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206 Détection de coïncidences dans les neurones bruités<br />

a<br />

200 pA<br />

b<br />

20 mV<br />

c<br />

d<br />

e<br />

50 ms<br />

I<br />

V raw<br />

V model<br />

V e<br />

V compensated<br />

Figure 8.2 – Electrode compensation. a. A fluctuating current is injected (here, background<br />

noise plus large PSCs). b. Raw recorded voltage trace. c. A linear model of the neuron and<br />

electrode is fitted to the raw trace. Spikes are detected on the difference between raw recording<br />

(b) and linear prediction (c). d. Electrode response with the fitted model. e. Compensated<br />

trace, obtained by subtracting the electrode trace (d) from the raw trace (b).<br />

rosilicate glass microelectrodes with a final tip resistance of 5–10 MΩ. The signals<br />

were filtered with a low-pass 4-pole Bessel filter at 10 kHz, sampled at 20 kHz and<br />

digitized using a Digidata 1422A interface (Axon Instruments, Foster City, CA,<br />

U.S.A). Capacitance neutralization was not fully applied, as it was not necessary<br />

for this study. The resting membrane potential of recorded cells varied between<br />

-75 mV and -63.5 mV (average -70 mV).<br />

8.2.3 Electrode compensation<br />

Because we injected highly fluctuating currents (see Figure 8.2a), the electrode<br />

produced artifacts that could not be well corrected with standard bridge compensation<br />

(Brette et al. 2008) (see Figure 8.2b) : indeed, in addition to simulated<br />

synaptic noise, we injected large exponentially decaying EPSCs (instantaneous<br />

rise), and therefore currents were discontinuous. In addition, recordings in the<br />

same cell were long (up to a few hours) and electrode properties changed during<br />

the course of the experiment (typically, the electrode resistance increased) : in<br />

the experiments shown in Figure 8.9b (done after a couple of hours of recording

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