Distributed Representations Enable Robust Multi-Timescale Computation in Neuromorphic Hardware

no code implementations • 2 May 2024 • Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca

Programming recurrent spiking neural networks (RSNNs) to robustly perform multi-timescale computation remains a difficult challenge.

Vector Symbolic Finite State Machines in Attractor Neural Networks

no code implementations • 2 Dec 2022 • Madison Cotteret, Hugh Greatorex, Martin Ziegler, Elisabetta Chicca

Hopfield attractor networks are robust distributed models of human memory, but lack a general mechanism for effecting state-dependent attractor transitions in response to input.