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A Spiking Neural Network Model for Sound Recognition
TLDR
This paper presents a spiking neural network (SNN) model of leaky integrate-and-fire neurons for sound recognition, which provides a way to simulate the brain processes. Expand
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Spike-based encoding and learning of spectrum features for robust sound recognition
TLDR
This paper proposes a spike-timing based model to encode and learn the LTF features extracted from sound spectrogram using spiking neural networks (SNNs), named LTF-SNN. Expand
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A neurally inspired pattern recognition approach with latency-phase encoding and precise-spike-driven rule in spiking neural network
TLDR
In this paper, we introduce a novel approach that uses both the latency-phase encoding and the precise-spike-driven (PSD) learning rule for pattern recognition. Expand
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An Event-Driven Computational System with Spiking Neurons for Object Recognition
TLDR
We propose a biologically plausible computational system using spiking neural networks for object recognition, which processes the data from a temporal contrast address event representation (AER) sensor and learns features entirely based on the timing spikes information. Expand
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YhcB (DUF1043), a novel cell division protein conserved across gamma-proteobacteria
YhcB, an uncharacterized protein conserved across gamma-proteobacteria, is composed predominantly of a single Domain of Unknown Function (DUF 1043) with an N-terminal transmembrane α-helix. Here, weExpand