Towards Biologically Plausible Deep Learning

14 February 2015

Papers citing "Towards Biologically Plausible Deep Learning"

37 / 37 papers shown

Title
Bio-Inspired Mamba: Temporal Locality and Bioplausible Learning in Selective State Space Models Jiahao Qin Mamba AI4CE 28 1 0 17 Sep 2024
Exploring a Cognitive Architecture for Learning Arithmetic Equations Cole Gawin 19 0 0 05 May 2024
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply Chengting Yu Fengzhao Zhang Hanzhi Ma Aili Wang Er-ping Li 29 1 0 12 Dec 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 43 6 0 30 Jul 2023
Learning with augmented target information: An alternative theory of Feedback Alignment Huzi Cheng Joshua W. Brown CVBM 26 0 0 03 Apr 2023
Multi-level Data Representation For Training Deep Helmholtz Machines J. M. Ramos Luis Sa-Couto Andreas Wichert 18 0 0 26 Oct 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 26 0 0 01 Aug 2022
Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters O. Eidheim 9 1 0 02 May 2022
Gradients without Backpropagation A. G. Baydin Barak A. Pearlmutter Don Syme Frank Wood Philip Torr 38 66 0 17 Feb 2022
Deep Layer-wise Networks Have Closed-Form Weights Chieh-Tsai Wu A. Masoomi Arthur Gretton Jennifer Dy 29 3 0 01 Feb 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective Akhilan Boopathy Ila Fiete 39 9 0 15 Jun 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
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence Lana Sinapayen AI4CE 11 2 0 24 Feb 2021
Optimality of short-term synaptic plasticity in modelling certain dynamic environments Timoleon Moraitis Abu Sebastian E. Eleftheriou 19 12 0 15 Sep 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 103 0 12 Jun 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
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks Thomas Mesnard Gaetan Vignoud João Sacramento Walter Senn Yoshua Bengio 27 7 0 15 Nov 2019
Associated Learning: Decomposing End-to-end Backpropagation based on Auto-encoders and Target Propagation Yu-Wei Kao Hung-Hsuan Chen BDL 20 5 0 13 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe Peter O'Connor Bastiaan S. Veeling SSL 6 143 0 28 May 2019
Multi-layered Spiking Neural Network with Target Timestamp Threshold Adaptation and STDP Pierre Falez Pierre Tirilly Ioan Marius Bilasco P. Devienne Pierre Boulet 21 49 0 03 Apr 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 26 240 0 12 Jul 2018
BindsNET: A machine learning-oriented spiking neural networks library in Python Hananel Hazan D. J. Saunders Hassaan Khan Darpan T. Sanghavi H. Siegelmann R. Kozma AI4CE 30 229 0 04 Jun 2018
Biologically Motivated Algorithms for Propagating Local Target Representations Alexander Ororbia A. Mali 20 87 0 26 May 2018
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 12 1,057 0 22 Apr 2018
Sparse Unsupervised Capsules Generalize Better D. Rawlinson Abdelrahman Ahmed Gideon Kowadlo 36 49 0 17 Apr 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses Trieu H. Trinh Andrew M. Dai Thang Luong Quoc V. Le 35 179 0 01 Mar 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 21 13 0 28 Dec 2017
Transfer entropy-based feedback improves performance in artificial neural networks S. Herzog Christian Tetzlaff F. Worgotter 29 7 0 13 Jun 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces Wojciech M. Czarnecki G. Swirszcz Max Jaderberg Simon Osindero Oriol Vinyals Koray Kavukcuoglu 33 81 0 01 Mar 2017
Direct Feedback Alignment Provides Learning in Deep Neural Networks Arild Nøkland ODL 13 448 0 06 Sep 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 22 481 0 16 Feb 2016
How Important is Weight Symmetry in Backpropagation? Q. Liao Joel Z Leibo T. Poggio 20 167 0 17 Oct 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier 33 175 0 17 Aug 2015