Update inhibition_model.md

paper/sections/new_inh_model/inhibition_model.md

@@ -57,10 +57,10 @@ With regards to the spectrogram, we covered the whole human audible range of sou
 For modeling of ANFs, we used the `pulse_packet_generator`, a built-in NEST device that produces a spike train containing Gaussian spike clusters centered around given times. 
 These devices mimic the actual behaviour of ANFs subjected to a pure tonal stimulus, which, like all other neuronal populations involved in sound processing, manifest a phase-locked response. The firing of these neurons tends to occur only at a certain restricted phase of the incoming sine wave of sound, due to the working principle of the inner hair cells placed in the cochlea [@Yin2019]. `pulse_packet_generator` allowed us to define the number of spikes in each packet (varying accordingly to the ILD), with spike times that are normally distributed with respect to the central time of the pulse. A source of noise was introduced by setting the standard deviation of the random displacement from the center of the pulse equal to 0.1 ms.
 
-All other cell populations were implemented through `iaf_cond_alpha models` (a simple implementation of a spiking neuron in NEST using integrate-and-fire dynamics with conductance-based synapses and a postsynaptic change of conductance modeled by an alpha function). With this model we implemented in a manner faithful to their biological counterparts the bushy cells (spherical and globular, SBCs and GBCs) located in the anteroventral part of the cochlear nuclei, the glycinergic neurons located in the medial and lateral trapezoidal body (MNTB and LNTB), and finally the main cells of the lateral superior olives (LSOs). All the default parameters of this NEST model were kept unchanged (see [](#table1)) apart from the membrane capacitance ‘C_m’, which was lowered to 1 pF to ensure sufficiently quick membrane time constants as seen experimentally in these neurons {cite:t}`Cao2007`. 
+All other cell populations were implemented through `iaf_cond_alpha models` (a simple implementation of a spiking neuron in NEST using integrate-and-fire dynamics with conductance-based synapses and a postsynaptic change of conductance modeled by an alpha function). With this model we implemented in a manner faithful to their biological counterparts the bushy cells (spherical and globular, SBCs and GBCs) located in the anteroventral part of the cochlear nuclei, the glycinergic neurons located in the medial and lateral trapezoidal body (MNTB and LNTB), and finally the main cells of the lateral superior olives (LSOs). All the default parameters of this NEST model were kept unchanged (see {ref}`iaf_data`.) apart from the membrane capacitance ‘C_m’, which was lowered to 1 pF to ensure sufficiently quick membrane time constants as seen experimentally in these neurons {cite:t}`Cao2007`. 
 
 ![iaf_cond_alpha parameters]
-(table1)=
+:label: iaf_data
 | **Parameter**          | **Value**        | **Description**                                   |
 |-------------------------|------------------|---------------------------------------------------|
 | C_m (pF)           | 250 pF           | Membrane capacitance                              |