Spike-based causal inference for weight alignment

Spike-based causal inference for weight alignment

3 October 2019

Jordan Guerguiev

Konrad Paul Kording

Blake A. Richards

Papers citing "Spike-based causal inference for weight alignment"

15 / 15 papers shown

Title
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Constrained Parameter Inference as a Principle for Learning Nasir Ahmad Ellen Schrader Marcel van Gerven 18 10 0 22 Mar 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets M. Ernoult Fabrice Normandin A. Moudgil Sean Spinney Eugene Belilovsky Irina Rish Blake A. Richards Yoshua Bengio 19 28 0 31 Jan 2022
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons Paul Haider B. Ellenberger Laura Kriener Jakob Jordan Walter Senn Mihai A. Petrovici 27 24 0 27 Oct 2021
BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks Guangzhi Tang Neelesh Kumar Ioannis E. Polykretis Konstantinos Michmizos 23 6 0 27 Oct 2021
Credit Assignment in Neural Networks through Deep Feedback Control Alexander Meulemans Matilde Tristany Farinha Javier García Ordónez Pau Vilimelis Aceituno João Sacramento Benjamin Grewe 31 35 0 15 Jun 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 38 3 0 09 Jan 2021
Continual Learning with Deep Artificial Neurons Blake Camp J. Mandivarapu Rolando Estrada 18 8 0 13 Nov 2020
A Theoretical Framework for Target Propagation Alexander Meulemans Francesco S. Carzaniga Johan A. K. Suykens João Sacramento Benjamin Grewe AAML 27 77 0 25 Jun 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 34 32 0 16 Jun 2020
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error Nasir Ahmad Marcel van Gerven L. Ambrogioni AAML 15 25 0 11 Jun 2020
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment Maryam Parsa Catherine D. Schuman Prasanna Date Derek C. Rose Bill Kay ... Steven R. Young Ryan Dellana William M. Severa T. Potok Kaushik Roy 21 4 0 21 Apr 2020
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference Nasir Ahmad L. Ambrogioni Marcel van Gerven 13 2 0 09 Mar 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry D. Kunin Aran Nayebi Javier Sagastuy-Breña Surya Ganguli Jonathan M. Bloom Daniel L. K. Yamins 31 31 0 28 Feb 2020
Deep Learning without Weight Transport Mohamed Akrout Collin Wilson Peter C. Humphreys Timothy Lillicrap D. Tweed CVBM 29 131 0 10 Apr 2019