ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.11252
  4. Cited By
Brain-inspired learning in artificial neural networks: a review

Brain-inspired learning in artificial neural networks: a review

18 May 2023
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason Eshraghian
ArXivPDFHTML

Papers citing "Brain-inspired learning in artificial neural networks: a review"

17 / 17 papers shown
Title
Can Local Representation Alignment RNNs Solve Temporal Tasks?
Can Local Representation Alignment RNNs Solve Temporal Tasks?
Nikolay Manchev
Luis C. Garcia-Peraza-Herrera
AI4TS
30
0
0
18 Apr 2025
Multiscale fusion enhanced spiking neural network for invasive BCI
  neural signal decoding
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
Yu Song
Liyuan Han
Bo Xu
Tielin Zhang
31
0
0
14 Sep 2024
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial
  General Intelligence
Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence
Teo Susnjak
Timothy R. McIntosh
A. Barczak
N. Reyes
Tong Liu
Paul Watters
Malka N. Halgamuge
32
3
0
04 Jul 2024
Autonomous Driving with Spiking Neural Networks
Autonomous Driving with Spiking Neural Networks
Rui-Jie Zhu
Ziqing Wang
Leilani H. Gilpin
Jason Eshraghian
31
6
0
30 May 2024
Benchmarking General-Purpose In-Context Learning
Benchmarking General-Purpose In-Context Learning
Fan Wang
Chuan Lin
Yang Cao
Yu Kang
30
1
0
27 May 2024
Growing Artificial Neural Networks for Control: the Role of Neuronal
  Diversity
Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
Eleni Nisioti
Erwan Plantec
Milton L. Montero
J. Pedersen
Sebastian Risi
21
1
0
14 May 2024
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural
  Networks
SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks
Sreyes P. Venkatesh
Razvan Marinescu
Jason Eshraghian
MQ
33
5
0
15 Apr 2024
Advancing Investment Frontiers: Industry-grade Deep Reinforcement
  Learning for Portfolio Optimization
Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio Optimization
Philip Ndikum
Serge Ndikum
46
1
0
27 Feb 2024
CORE: Mitigating Catastrophic Forgetting in Continual Learning through
  Cognitive Replay
CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay
Jianshu Zhang
Yankai Fu
Ziheng Peng
Dongyu Yao
Kun He
CLL
13
0
0
02 Feb 2024
To Spike or Not To Spike: A Digital Hardware Perspective on Deep
  Learning Acceleration
To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration
Fabrizio Ottati
Chang Gao
Qinyu Chen
Giovanni Brignone
M. Casu
Jason Eshraghian
Luciano Lavagno
25
18
0
27 Jun 2023
Eight challenges in developing theory of intelligence
Eight challenges in developing theory of intelligence
Haiping Huang
21
6
0
20 Jun 2023
A Computational Model of Learning Flexible Navigation in a Maze by
  Layout-Conforming Replay of Place Cells
A Computational Model of Learning Flexible Navigation in a Maze by Layout-Conforming Replay of Place Cells
Yuan Z Gao
14
1
0
18 Sep 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
342
1,588
0
10 Nov 2021
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep Learning
Jason Eshraghian
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
19
428
0
27 Sep 2021
Training Learned Optimizers with Randomly Initialized Learned Optimizers
Training Learned Optimizers with Randomly Initialized Learned Optimizers
Luke Metz
C. Freeman
Niru Maheswaranathan
Jascha Narain Sohl-Dickstein
41
12
0
14 Jan 2021
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
45
56
0
29 Dec 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
169
495
0
08 Apr 2018
1