2022
DOI: 10.1101/2022.10.14.511519
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A Local Hebbian Rule Based Neural Network Model of Invariant Object Representation and Classification

Abstract: Our recognition of an object is consistent across conditions, unaffected by motion, perspective, rotation, and corruption. This robustness is thought to be enabled by invariant object representations, but how the brain achieves it remains unknown. In artificial neural networks, learning to represent objects is simulated as an optimization process. The system reduces discrepancies between actual and desired outputs by updating specific connections through mechanisms such as error backpropagation. These operatio… Show more

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