FIPPA: The Functional Interplay between Plasticity Processes on Arbor

The goal of the FIPPA project was to extend the neural network simulator Arbor by key plasticity processes that allow to simulate and analyze the long-term adaptive dynamics of large-scale, morphologically-detailed neuronal networks. The models were ported and augmented in correspondence to neuro-theoretical investigations by the Tetzlaff research group at University of Göttingen.

Arbor implementations -- output of FIPPA

• Spike-timing-dependent plasticity (STDP)
• Spike-based homeostasis
• Adaptive exponential integrate-and-fire (AdEx) neuron
• Synaptic tagging and capture (STC) in recurrent networks of point neurons

Arbor implementations -- based on FIPPA

• Calcium-based synaptic plasticity
• Heterosynaptic calcium-based plasticity in dendrites
• Synaptic tagging and capture (STC) in recurrent networks of morphological neurons