Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems

30 March 2023

Papers citing "Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural Systems"

16 / 16 papers shown

Title
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes Aran Nayebi R. Rajalingham M. Jazayeri G. R. Yang 67 21 0 19 May 2023
Signal Propagation: A Framework for Learning and Inference In a Forward Pass Adam A. Kohan E. Rietman H. Siegelmann 60 27 0 04 Apr 2022
Maze Learning using a Hyperdimensional Predictive Processing Cognitive Architecture Alexander Ororbia Mary Alexandria Kelly AI4CE 50 2 0 31 Mar 2022
Associative Memories via Predictive Coding Tommaso Salvatori Yuhang Song Yujian Hong Simon Frieder Lei Sha Zhenghua Xu Rafal Bogacz Thomas Lukasiewicz 64 64 0 16 Sep 2021
Towards a Predictive Processing Implementation of the Common Model of Cognition Alexander Ororbia Mary Alexandria Kelly 30 2 0 15 May 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 333 670 0 21 Apr 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 83 70 0 16 Oct 2020
Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks Charlotte Frenkel M. Lefebvre D. Bol 38 23 0 03 Sep 2019
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning Adam A. Kohan E. Rietman H. Siegelmann 78 24 0 09 Aug 2018
Unsupervised Learning with Self-Organizing Spiking Neural Networks Hananel Hazan D. J. Saunders Darpan T. Sanghavi H. Siegelmann R. Kozma SSL 33 65 0 24 Jul 2018
Neuro-memristive Circuits for Edge Computing: A review O. Krestinskaya A. P. James L. Chua 54 203 0 01 Jul 2018
Learning to Adapt by Minimizing Discrepancy Alexander Ororbia P. Haffner David Reitter C. Lee Giles AI4TS 52 28 0 30 Nov 2017
Deep supervised learning using local errors Hesham Mostafa V. Ramesh Gert Cauwenberghs 58 114 0 17 Nov 2017
Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations Shihui Yin S. Venkataramanaiah Gregory K. Chen R. Krishnamurthy Yu Cao C. Chakrabarti Jae-sun Seo 48 59 0 19 Sep 2017
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 80 356 0 18 Aug 2016
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 93 350 0 23 Dec 2014