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Showing 1 to 3 of 3 for “"liquid state machine"”.

  1. Biologically inspired goal directed navigation for mobile robots

    … and a bio-inspired approach using an Echo State Network and Liquid State Machine architecture was chosen as the base for the navigation modules. The navigation module implemented in this work is trained to navigate and localise itself in different environments drawing its inspiration from …

    cape-town Repository record for Biologically inspired goal directed navigation for mobile robots (opens in a new tab)

  2. Optimizing Reservoir Computing Architecture for Dynamic Spectrum Sensing Applications

    … high Signal-to-Noise Ratio (SNR). Leveraging Liquid State Machines (LSMs), which emulate spiking neural networks like the ones in the human brain, prove to be highly effective for real-time data monitoring for such temporal tasks. The inherent advantages of LSM-based recurrent neural networks, …

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

  3. Improving Liquid State Machines Through Iterative Refinement of the Reservoir

    <p>Liquid State Machines (LSMs) exploit the power of recurrent spiking neural networks (SNNs) without training the SNN. Instead, a reservoir, or liquid, is randomly created which acts as a filter for a readout function. We develop three methods for iteratively refining a randomly generated liquid

    byu Repository record for Improving Liquid State Machines Through Iterative Refinement of the Reservoir (opens in a new tab)