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Found 5 papers, 1 papers with code
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor
Although widely used in machine learning, backpropagation cannot directly be applied to SNN training and is not feasible on a neuromorphic processor that emulates biological neuron and synapses.
Multivariate Time Series Classification Using Spiking Neural Networks
A training algorithm to classify spatial temporal patterns is also proposed.
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level
Grounding free-form textual queries necessitates an understanding of these textual phrases and its relation to the visual cues to reliably reason about the described locations.
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
A bio-plausible SNN model with spatial-temporal property is a complex dynamic system.
High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
When the navigational environment is known, it can be represented as a graph where landmarks are nodes, the robot behaviors that move from node to node are edges, and the route is a set of behavioral instructions.
