Artificial Neural models McCulloch Pitts-type Neurons(static) Digital neurons: activation state interpretation (Snapshot of the system each time a unit fires Analog neurons: firing rate interpretation (activation of units equal to firing rate Activation of neurons encodes information Spiking Neurons(dynamic) Firing pattern interpretation(spike trains of units Timing of spike trains encodes information (time to first spike, phase of signal, correlation and synchronic 02/02/2021 Artificial Neural Networks02/02/2021 Artificial Neural Networks - I 10 Artificial Neural Models • McCulloch Pitts-type Neurons (static) – Digital neurons: activation state interpretation (snapshot of the system each time a unit fires) – Analog neurons: firing rate interpretation (activation of units equal to firing rate) – Activation of neurons encodes information • Spiking Neurons (dynamic) – Firing pattern interpretation (spike trains of units) – Timing of spike trains encodes information (time to first spike, phase of signal, correlation and synchronicity