Dendritic cortical microcircuits approximate the backpropagation algorithm

26 October 2018

Papers citing "Dendritic cortical microcircuits approximate the backpropagation algorithm"

50 / 124 papers shown

Title
Beyond Attention: Toward Machines with Intrinsic Higher Mental States Ahsan Adeel OffRL LRM 34 0 0 02 May 2025
Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models Nava Haghighi Sunny Yu James Landay Daniela Rosner 36 0 0 03 Apr 2025
From Worms to Mice: Homeostasis Maybe All You Need Jesus Marco de Lucas 24 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 30 0 0 18 Sep 2024
An Overlooked Role of Context-Sensitive Dendrites Mohsin Raza Ahsan Adeel 40 1 0 20 Aug 2024
Deep Learning without Weight Symmetry Ji-An Li M. Benna 32 1 0 31 May 2024
EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks Lars Graf Zhe Su Giacomo Indiveri 40 0 0 22 May 2024
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations Jesus Garcia Fernandez Sander Keemink Marcel van Gerven AAML 47 4 0 14 May 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 35 3 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 133 8 0 25 Mar 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 35 1 0 13 Feb 2024
Nature-Inspired Local Propagation Alessandro Betti Marco Gori AI4CE 28 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 49 2 0 17 Nov 2023
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity Julian Rossbroich Friedemann Zenke 26 2 0 30 Oct 2023
How connectivity structure shapes rich and lazy learning in neural circuits Yuhan Helena Liu A. Baratin Jonathan H. Cornford Stefan Mihalas E. Shea-Brown Guillaume Lajoie 40 14 0 12 Oct 2023
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 44 1 0 29 Sep 2023
Confidence and second-order errors in cortical circuits Arno Granier Yixuan Zhang Walter Senn Dong Yu 31 1 0 27 Sep 2023
Meta predictive learning model of languages in neural circuits Chan Li Junbin Qiu Haiping Huang MILM 29 1 0 08 Sep 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 30 7 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 24 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 24 0 0 02 Aug 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 28 8 0 30 Jul 2023
A Sparse Quantized Hopfield Network for Online-Continual Memory Nick Alonso J. Krichmar 35 3 0 27 Jul 2023
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering T. M. Thai A. T. Vo Hao K. Tieu Linh Bui T. Nguyen 18 2 0 06 Jul 2023
Leveraging dendritic properties to advance machine learning and neuro-inspired computing Michalis Pagkalos R. Makarov Panayiota Poirazi AI4CE 35 11 0 13 Jun 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry Bariscan Bozkurt Cengiz Pehlevan A. Erdogan 37 1 0 07 Jun 2023
Computation with Sequences in a Model of the Brain M. Dabagia Christos H. Papadimitriou Santosh Vempala AIMat 23 1 0 06 Jun 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions Abdullah Makkeh Marcel Graetz Andreas C. Schneider David A. Ehrlich V. Priesemann Michael Wibral 44 1 0 03 Jun 2023
A method for the ethical analysis of brain-inspired AI M. Farisco Gianluca Baldassarre Emilio Cartoni A. Leach Mihai A. Petrovici A. Rosemann Arleen Salles B. Stahl Sacha Jennifer van Albada 37 2 0 18 May 2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation Umais Zahid Qinghai Guo Z. Fountas BDL 28 7 0 05 Apr 2023
Competitive plasticity to reduce the energetic costs of learning Mark C. W. van Rossum 18 2 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 38 4 0 20 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Y. Duan Zhongfan Jia Qian Li Yi Zhong Kaisheng Ma AAML 43 2 0 07 Feb 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons R. Høier D. Staudt Christopher Zach 36 11 0 02 Feb 2023
Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning Yinqian Sun Feifei Zhao Feifei Zhao Zhuoya Zhao 45 3 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 26 15 0 20 Dec 2022
Emergent Computations in Trained Artificial Neural Networks and Real Brains Néstor Parga Luis Serrano-Fernández Joan Falcó-Roget LRM 14 5 0 09 Dec 2022
Synaptic Dynamics Realize First-order Adaptive Learning and Weight Symmetry Yukun Yang Peng Li ODL 38 1 0 01 Dec 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 36 10 0 16 Nov 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets Ahsan Adeel A. Adetomi K. Ahmed Amir Hussain T. Arslan William A. Phillips 71 13 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 27 35 0 30 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux Friedemann Zenke 41 33 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 21 0 0 23 Aug 2022
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing Ahsan Adeel Mario Franco Mohsin Raza K. Ahmed 31 9 0 15 Jul 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 28 20 0 04 Jul 2022
Single-phase deep learning in cortico-cortical networks Will Greedy He Zhu Joe Pemberton J. Mellor Rui Ponte Costa 31 34 0 23 Jun 2022
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators Yuhan Helena Liu Stephen Smith Stefan Mihalas E. Shea-Brown Uygar Sumbul 11 8 0 02 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 34 9 0 02 Jun 2022
A Computational Framework of Cortical Microcircuits Approximates Sign-concordant Random Backpropagation Yukun Yang Peng Li 30 1 0 15 May 2022