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Showing 1 to 5 of 5 for “"spike encoding"”.

  1. From Encoding to Decoding: Advancing Spiking Neural Network Technology for Improved Learning

    … (SNNs) process information through discrete spike events, yet most existing encoders focus solely on converting data into spikes without verifying whether the original signal can be faithfully recovered. Reconstruction matters for SNNs because spike encoding is inherently lossy: …

    auckland-tech Repository record for From Encoding to Decoding: Advancing Spiking Neural Network Technology for Improved Learning (opens in a new tab)

  2. Design and FPGA Implementation of Optimized and Digital Multiplexing Spiking Encoders for Neuromorphic Computing

    … monitoring. A crucial step in this process is spike encoding, which converts continuous input signals into discrete spike trains. This encoding not only preserves temporal features of the spectrum but also allows the reservoir to exploit time-dependent dynamics for richer representations. By …

    vt Repository record for Design and FPGA Implementation of Optimized and Digital Multiplexing Spiking Encoders for Neuromorphic Computing (opens in a new tab)

  3. Optimizing Reservoir Computing Architecture for Dynamic Spectrum Sensing Applications

    … hardware. Through the adoption of triplet-based Spike-Timing-Dependent Plasticity (STDP) and various spike encoding schemes on the spectrum dataset within the LSM, we investigate the advantages offered by these proposed techniques compared to traditional LSM models on the FPGA. FPGA boards, known …

    vt Repository record for Optimizing Reservoir Computing Architecture for Dynamic Spectrum Sensing Applications (opens in a new tab)

  4. Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data

    … data which consists of four main modules: a spike encoding module, a recurrent SNN reservoir, an output module, and an optimization module. Despite it has been utilised on many various applications, most improvement of the architecture focuses on user experience rather than improving the …

    uthm Repository record for Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data (opens in a new tab)