ePoster · Computational Neuroscience
Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks
Yongxu Zhang · Neuromatch 5
Wed, Sep 28, 2022
Classification of behavior from multi-regional neural data sequentially in time can help in the early detection of behavior, which may provide important ways to provide corrective neural stimulation before the onset of behavior. Recurrent Neural Networks (RNNs) are designed for time-series data: they take in sequential inputs and predict the class of the sequence using recurrent hidden states that are able to retain a memory of previous inputs. However, standard RNNs cannot guarantee the classification at earlier points of the sequence; they are traditionally designed to achieve correct classi