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1810.11393
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Dendritic cortical microcircuits approximate the backpropagation algorithm
26 October 2018
João Sacramento
Rui Ponte Costa
Yoshua Bengio
Walter Senn
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Papers citing
"Dendritic cortical microcircuits approximate the backpropagation algorithm"
31 / 131 papers shown
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2020
M. R. Azghadi
Corey Lammie
Nhan Duy Truong
Melika Payvand
Elisa Donati
B. Linares-Barranco
Giacomo Indiveri
210
169
0
11 Jul 2020
Biological credit assignment through dynamic inversion of feedforward networks
Neural Information Processing Systems (NeurIPS), 2020
William F. Podlaski
C. Machens
194
21
0
10 Jul 2020
Deep Reinforcement Learning and its Neuroscientific Implications
Neuron (Neuron), 2020
M. Botvinick
Jane X. Wang
Will Dabney
Kevin J. Miller
Z. Kurth-Nelson
OffRL
AI4CE
152
203
0
07 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks
Elias Najarro
S. Risi
371
85
0
06 Jul 2020
A Theoretical Framework for Target Propagation
Alexander Meulemans
Francesco S. Carzaniga
Johan A. K. Suykens
João Sacramento
Benjamin Grewe
AAML
308
92
0
25 Jun 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Neural Information Processing Systems (NeurIPS), 2020
Roman Pogodin
P. Latham
384
41
0
12 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
730
141
0
07 Jun 2020
Artificial neural networks for neuroscientists: A primer
Neuron (Neuron), 2020
G. R. Yang
Xiao-Jing Wang
442
299
0
01 Jun 2020
Going in circles is the way forward: the role of recurrence in visual inference
Current Opinion in Neurobiology (Curr Opin Neurobiol), 2020
R. S. V. Bergen
N. Kriegeskorte
313
91
0
26 Mar 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Sociological Methods & Research (SMR), 2020
Alina Arseniev-Koehler
J. Foster
280
54
0
24 Mar 2020
Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference
Neurons, Behavior, Data analysis, and Theory (NBDT), 2020
Nasir Ahmad
Luca Ambrogioni
Marcel van Gerven
202
2
0
09 Mar 2020
Two Routes to Scalable Credit Assignment without Weight Symmetry
International Conference on Machine Learning (ICML), 2020
D. Kunin
Aran Nayebi
Javier Sagastuy-Breña
Surya Ganguli
Jonathan M. Bloom
Daniel L. K. Yamins
274
35
0
28 Feb 2020
Contrastive Similarity Matching for Supervised Learning
Shanshan Qin
N. Mudur
Cengiz Pehlevan
SSL
DRL
338
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
282
2
0
10 Feb 2020
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Journal of Cognitive Neuroscience (J Cogn Neurosci), 2020
Grace W. Lindsay
MedIm
297
482
0
20 Jan 2020
Fast and energy-efficient neuromorphic deep learning with first-spike times
Nature Machine Intelligence (NMI), 2019
Julian Goltz
Laura Kriener
A. Baumbach
Sebastian Billaudelle
O. Breitwieser
...
Á. F. Kungl
Walter Senn
Johannes Schemmel
K. Meier
Mihai A. Petrovici
580
144
0
24 Dec 2019
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
Paul Bertens
Seong-Whan Lee
62
5
0
16 Dec 2019
Neocortical plasticity: an unsupervised cake but no free lunch
Eilif B. Muller
Philippe Beaudoin
48
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
129
7
0
15 Nov 2019
Making Predictive Coding Networks Generative
Jeff Orchard
Wei Sun
166
1
0
26 Oct 2019
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Neural Information Processing Systems (NeurIPS), 2019
D. Obeid
Hugo Ramambason
Cengiz Pehlevan
FedML
208
22
0
11 Oct 2019
Spike-based causal inference for weight alignment
International Conference on Learning Representations (ICLR), 2019
Jordan Guerguiev
Konrad Paul Kording
Blake A. Richards
CML
200
24
0
03 Oct 2019
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
Journal of machine learning research (JMLR), 2019
O. Marschall
Dong Wang
Cristina Savin
FedML
163
77
0
05 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory
Neural Information Processing Systems (NeurIPS), 2019
Liu Ziyin
Zhikang T. Wang
Paul Pu Liang
Ruslan Salakhutdinov
Louis-Philippe Morency
Masahito Ueda
296
124
0
29 Jun 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes
International Conference on Learning Representations (ICLR), 2019
Johannes C. Thiele
O. Bichler
A. Dupret
155
34
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
55
5
0
28 May 2019
Training Neural Networks with Local Error Signals
Arild Nøkland
L. Eidnes
210
252
0
20 Jan 2019
Deep learning with asymmetric connections and Hebbian updates
Frontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2018
Y. Amit
192
47
0
19 Nov 2018
A Biologically Plausible Learning Rule for Deep Learning in the Brain
Isabella Pozzi
Michael Felsberg
Fahad Shahbaz Khan
AI4CE
139
33
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
340
57
0
24 Jun 2018
A Neurobiological Evaluation Metric for Neural Network Model Search
Nathaniel Blanchard
Jeffery Kinnison
Brandon RichardWebster
P. Bashivan
Walter J. Scheirer
279
12
0
28 May 2018
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