Ching Fang

This paper introduces a recurrent network model of the hippocampus that generates barcodes to bind memory elements, reducing interference and enabling flexible retrieval.

This paper shows that a recurrent neural network can compute the successor representation when synaptic weights match transition probabilities, and demonstrates this with hippocampal data from random foraging.

This study shows that mice learn to control pyramidal tract (PT) motor cortex neurons more effectively than intra-telencephalic (IT) neurons using a calcium imaging-based brain-machine interface.