Spiking Neural Networks - Groups

Synaptic plasticity

We implemented synaptic plasticity and show that while individual weights show small deviations due to stochastic rounding, the statistics of a learning rule are preserved.

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Loihi’s computational unit and its implementation

We dissect an individual computational unit from Loihi. The basic building block is a spiking unit inspired by a current based leaky integrate and ﬁre (LIF) neuron model.

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Brian2Loihi: An emulator for the neuromorphic chip Loihi

Developing intelligent neuromorphic solutions remains a challenging endeavour. It requires a solid conceptual understanding of the hardware’s fundamental building blocks. Beyond...

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Robust trajectory generation for robotic control on the neuromorphic research...

The anisotropic network is a spiking neural network model that generates spatially asymmetric non-plastic connections. The model is based on a biologically-inspired rule for...

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4 datasets found

Synaptic plasticity

Loihi’s computational unit and its implementation

Brian2Loihi: An emulator for the neuromorphic chip Loihi

Robust trajectory generation for robotic control on the neuromorphic research...