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Date: 2017-05-18 12:57:06Neuroscience Computational neuroscience Nervous system Neural networks Artificial neural networks Neuroplasticity Computational statistics Spiking neural network Synaptic weight Spike-timing-dependent plasticity Neural circuit Hebbian theory | SYNAPTOGENESIS ON THE SPINNAKER, MAYEffects Of Real-time Synaptic Plasticity Using Spiking Neural Network ArchitectureAdd to Reading ListSource URL: shukla.ioDownload Document from Source WebsiteFile Size: 317,20 KBShare Document on Facebook |
Predictive Coding of Dynamical Variables in Balanced Spiking Networks Martin Boerlin1, Christian K. Machens2, Sophie Dene`ve1* 1 Group for Neural Theory, De´partement d’E´tudes Cognitives, E´cole Normale Supe´rieurDocID: 1qUhE - View Document | |
ARTICLE Communicated by Erkki Oja Synergies Between Intrinsic and Synaptic Plasticity MechanismsDocID: 1qfHE - View Document | |
Energy-efficient neuromorphic classifiers Daniel Mart´ı ∗ † , Mattia Rigotti ‡ † Mingoo Seok § and Stefano Fusi †DocID: 1oWPy - View Document | |
Spiking Neural Networks Introduction 3 v(t) (mV)DocID: 1oGUF - View Document | |
Evolving Neural Networks in Compressed Weight Space Jan Koutník Faustino Gomez Jürgen SchmidhuberDocID: 1o8WH - View Document |