Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1810.11393
Cited By
Dendritic cortical microcircuits approximate the backpropagation algorithm
26 October 2018
João Sacramento
Rui Ponte Costa
Yoshua Bengio
Walter Senn
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Dendritic cortical microcircuits approximate the backpropagation algorithm"
50 / 131 papers shown
Teaching signal synchronization in deep neural networks with prospective neurons
Nicoas Zucchet
Qianqian Feng
Axel Laborieux
Friedemann Zenke
Walter Senn
João Sacramento
69
0
0
18 Nov 2025
Dopamine-driven synaptic credit assignment in neural networks
Saranraj Nambusubramaniyan
Shervin Safavi
Raja Guru
Andreas Knoblauch
125
0
0
25 Oct 2025
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
Jesus Garcia Fernandez
Nasir Ahmad
Marcel van Gerven
AI4CE
259
0
0
21 Oct 2025
Single layer tiny Co
4
^4
4
outpaces GPT-2 and GPT-BERT
Noor Ul Zain
Mohsin Raza
Ahsan Adeel
MoE
ALM
ELM
VLM
183
0
0
09 Oct 2025
Biologically Plausible Learning via Bidirectional Spike-Based Distillation
Changze Lv
Y. Wang
Y. Zhang
Yiyang Lu
Jingwen Xu
Di Yu
Xin Du
Xuanjing Huang
Xiaoqing Zheng
136
0
0
24 Sep 2025
Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
Yuhan Helena Liu
Guangyu Robert Yang
Christopher J. Cueva
253
0
0
07 Jun 2025
Beyond Attention: Toward Machines with Intrinsic Higher Mental States
Ahsan Adeel
OffRL
LRM
168
1
0
02 May 2025
Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models
International Conference on Human Factors in Computing Systems (CHI), 2025
Nava Haghighi
Sunny Yu
James Landay
Daniela Rosner
196
0
0
03 Apr 2025
From Worms to Mice: Homeostasis Maybe All You Need
Jesus Marco de Lucas
97
0
0
31 Dec 2024
A Unified Framework for Neural Computation and Learning Over Time
S. Melacci
Alessandro Betti
Michele Casoni
Tommaso Guidi
Matteo Tiezzi
Marco Gori
AI4TS
333
0
0
18 Sep 2024
An Overlooked Role of Context-Sensitive Dendrites
Mohsin Raza
Ahsan Adeel
235
2
0
20 Aug 2024
Deep Learning without Weight Symmetry
Ji-An Li
M. Benna
332
2
0
31 May 2024
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
Lars Graf
Zhe Su
Giacomo Indiveri
332
1
0
22 May 2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations
Frontiers in Neuroscience (Front. Neurosci.), 2024
Jesus Garcia Fernandez
Sander Keemink
Marcel van Gerven
AAML
257
9
0
14 May 2024
Lightweight Inference for Forward-Forward Algorithm
Amin Aminifar
Baichuan Huang
Azra Abtahi
Amir Aminifar
498
4
0
08 Apr 2024
Backpropagation through space, time, and the brain
B. Ellenberger
Paul Haider
Jakob Jordan
Kevin Max
Ismael Jaras
Laura Kriener
Federico Benitez
Mihai A. Petrovici
484
10
0
25 Mar 2024
Two Tales of Single-Phase Contrastive Hebbian Learning
R. Høier
Christopher Zach
209
2
0
13 Feb 2024
Nature-Inspired Local Propagation
Alessandro Betti
Marco Gori
AI4CE
271
0
0
04 Feb 2024
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
James Hazelden
Yuhan Helena Liu
Eli Shlizerman
E. Shea-Brown
368
6
0
17 Nov 2023
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity
Neural Information Processing Systems (NeurIPS), 2023
Julian Rossbroich
Friedemann Zenke
235
5
0
30 Oct 2023
How connectivity structure shapes rich and lazy learning in neural circuits
International Conference on Learning Representations (ICLR), 2023
Yuhan Helena Liu
A. Baratin
Jonathan H. Cornford
Stefan Mihalas
E. Shea-Brown
Guillaume Lajoie
408
22
0
12 Oct 2023
Intrinsic Biologically Plausible Adversarial Robustness
Matilde Tristany Farinha
Thomas Ortner
Giorgia Dellaferrera
Benjamin Grewe
A. Pantazi
AAML
460
0
0
29 Sep 2023
Confidence and second-order errors in cortical circuits
PNAS Nexus (PNAS Nexus), 2023
Arno Granier
Yixuan Zhang
Walter Senn
Dong Yu
284
4
0
27 Sep 2023
Meta predictive learning model of languages in neural circuits
Physical Review E (PRE), 2023
Chan Li
Junbin Qiu
Haiping Huang
MILM
262
1
0
08 Sep 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
International Conference on Learning Representations (ICLR), 2023
Axel Laborieux
Friedemann Zenke
365
9
0
05 Sep 2023
Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
Yanis Bahroun
Shagesh Sridharan
Atithi Acharya
D. Chklovskii
Anirvan M. Sengupta
184
0
0
02 Aug 2023
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning
Yanis Bahroun
D. Chklovskii
Anirvan M. Sengupta
187
1
0
02 Aug 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
183
21
0
30 Jul 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory
Nature Communications (Nat. Commun.), 2023
Nick Alonso
J. Krichmar
248
13
0
27 Jul 2023
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering
Conference and Labs of the Evaluation Forum (CLEF), 2023
T. M. Thai
A. T. Vo
Hao K. Tieu
Linh Bui
T. Nguyen
142
5
0
06 Jul 2023
Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Michalis Pagkalos
R. Makarov
Panayiota Poirazi
AI4CE
194
17
0
13 Jun 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Neural Information Processing Systems (NeurIPS), 2023
Bariscan Bozkurt
Cengiz Pehlevan
A. Erdogan
278
3
0
07 Jun 2023
Computation with Sequences in a Model of the Brain
Neural Computation (Neural Comput.), 2023
M. Dabagia
Christos H. Papadimitriou
Santosh Vempala
AIMat
137
4
0
06 Jun 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
Abdullah Makkeh
Marcel Graetz
Andreas C. Schneider
David A. Ehrlich
V. Priesemann
Michael Wibral
274
12
0
03 Jun 2023
A method for the ethical analysis of brain-inspired AI
Artificial Intelligence Review (AIR), 2023
M. Farisco
Gianluca Baldassarre
Emilio Cartoni
A. Leach
Mihai A. Petrovici
A. Rosemann
Arleen Salles
B. Stahl
Sacha Jennifer van Albada
151
6
0
18 May 2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Neural Computation (Neural Comput.), 2023
Umais Zahid
Qinghai Guo
Zafeirios Fountas
BDL
209
13
0
05 Apr 2023
Competitive plasticity to reduce the energetic costs of learning
bioRxiv (bioRxiv), 2023
Mark C. W. van Rossum
113
5
0
04 Apr 2023
Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
David Lipshutz
Yanis Bahroun
Siavash Golkar
Anirvan M. Sengupta
D. Chklovskii
333
6
0
20 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
International Conference on Learning Representations (ICLR), 2023
Y. Duan
Zhongfan Jia
Qian Li
Yi Zhong
Kaisheng Ma
AAML
207
3
0
07 Feb 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
International Conference on Machine Learning (ICML), 2023
R. Høier
D. Staudt
Christopher Zach
449
12
0
02 Feb 2023
Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
Neural Networks (Neural Netw.), 2023
Yinqian Sun
Feifei Zhao
Feifei Zhao
Zhuoya Zhao
173
6
0
18 Jan 2023
Learning efficient backprojections across cortical hierarchies in real time
Kevin Max
Laura Kriener
Garibaldi Pineda García
Thomas Nowotny
Ismael Jaras
Walter Senn
Mihai A. Petrovici
OOD
286
18
0
20 Dec 2022
Emergent Computations in Trained Artificial Neural Networks and Real Brains
Journal of Instrumentation (JINST), 2022
Néstor Parga
Luis Serrano-Fernández
Joan Falcó-Roget
LRM
126
6
0
09 Dec 2022
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry
Yukun Yang
Peng Li
ODL
238
1
0
01 Dec 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
International Conference on Learning Representations (ICLR), 2022
Tommaso Salvatori
Yuhang Song
Yordan Yordanov
Beren Millidge
Zheng R. Xu
Lei Sha
Cornelius Emde
Rafal Bogacz
Thomas Lukasiewicz
322
17
0
16 Nov 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways
Nature Communications (Nat Commun), 2022
Navid Shervani-Tabar
Robert Rosenbaum
AI4CE
429
24
0
28 Oct 2022
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
Ahsan Adeel
A. Adetomi
K. Ahmed
Amir Hussain
T. Arslan
William A. Phillips
348
15
0
24 Oct 2022
Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits
Lyes Khacef
Philipp Klein
M. Cartiglia
Arianna Rubino
Giacomo Indiveri
Elisabetta Chicca
224
49
0
30 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Neural Information Processing Systems (NeurIPS), 2022
Axel Laborieux
Friedemann Zenke
319
48
0
01 Sep 2022
What deep reinforcement learning tells us about human motor learning and vice-versa
Michele Garibbo
Casimir J. H. Ludwig
Nathan Lepora
Laurence Aitchison
185
1
0
23 Aug 2022
1
2
3
Next
