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Continual learning in computational systems is challenging due to catastrophic forgetting.
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Bruno Olshausen and David Field · 2004
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“Drosophila DPM neurons form a delayed and branch-specific memory trace after olfactory classical conditioning”
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“Expressivity of expand-and-sparsify representations”, 2020
Sanjoy Dasgupta and Christopher Tosh · 2006
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“Classifier Technology and the Illusion of Progress”
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T. Komiyama and L. Luo · 2006
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“Maintaining memories by reactivation”
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“Olfactory representations by Drosophila mushroom body neurons”
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“Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors”
Pentti Kanerva · 2009
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“Divisive normalization in olfactory population codes”
Shawn Olsen, Vikas Bhandawat and Rachel Wilson · 2010
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A. Roxin and S. Fusi · 2013
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“Sparse Coding for Multitask and Transfer Learning”
Andreas Maurer, Massimiliano Pontil and Bernardino Romera-Paredes · 2013
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“ELLA: An Efficient Lifelong Learning Algorithm”
Paul Ruvolo and Eric Eaton · 2013
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“Early olfactory processing in Drosophila: mechanisms and principles”
R.. Wilson · 2013
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“Random convergence of olfactory inputs in the Drosophila mushroom body”
Sophie Caron, Vanessa Ruta, LF Abbott and Richard Axel · 2013
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“Sparse, decorrelated odor coding in the mushroom body enhances learned odor discrimination”
A.. Lin et al · 2014
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“Sparseness and expansion in sensory representations”
Baktash Babadi and Haim Sompolinsky · 2014
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“Reciprocal synapses between mushroom body and dopamine neurons form a positive feedback loop required for learning”
I. Cervantes-Sandoval, A. Phan, M. Chakraborty and R.. Davis · 2017
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“A Simple Computational Model of the Bee Mushroom Body Can Explain Seemingly Complex Forms of Olfactory Learning and Memory”
F. Peng and L. Chittka · 2017
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“Re-evaluation of learned information in Drosophila”
Johannes Felsenberg et al · 2017
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“Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms”, 2017
Han Xiao, Kashif Rasul and Roland Vollgraf · 2017
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“A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster”
Z. Zheng et al · 2018
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“The neuronal architecture of the mushroom body provides a logic for associative learning”
Yoshinori Aso et al · 2014
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“Sparse and distributed coding of episodic memory in neurons of the human hippocampus”
John Wixted et al · 2014
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“Deep learning”
Y. LeCun, Y. Bengio and G. Hinton · 2015
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“What the fly’s nose tells the fly’s brain”
C.. Stevens · 2015
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“Heterosynaptic Plasticity Underlies Aversive Olfactory Learning in Drosophila”
T. Hige et al · 2015
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“A single pair of neurons links sleep to memory consolidation in Drosophila melanogaster”
P.. Haynes, B.. Christmann and L.. Griffith · 2015
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S. Dasgupta, T.. Sheehan, C.. Stevens and S. Navlakha · 2018
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“Integration of Parallel Opposing Memories Underlies Memory Extinction”
J. Felsenberg et al · 2018
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“Do the right thing: neural network mechanisms of memory formation, expression and update in Drosophila”
P. Cognigni, J. Felsenberg and S. Waddell · 2018
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“Invariant Recognition Shapes Neural Representations of Visual Input”
A. Tacchetti, L. Isik and T.. Poggio · 2018
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“Deep Learning for Classical Japanese Literature”, 2018
Tarin Clanuwat et al · 2018
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“Continual lifelong learning with neural networks: A review”
G.. Parisi et al · 2019
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“Re-evaluating Circuit Mechanisms Underlying Pattern Separation”
N.. Cayco-Gajic and R.. Silver · 2019
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“Random Projection in the Brain and Computation with Assemblies of Neurons”
Christos. Papadimitriou and Santosh. Vempala · 2019
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“Towards robust evaluations of continual learning”
Sebastian Farquhar and Yarin Gal · 2019
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“Synaptic properties of newly generated granule cells support sparse coding in the adult hippocampus”
Meredith Lodge and Josef Bischofberger · 2019
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“Brain-inspired replay for continual learning with artificial neural networks”
G.. van Ven, H.. Siegelmann and A.. Tolias · 2020
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“Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks”
Timothy Tadros, Giri. Krishnan, Ramyaa Ramyaa and Maxim Bazhenov · 2020
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“The connectome of the adult Drosophila mushroom body provides insights into function”
F. Li et al · 2020
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“A spiking neural program for sensorimotor control during foraging in flying insects”
H. Rapp and M.. Nawrot · 2020
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“Random Sketching, Clustering, and Short-Term Memory in Spiking Neural Networks”
Yael Hitron, Nancy Lynch, Cameron Musco and Merav Parter · 2020
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“The Drosophila Mushroom Body: From Architecture to Algorithm in a Learning Circuit”
M.. Modi, Y. Shuai and G.. Turner · 2020
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“Bio-Inspired Hashing for Unsupervised Similarity Search”
Chaitanya Ryali, John Hopfield, Leopold Grinberg and Dmitry Krotov · 2020
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“Multiple network properties overcome random connectivity to enable stereotypic sensory responses”
A.. Mittal et al · 2020
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“Transient and Persistent Representations of Odor Value in Prefrontal Cortex”
P.. Wang et al · 2020
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“Changing memories on the fly: the neural circuits of memory re-evaluation in Drosophila melanogaster”
Johannes Felsenberg · 2021
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