Update README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>

advanced_studies/CTC_2017/README.md

@@ -1,22 +1,22 @@
 # Oscillations and information routing: CTC model
 
-***Oscillatory activity is ubiquitous throughout the brain and has been hypothesized to carry out multiple crucial functional roles, for example, a basic information routing mechanism. One of the proposed mechanisms, communication through coherence (CTC), postulates that stimulus information transmission is enhanced between oscillating neural populations in a favorable phase relationship, and suppressed otherwise (see [6] for in-depth overview). In this mini-project, you will implement a simple network model which realizes gating of information by mutual synchronization (and de-synchronization) of neural populations.**
+**Oscillatory activity is ubiquitous throughout the brain and has been hypothesized to carry out multiple crucial functional roles, for example, a basic information routing mechanism. One of the proposed mechanisms, communication through coherence (CTC), postulates that stimulus information transmission is enhanced between oscillating neural populations in a favorable phase relationship, and suppressed otherwise (see [6] for in-depth overview). In this mini-project, you will implement a simple network model which realizes gating of information by mutual synchronization (and de-synchronization) of neural populations.**
 
 
 In support of CTC, an experimental study has shown that V1 and V4 neuron populations exhibit increased synchrony in their rhythmic activity in the gamma-band when performing a visual spatial attention task [4]. In this particular example, CTC poses that V1 spikes arriving to V4 during its excitability peaks should be much more likely to elicit further spikes, resulting in effective signal gating, whereas V1 spikes arriving during excitability troughs should fail or at least be less effective in evoking further activity. In this manner, by setting a proper phase relationship between the rhythmic activity of two neuron populations, CTC allows to either attend or ignore a stimulus.
 
 
 ![1CTC.png](1CTC.png)
 
-Communication through coherence (Fries 2015)
+***Communication through coherence (Fries 2015)***
 
 In this project, you will eventually construct a simple model that recreates the basic neural activity from the experimental setup in [1,4]. Further, using the model, you will test the merits and plausibility of CTC, as well as make inferences about what the mechanism requires to function properly (and hence make predictions about what the brain's neural activity should look like if the CTC mechanism is truly employed).
 
 In the experiment, two stimuli were shown simultaneously to the test subject, such that each stimulus was primarily driving its own distinct V1 population, while both were present in the V4 recording's receptive field. With this in mind, the final model consists of three populations - two V1 populations with feedforward connections to a single V4 population (Fig. 2 top). Each population consists of a group of excitatory and inhibitory neurons.
 
 ![WC_fig2_XYZ.png](WC_fig2_XYZ.png)
 
-Model setup
+***Model setup***
 
 The rhythmic behavior of local populations may stem from two basic circuits: ING and PING [3]. In the ING circuit, the rhythmic activity is realized exclusively by the inhibitory population, whereas in the PING mechanism the oscillations occur as pull-push dynamics between the excitatory and inhibitory groups of neurons (Fig. 2 bottom).