Dendritic cortical microcircuits approximate the backpropagation algorithm

26 October 2018

Papers citing "Dendritic cortical microcircuits approximate the backpropagation algorithm"

24 / 124 papers shown

Title
Artificial neural networks for neuroscientists: A primer G. R. Yang Xiao-Jing Wang 34 243 0 01 Jun 2020
Going in circles is the way forward: the role of recurrence in visual inference R. S. V. Bergen N. Kriegeskorte 17 82 0 26 Mar 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 43 46 0 24 Mar 2020
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference Nasir Ahmad L. Ambrogioni Marcel van Gerven 23 2 0 09 Mar 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry D. Kunin Aran Nayebi Javier Sagastuy-Breña Surya Ganguli Jonathan M. Bloom Daniel L. K. Yamins 34 32 0 28 Feb 2020
Contrastive Similarity Matching for Supervised Learning Shanshan Qin N. Mudur Cengiz Pehlevan SSL DRL 22 1 0 24 Feb 2020
Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment Alexander Ororbia A. Mali Daniel Kifer C. Lee Giles 23 2 0 10 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future Grace W. Lindsay MedIm 35 424 0 20 Jan 2020
Fast and energy-efficient neuromorphic deep learning with first-spike times Julian Goltz Laura Kriener A. Baumbach Sebastian Billaudelle O. Breitwieser ... Á. F. Kungl Walter Senn Johannes Schemmel K. Meier Mihai A. Petrovici 35 126 0 24 Dec 2019
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level Paul Bertens Seong-Whan Lee 26 5 0 16 Dec 2019
Neocortical plasticity: an unsupervised cake but no free lunch Eilif B. Muller Philippe Beaudoin 19 0 0 15 Nov 2019
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks Thomas Mesnard Gaetan Vignoud João Sacramento Walter Senn Yoshua Bengio 27 7 0 15 Nov 2019
Making Predictive Coding Networks Generative Jeff Orchard Wei Sun 14 1 0 26 Oct 2019
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks D. Obeid Hugo Ramambason Cengiz Pehlevan FedML 14 20 0 11 Oct 2019
Spike-based causal inference for weight alignment Jordan Guerguiev Konrad Paul Kording Blake A. Richards CML 25 23 0 03 Oct 2019
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks O. Marschall Kyunghyun Cho Cristina Savin FedML 36 72 0 05 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 26 111 0 29 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 17 32 0 03 Jun 2019
Inference with Hybrid Bio-hardware Neural Networks Yuan Zeng Zubayer Ibne Ferdous Weixian Zhang Mufan Xu Anlan Yu Drew Patel Xiaochen Guo Y. Berdichevsky Zhiyuan Yan 8 4 0 28 May 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
Deep learning with asymmetric connections and Hebbian updates Y. Amit 21 44 0 19 Nov 2018
A Biologically Plausible Learning Rule for Deep Learning in the Brain Isabella Pozzi M. Felsberg Fahad Shahbaz Khan AI4CE 12 31 0 05 Nov 2018
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables A. Choromańska Benjamin Cowen Yara Rizk Ronny Luss Mattia Rigotti ... Brian Kingsbury Paolo Diachille V. Gurev Ravi Tejwani Djallel Bouneffouf 24 52 0 24 Jun 2018
A Neurobiological Evaluation Metric for Neural Network Model Search Nathaniel Blanchard Jeffery Kinnison Brandon RichardWebster P. Bashivan Walter J. Scheirer 34 12 0 28 May 2018