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Found 4 papers, 1 papers with code
Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design
We present a fast generative modeling approach for resistive memories that reproduces the complex statistical properties of real-world devices.
Sequence learning in a spiking neuronal network with memristive synapses
In this work, we study the feasibility of using ReRAM devices as a replacement of the biological synapses in the sequence learning model.
Coherent noise enables probabilistic sequence replay in spiking neuronal networks
Animals rely on different decision strategies when faced with ambiguous or uncertain cues.
Sequence learning, prediction, and replay in networks of spiking neurons
These subnetworks provide the substrate for a faithful propagation of sparse, synchronous activity, and, thereby, for a robust, context specific prediction of future sequence elements as well as for the autonomous replay of previously learned sequences.
