Learning structure of sensory inputs with synaptic plasticity leads to interference.

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Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition

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Learning structure of sensory inputs with synaptic plasticity leads to interference.

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Learning structure of sensory inputs with synaptic plasticity leads to interference.

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Learning structure of sensory inputs with synaptic plasticity leads to interference.

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Learning structure of sensory inputs with synaptic plasticity leads to interference.

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P1476

Learning structure of sensory inputs with synaptic plasticity leads to interference.

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P2093

Joseph Chrol-Cannon

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Real-time computing without stable states: a new framework for neural computation based on perturbations

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Catastrophic forgetting in connectionist networks.

Function determines structure in complex neural networks.

Synaptic plasticity and connectivity requirements to produce stimulus-pair specific responses in recurrent networks of spiking neurons.

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.

The perceptron: a probabilistic model for information storage and organization in the brain.

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103

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scholarly article

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10.3389/FNCOM.2015.00103

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P478

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Yaochu Jin

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2015-08-05T00:00:00Z

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281226854

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26300769

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4525052

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Learning structure of sensory inputs with synaptic plasticity leads to interference.

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P2860

P2860

Learning structure of sensory inputs with synaptic plasticity leads to interference.

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