Long short-term memory and learning-to-learn in networks of spiking neurons

26 March 2018

Papers citing "Long short-term memory and learning-to-learn in networks of spiking neurons"

26 / 76 papers shown

Title
Fitting summary statistics of neural data with a differentiable spiking network simulator G. Bellec Shuqi Wang Alireza Modirshanechi Johanni Brea W. Gerstner 26 11 0 18 Jun 2021
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons Dongcheng Zhao Yi Zeng Yang Li 21 40 0 27 May 2021
Many-Joint Robot Arm Control with Recurrent Spiking Neural Networks Manuel Traub R. Legenstein S. Otte 9 7 0 08 Apr 2021
A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards Emmanouil Angelidis Emanuel Buchholz Jonathan Arreguit A. Rougé T. Stewart Axel Von Arnim Alois C. Knoll A. Ijspeert 25 28 0 18 Jan 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 21 110 0 26 Nov 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 31 87 0 22 Oct 2020
Revisiting Batch Normalization for Training Low-latency Deep Spiking Neural Networks from Scratch Youngeun Kim Priyadarshini Panda 22 170 0 05 Oct 2020
Optimality of short-term synaptic plasticity in modelling certain dynamic environments Timoleon Moraitis A. Sebastian E. Eleftheriou 11 12 0 15 Sep 2020
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen T. Masquelier Tiejun Huang Yonghong Tian 47 503 0 11 Jul 2020
Long Short-Term Memory Spiking Networks and Their Applications Ali Lotfi-Rezaabad S. Vishwanath 6 62 0 09 Jul 2020
Multi-Tones' Phase Coding (MTPC) of Interaural Time Difference by Spiking Neural Network Zihan Pan Malu Zhang Jibin Wu Haizhou Li 17 9 0 07 Jul 2020
A bio-inspired bistable recurrent cell allows for long-lasting memory Nicolas Vecoven D. Ernst G. Drion RALM 13 18 0 09 Jun 2020
Training Deep Spiking Neural Networks Eimantas Ledinauskas J. Ruseckas Alfonsas Jursenas Giedrius Burachas 13 54 0 08 Jun 2020
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 24 86 0 05 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 10 99 0 24 May 2020
Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System Andreas Grübl Sebastian Billaudelle Benjamin Cramer V. Karasenko Johannes Schemmel 17 33 0 25 Mar 2020
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition Jibin Wu Emre Yilmaz Malu Zhang Haizhou Li Kay Chen Tan 25 104 0 19 Nov 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization Priyadarshini Panda Sai Aparna Aketi Kaushik Roy 16 35 0 30 Oct 2019
Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection Flavio Martinelli Giorgia Dellaferrera Pablo Mainar Milos Cernak 11 29 0 22 Oct 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang Peng Li 11 123 0 18 Aug 2019
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation Iulia Comsa Krzysztof Potempa Luca Versari T. Fischbacher Andrea Gesmundo J. Alakuijala 23 173 0 30 Jul 2019
Reinforcement Learning with Low-Complexity Liquid State Machines Wachirawit Ponghiran G. Srinivasan Kaushik Roy 9 14 0 04 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 11 32 0 03 Jun 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron Milad Mozafari M. Ganjtabesh A. Nowzari-Dalini T. Masquelier 28 97 0 06 Mar 2019
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 15 114 0 21 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 320 11,681 0 09 Mar 2017