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Spiking Neural Predictive Coding for Continual Learning from Data
  Streams
v1v2v3 (latest)

Spiking Neural Predictive Coding for Continual Learning from Data Streams

23 August 2019
Alexander Ororbia
ArXiv (abs)PDFHTML

Papers citing "Spiking Neural Predictive Coding for Continual Learning from Data Streams"

17 / 17 papers shown
A Practical Guide to Tuning Spiking Neuronal Dynamics
William R. Gebhardt
Alexander Ororbia
N. McDonald
Clare D. Thiem
Jack Lombardi
201
0
0
09 Jun 2025
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI SystemsDesign Automation Conference (DAC), 2025
M. Minhas
Rachmad Vidya Wicaksana Putra
Falah R. Awwad
Osman Hasan
Mohamed Bennai
303
2
0
21 Mar 2025
Tight Stability, Convergence, and Robustness Bounds for Predictive
  Coding Networks
Tight Stability, Convergence, and Robustness Bounds for Predictive Coding Networks
A. Mali
Tommaso Salvatori
Alexander Ororbia
303
6
0
07 Oct 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey
Predictive Coding Networks and Inference Learning: Tutorial and Survey
B. V. Zwol
Ro Jefferson
E. V. D. Broek
429
4
0
04 Jul 2024
A Review of Neuroscience-Inspired Machine Learning
A Review of Neuroscience-Inspired Machine Learning
Alexander Ororbia
A. Mali
Adam Kohan
Beren Millidge
Tommaso Salvatori
348
16
0
16 Feb 2024
A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian
  Learning and Free Energy Minimization
A Neuro-mimetic Realization of the Common Model of Cognition via Hebbian Learning and Free Energy Minimization
Alexander Ororbia
Mary Alexandria Kelly
AI4CE
249
4
0
14 Oct 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking
  Neural Networks
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2023
Yu-Zhu Guo
Xiaode Liu
Y. Chen
Liwen Zhang
Weihang Peng
Yuhan Zhang
Xuhui Huang
Zhe Ma
AAMLMQ
241
36
0
13 Aug 2023
Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of
  Spiking Neural Systems
Contrastive-Signal-Dependent Plasticity: Forward-Forward Learning of Spiking Neural SystemsScience Advances (Sci Adv), 2023
Alexander Ororbia
259
12
0
30 Mar 2023
A Novel Noise Injection-based Training Scheme for Better Model
  Robustness
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Zeliang Zhang
Jinyang Jiang
Minjie Chen
Zhiyuan Wang
Yijie Peng
Zhaofei Yu
289
3
0
17 Feb 2023
The Predictive Forward-Forward Algorithm
The Predictive Forward-Forward AlgorithmAnnual Meeting of the Cognitive Science Society (CogSci), 2023
Alexander Ororbia
A. Mali
513
43
0
04 Jan 2023
Convolutional Neural Generative Coding: Scaling Predictive Coding to
  Natural Images
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural ImagesAnnual Meeting of the Cognitive Science Society (CogSci), 2022
Alexander Ororbia
A. Mali
BDL
316
14
0
22 Nov 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for
  Sparse Reward Robotic Control Problems
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems
Alexander Ororbia
A. Mali
278
10
0
19 Sep 2022
Continuous learning of spiking networks trained with local rules
Continuous learning of spiking networks trained with local rules
D. Antonov
K. Sviatov
S. Sukhov
157
17
0
18 Nov 2021
Continual Learning with Echo State Networks
Continual Learning with Echo State NetworksThe European Symposium on Artificial Neural Networks (ESANN), 2021
Andrea Cossu
D. Bacciu
Antonio Carta
Claudio Gallicchio
Vincenzo Lomonaco
CLL
231
17
0
17 May 2021
Tightening the Biological Constraints on Gradient-Based Predictive
  Coding
Tightening the Biological Constraints on Gradient-Based Predictive CodingInternational Conference on Systems (ICONS), 2021
Nick Alonso
Emre Neftci
213
10
0
30 Apr 2021
Continual Learning for Recurrent Neural Networks: an Empirical
  Evaluation
Continual Learning for Recurrent Neural Networks: an Empirical EvaluationNeural Networks (NN), 2021
Andrea Cossu
Antonio Carta
Vincenzo Lomonaco
D. Bacciu
CLL
364
122
0
12 Mar 2021
The Neural Coding Framework for Learning Generative Models
The Neural Coding Framework for Learning Generative ModelsNature Communications (Nat Commun), 2020
Alexander Ororbia
Daniel Kifer
GAN
557
82
0
07 Dec 2020
1
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