Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity

24 February 2020

Jeff Clune

Papers citing "Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity"

23 / 23 papers shown

Title
MLGym: A New Framework and Benchmark for Advancing AI Research Agents Deepak Nathani Lovish Madaan Nicholas Roberts Nikolay Bashlykov Ajay Menon ... Tatiana Shavrina Jakob Foerster Yoram Bachrach William Yang Wang Roberta Raileanu LLMAG 88 8 0 21 Feb 2025
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason Eshraghian 36 52 0 18 May 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
Theory of coupled neuronal-synaptic dynamics David G. Clark L. F. Abbott 27 19 0 17 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 124 0 19 Jan 2023
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Biological connectomes as a representation for the architecture of artificial neural networks Samuel Schmidgall Catherine D. Schuman Maryam Parsa 23 2 0 28 Sep 2022
Short-Term Plasticity Neurons Learning to Learn and Forget Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 18 12 0 28 Jun 2022
Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks Samuel Schmidgall Joe Hays 44 3 0 25 Jun 2022
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks Samuel Schmidgall Joe Hays 22 4 0 07 Nov 2021
Context Meta-Reinforcement Learning via Neuromodulation Eseoghene Ben-Iwhiwhu Jeffery Dick Nicholas A. Ketz Praveen K. Pilly Andrea Soltoggio OffRL 45 12 0 30 Oct 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang Hao Tian Haoyi Xiong Hua Wu Jie Fu Yang Cao Yu Kang Haifeng Wang AI4CE 15 3 0 08 Sep 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 33 57 0 11 Jun 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 46 225 0 22 Feb 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 58 56 0 29 Dec 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 30 77 0 06 Jul 2020
Learning to Learn with Feedback and Local Plasticity Jack W Lindsey Ashok Litwin-Kumar CLL 34 32 0 16 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 34 86 0 05 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
Learning to Continually Learn Shawn L. E. Beaulieu Lapo Frati Thomas Miconi Joel Lehman Kenneth O. Stanley Jeff Clune Nick Cheney KELM CLL 46 147 0 21 Feb 2020
Meta-learnt priors slow down catastrophic forgetting in neural networks G. Spigler CLL 22 10 0 09 Sep 2019
Meta-Learning with Warped Gradient Descent Sebastian Flennerhag Andrei A. Rusu Razvan Pascanu Francesco Visin Hujun Yin R. Hadsell 8 209 0 30 Aug 2019