Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity

Spike-timing-dependent plasticity of polyaniline-based memristive element

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STDP-based spiking deep convolutional neural networks for object recognition

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Supervised learning in spiking neural networks with FORCE training

(2017) Wilten Nicola et al.   Nature Communications

Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task

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Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

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Neostriatal GABAergic Interneurons Mediate Cholinergic Inhibition of Spiny Projection Neurons

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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

(2016) Alexander Serb et al.   Nature Communications

First steps towards the realization of a double layer perceptron based on organic memristive devices

(2016) A. V. Emelyanov et al.   AIP Advances

Training Deep Spiking Neural Networks Using Backpropagation

(2016) Jun Haeng Lee et al.   Frontiers in Neuroscience

Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning

(2016) Erika Covi et al.   Frontiers in Neuroscience

Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors

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Programmed Cell Death in Neurodevelopment

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Training and operation of an integrated neuromorphic network based on metal-oxide memristors

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Hardware elementary perceptron based on polyaniline memristive devices

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Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

(2015) Bo Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Programmed cell death during neuronal development: the sympathetic neuron model

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A million spiking-neuron integrated circuit with a scalable communication network and interface

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Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices

(2013) Damien Querlioz et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Real-time classification and sensor fusion with a spiking deep belief network

(2013) Peter O'Connor et al.   Frontiers in Neuroscience

Programmed Cell Death in Animal Development and Disease

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Extraordinary neoteny of synaptic spines in the human prefrontal cortex

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Connectivity reflects coding: a model of voltage-based STDP with homeostasis

(2010) Claudia Clopath et al.   NATURE NEUROSCIENCE

Guidance Molecules in Axon Pruning and Cell Death

(2010) P. Vanderhaeghen et al.   Cold Spring Harbor Perspectives in Biology

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON

SORN: a Self-organizing Recurrent Neural Network

(2009) Andreea Lazar   Frontiers in Computational Neuroscience

Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task

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A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

(2008) Robert Legenstein et al.   PLoS Computational Biology

Brian: a simulator for spiking neural networks in Python

(2008) Dan Goodman   Frontiers in Neuroinformatics