Biologically-Plausible Spiking Neural Networks For Object Recognition
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About The Author

Milad Mozafari currently works at the School of Mathematics, Statistics and Computer Sciences, University of Tehran. Milad does research in Computational Neuroscience, Artificial Intelligence, Reinforcement Learning, and Algorithms. Their current project is 'STDP-based Spiking Deep Neural Networks.'

                       

Biologically-Plausible Spiking Neural Networks For Object Recognition

Primates are so fast and accurate in understanding the surrounding visual world. Their visual cortex lets them do invariant object recognition in just 100-150ms . Some scientists believe that this rapid process leaves no room for time-consuming neural computations, such as detecting firing rates or the intervention of feedback signals. Instead, they suggest that the earliest spikes carry the most important information about the visual object and would be enough to do invariant object recognition . In 2007, Masquelier and...

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