Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The invariance of an objects' identity as it transformed over time provides a porful cue for perceptual learning.  present an unsupervised learning procedure which maximizes the mutual information beten the representations adopted by a feed-forward network at consecutive time steps.  demonstrate that the network can learn, entirely unsupervised, to classify an ensemble of several patterns by observing pattern trajectories, even though there are abrupt transitions from one object to another beten trajectories. The same learning procedure should be widely applicable to a variety of perceptual learning tasks.
['Suzanna Becker']
I am writing a research paper on a idea Learning to categorize objects using temporal coherence
[{"from": "human", "value": "I am writing a research paper on a idea Learning to categorize objects using temporal coherence"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The invariance of an objects' identity as it transformed over time provides a porful cue for perceptual learning.  present an unsupervised learning procedure which maximizes the mutual information beten the representations adopted by a feed-forward network at consecutive time steps.  demonstrate that the network can learn, entirely unsupervised, to classify an ensemble of several patterns by observing pattern trajectories, even though there are abrupt transitions from one object to another beten trajectories. The same learning procedure should be widely applicable to a variety of perceptual learning tasks."}]