Extreme neural machines

Author:

Boucher-Routhier MeganORCID,Zhang Bill Ling Feng,Thivierge Jean-PhilippeORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference52 articles.

1. The sparseness of mixed selectivity neurons controls the generalization-discrimination trade-off;Barak;Journal of Neuroscience,2013

2. A solution to the learning dilemma for recurrent networks of spiking neurons;Bellec;Nature Communications,2020

3. Neuronal pattern separation of motion-relevant input in LIP activity;Berberian;Journal of Neurophysiology,2017

4. Cortex: Statistics and geometry of neuronal connectivity;Braitenberg,1998

5. Does computational neuroscience need new synaptic learning paradigms?;Brea;Current Opinion in Behavioral Sciences,2016

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1. Robust noise-aware algorithm for randomized neural network and its convergence properties;Neural Networks;2024-05

2. Toward a Brain-Inspired Theory of Artificial Learning;Cognitive Computation;2023-01-31

3. Incremental Neural Synthesis for Spiking Neural Networks;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

4. Key role of neuronal diversity in structured reservoir computing;Chaos: An Interdisciplinary Journal of Nonlinear Science;2022-11

5. Learning to Stabilize Extreme Neural Machines with Metaplasticity;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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