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Found 7 papers, 1 papers with code
Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir
This is due to the extremely non-linear dynamics of recurrent spiking neural networks.
HoME: a Household Multimodal Environment
We introduce HoME: a Household Multimodal Environment for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir
The use of electroencephalogram (EEG) as the main input signal in brain-machine interfaces has been widely proposed due to the non-invasive nature of the EEG.
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
While it is known that those embeddings are able to learn some structures of language (e. g. grammar) in a purely data-driven manner, there is very little work on the objective evaluation of their ability to cover the whole language space and to generalize to sentences outside the language bias of the training data.
AriEL: volume coding for sentence generation
This partially supports to the hypothesis that encoding information into volumes instead of into points, can lead to improved retrieval of learned information with random sampling.
AriEL: Volume Coding for Sentence Generation Comparisons
Then, we benchmark on a real dataset of human dialogues.
Self-Supervised Learning of Motion-Informed Latents
Our goal is to show that common Siamese networks can effectively be trained on video sequences to disentangle attributes related to pose and motion that are useful for video and non-video tasks, yet typically suppressed in usual training schemes.
