Activation and Synaptic Dynamics topics include: Learning basics and laws, dynamics and activation models, pattern recognition and stability concepts. An Activation Function decides whether a neuron should be activated or not. This means that it will decide whether the neuron's input to the network is important or not in the process of prediction using simpler mathematical operations. Synaptic dynamics describes the time-dependent changes in synaptic currents that alter the strength of coupling between neurons. Various mechanisms, both pre- and postsynaptic, contribute to ongoing changes of... Show more Activation and Synaptic Dynamics topics include: Learning basics and laws, dynamics and activation models, pattern recognition and stability concepts. An Activation Function decides whether a neuron should be activated or not. This means that it will decide whether the neuron's input to the network is important or not in the process of prediction using simpler mathematical operations. Synaptic dynamics describes the time-dependent changes in synaptic currents that alter the strength of coupling between neurons. Various mechanisms, both pre- and postsynaptic, contribute to ongoing changes of synaptic currents and modulate the overall network activity. Show less
Activation and Synaptic Dynamics topics include: Learning basics and laws, dynamics and activation models, pattern recognition and stability concepts.
An Activation Function decides whether a neuron should be activated or not. This means that it will decide whether the neuron's input to the network is important or not in the process of prediction using simpler mathematical operations.
Synaptic dynamics describes the time-dependent changes in synaptic currents that alter the strength of coupling between neurons. Various mechanisms, both pre- and postsynaptic, contribute to ongoing changes of synaptic currents and modulate the overall network activity.
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