Print Email Facebook Twitter Temporary memory neuron for the leaky integrate and fire neuron model Part of: 20th International Symposium on Aviation Psychology (ISAP 2019)· list the conference papers Title Temporary memory neuron for the leaky integrate and fire neuron model Author Clark, J.D. (Riverside Research) Mitchell, W.D. (Riverside Research) Vemuru, K.V. (Riverside Research) Harbour, S.D. (Riverside Research) Date 2019-05-07 Abstract Low-level terrain-following systems require the ability to rapidly and accurately respond to the environment to prevent inadvertent actions. Catastrophic and fatal results could occur if missed cues or latency issues in data processing are encountered. Spiking neural networks (SNNs) have the computational ability to continuously process spike trains from rapid sensory input. However, most models of SNNs do not retain information from the spike train of a previous time step because the membrane potential is rapidly reset to a resting potential after activation. A novel approach is presented, allowing the spike train of a previous time step to be 'remembered.' Results are presented showing rapid onset of a membrane potential that exceeds the threshold and spikes in the presence of the same continuous spike train without the latency of increasing the membrane potential from its resting state. To reference this document use: http://resolver.tudelft.nl/uuid:c915a202-785f-497d-8f10-1e7b3fbdbc44 Part of collection Conference proceedings Document type conference paper Rights (c) 2019 the author(s) Files PDF TEMPORARY MEMORY NEURON F ... NEURON.pdf 816.9 KB Close viewer /islandora/object/uuid:c915a202-785f-497d-8f10-1e7b3fbdbc44/datastream/OBJ/view