Improv doc

docs-site/docs/neuron_models/fhn/README.md

@@ -1,4 +0,0 @@
-# Circuit implementing the fhn neuron.
-
-- The circuits in the schematics implement the FHN neuron described.
-- The FHN neuron is an implementation of the circuit described in (Ribar, L. (2019). Synthesis of neuromorphic circuits with neuromodulatory properties [Apollo - University of Cambridge Repository]. https://doi.org/10.17863/CAM.53750). The OTA and CMFB are well known designs that can be found in textbooks.

docs-site/docs/neuron_models/fhn/index.md

@@ -1,5 +1,10 @@
 # FitzHugh-Nagumo
 
+# Circuit implementing the fhn neuron.
+
+- The circuits in the schematics implement the FHN neuron described.
+- The FHN neuron is an implementation of the circuit described in (Ribar, L. (2019). Synthesis of neuromorphic circuits with neuromodulatory properties [Apollo - University of Cambridge Repository]. [DOI: 10.17863/CAM.53750](https://doi.org/10.17863/CAM.53750)). The OTA and CMFB are well known designs that can be found in textbooks.
+
 ## Circuit equation
 
 $$
@@ -15,6 +20,7 @@ where the currents are:
 - $I_{fast} = a_{fast} \tanh(v - v_{off,fast})$
 - $I_{slow} = a_{slow} \tanh(v_{slow} - v_{off,slow})$
 
+
 ## Examples
 
 See the following interactive notebook for a practical example:

docs-site/docs/neuron_models/lif/index.md

@@ -2,6 +2,6 @@
 ## Circuit Design
 W/L = 4/3
 ## Circuit Simulation
-![lif, output plot](/docs-site/docs/img/lif_plot.png) Fig.1 The dynamics of leaky integrate and fire neuron. The grey signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.
+![lif, output plot](lif_plot.png) Fig.1 The dynamics of leaky integrate and fire neuron. The grey signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.
 ## Referennces
 1. Sourikopoulos I, Hedayat S, Loyez C, Danneville F, Hoel V, Mercier E and Cappy A (2017) A 4-fJ/Spike Artificial Neuron in 65 nm CMOS Technology. Front. Neurosci. 11:123. doi: 10.3389/fnins.2017.00123

docs-site/docs/neuron_models/snowball/index.md

@@ -7,7 +7,7 @@ Input current mirror W/l = 0.2 <br>
 All other transistors W/L = 4/3
 ## Circuit Simulation
 
-![snowball, output plot](/docs-site/docs/img/exif_plot.png) Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.
+![snowball, output plot](exif_plot.png) Fig.1 The dynamics of Exponential integrate and fire neuron. The light blue signal is the input spikes, the yellow signal is the membrane potential and the dark blue is the output spikes from the neuron.
 ## References
 1. Rubino, Arianna, Melika Payvand, and Giacomo Indiveri. "Ultra-low power silicon neuron circuit for extreme-edge neuromorphic intelligence." 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2019.
 2. Bartolozzi, Chiara, Srinjoy Mitra, and Giacomo Indiveri. "An ultra low power current-mode filter for neuromorphic systems and biomedical signal processing." 2006 IEEE Biomedical Circuits and Systems Conference. IEEE, 2006.