![]() That can be more efficient than the ones that use weights for computation. Paradigm for training spiking neural networks and sets the stage for models Weĭemonstrate the task performance of delay-only training on MNIST andįashion-MNIST datasets in preliminary experiments. Networks' ability to solve the tasks using only the synaptic delays. Moreover, furtherĬonstraining the weights to ternary values does not significantly affect the We show that training ONLY the delays inįeed-forward spiking networks using backpropagation can achieve performanceĬomparable to the more conventional weight training. Razer Synapse is our unified configuration software that allows you to rebind controls or assign macros to any of your Razer peripherals and saves all your settings automatically to the cloud. Further updates will be announced here, the Discord announcements channel, and our Telegram channel. ![]() Inspired byīiology, we explore the feasibility and power of using synaptic delays to solveĬhallenging tasks even when the synaptic weights are not trained but kept at Download Razer Unified Configuration Software. Synapse X (V2/V3) is currently down due to the 64-bit client being released. Medium timescales plays an important role in learning in the brain. Grappolini and Anand Subramoney Download PDF Abstract: Biological evidence suggests that adaptation of synaptic delays on short to Download a PDF of the paper titled Beyond Weights: Deep learning in Spiking Neural Networks with pure synaptic-delay training, by Edoardo W.
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