPstate. Pairs with >25 trials were included in the population average PSTH (Fig. 7: 113/591 pairs, in total 9513 trials). For the population average of the subthreshold response, we removed trials with spontaneous APs in the putative postsynaptic PYR neuron in a window −200 to 200 ms around the evoked AP (113/591 pairs, in total 7515 trials). To estimate the amplitude of the Vm response, we measure the Vm difference between the baseline (5–6 ms after the presynaptic AP time) and response (24–25 ms after the presynaptic AP time). The AP rate of the baseline was estimated in the window −30:0 ms and the AP rate of the response in the window 0:30 ms following the presynaptic AP.
Connectivity analysis is described in detail in ref. 16. To identify the presence of an excitatory monosynaptic connection for the rate analysis (Fig. 1d), we measured the response to an evoked PYR neuron AP in DOWNstate. To identify the presence of an inhibitory monosynaptic connection from PV and SST to PYRs, we used the single evoked AP postsynaptic response in periods of UPstate. Because of the strongly facilitating PYR to SST connection, we used single APs as well as trains of 5 APs delivered in DOWNstate to identify the presence of a connection from PYR to SST neurons. Kinetics analysis for uEPSPs and uIPSPs was performed on single AP evoked PSPs during UPstate.
Kinetics of uEPSP and uIPSPs
The kinetics of single mean uEPSPs and uIPSPs were measured and visually confirmed from the averaged response to a single AP during network activity. Latency was measured as the crossing point of an extrapolation of two linear fits: the first from −5 to −2 ms prior to the presynaptic AP; the second between time points corresponding to 20–80% of the uEPSP/uIPSP amplitude. Rise time was calculated as the difference in time between 20 and 80% of the peak of the uEPSP/uIPSP on the rising phase. Amplitude was calculated as the difference in Vm between the average Vm ± 0.5 ms around the peak response and the average Vm ± 0.5 ms around latency. Half-width was calculated as the difference in time between 50% of the rising phase and 50% of the decay phase of the response. Decay time was calculated as the difference between the time points on the decaying phase of the uEPSP/uIPSP corresponding to 20 and 80% of the peak amplitude as measured on the rising phase.
A non-parametric, two-tailed, Wilcoxon Mann–Whitney two-sample rank test was used for unpaired data and a non-parametric, two-tailed, Wilcoxon signed-rank test was used for paired data. The statistical significance of a postsynaptic response was assessed using an unpaired Wilcoxon Mann–Whitney two-sample rank. To test for correlations between features of uEPSPs, we used Pearson’s correlation coefficient r with t statistics. To check for interactions between synaptic gain, uEPSP amplitude and APThr – uEPSP Vm peak we used stepwise multiple linear regression. Values are given as mean ± s.e.m. unless otherwise stated. No statistical methods were used to predetermine the sample size. No randomization or blinding was performed in this study.
All relevant data are available from the authors.
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We thank Janett König for technical assistance. We thank Michael Brecht for discussions and Ad Aertsen, Alison Barth, Phillip Bokiniec, Michael Brecht, John Isaac, Philipp Schnepel, and Clarissa Whitmire for constructive comments on the manuscript. This work was funded by the European Research Council (ERC-2010-StG-260590, ERC-2015-CoG-682422, J.F.A.P.), the European Union (3x3Dimaging 323945), the Deutsche Forschungsgemeinschaft (DFG, Exc 257 NeuroCure, FOR 1341, FOR 2143, J.F.A.P.; Emmy-Noether KR 4062/4-1, J.K.), the Thyssen Foundation (J.F.A.P.), the Helmholtz Society (J.F.A.P.), and the Humboldt-Universität zu Berlin (J.K.).
The authors declare no competing interests.
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Jouhanneau, JS., Kremkow, J. & Poulet, J.F.A. Single synaptic inputs drive high-precision action potentials in parvalbumin expressing GABA-ergic cortical neurons in vivo. Nat Commun 9, 1540 (2018). https://doi.org/10.1038/s41467-018-03995-2
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