Related references
Note: Only part of the references are listed.Spike-timing-dependent plasticity of polyaniline-based memristive element
D. A. Lapkin et al.
MICROELECTRONIC ENGINEERING (2018)
STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh et al.
NEURAL NETWORKS (2018)
Fully memristive neural networks for pattern classification with unsupervised learning
Zhongrui Wang et al.
NATURE ELECTRONICS (2018)
Supervised learning in spiking neural networks with FORCE training
Wilten Nicola et al.
NATURE COMMUNICATIONS (2017)
Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task
Pavel Sanda et al.
PLOS COMPUTATIONAL BIOLOGY (2017)
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G. Pedretti et al.
SCIENTIFIC REPORTS (2017)
On the effect of stabilizing mean firing rate of a neuron due to STDP
Alexander Sboev et al.
6TH INTERNATIONAL YOUNG SCIENTIST CONFERENCE ON COMPUTATIONAL SCIENCE, YSC 2017 (2017)
Visualization of maximizing images with deconvolutional optimization method for neurons in deep neural networks
Dmitry Nekhaev et al.
6TH INTERNATIONAL YOUNG SCIENTIST CONFERENCE ON COMPUTATIONAL SCIENCE, YSC 2017 (2017)
Neostriatal GABAergic Interneurons Mediate Cholinergic Inhibition of Spiny Projection Neurons
Thomas W. Faust et al.
JOURNAL OF NEUROSCIENCE (2016)
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
Alexander Serb et al.
NATURE COMMUNICATIONS (2016)
First steps towards the realization of a double layer perceptron based on organic memristive devices
A. V. Emelyanov et al.
AIP ADVANCES (2016)
Training Deep Spiking Neural Networks Using Backpropagation
Jun Haeng Lee et al.
FRONTIERS IN NEUROSCIENCE (2016)
Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning
Erika Covi et al.
FRONTIERS IN NEUROSCIENCE (2016)
Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors
M. Prezioso et al.
SCIENTIFIC REPORTS (2016)
Programmed Cell Death in Neurodevelopment
Yoshifumi Yamaguchi et al.
DEVELOPMENTAL CELL (2015)
Training andoperation of an integrated neuromorphic network based on metal-oxide memristors
M. Prezioso et al.
NATURE (2015)
Hardware elementary perceptron based on polyaniline memristive devices
V. A. Demin et al.
ORGANIC ELECTRONICS (2015)
Unsupervised learning of digit recognition using spike-timing-dependent plasticity
Peter U. Diehl et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2015)
Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network
Bo Zhao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)
Programmed cell death during neuronal development: the sympathetic neuron model
M. Kristiansen et al.
CELL DEATH AND DIFFERENTIATION (2014)
A million spiking-neuron integrated circuit with a scalable communication network and interface
Paul A. Merolla et al.
SCIENCE (2014)
Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices
Damien Querlioz et al.
IEEE TRANSACTIONS ON NANOTECHNOLOGY (2013)
Real-time classification and sensor fusion with a spiking deep belief network
Peter O'Connor et al.
FRONTIERS IN NEUROSCIENCE (2013)
Evolving spiking neural network-a survey
Stefan Schliebs et al.
EVOLVING SYSTEMS (2013)
Programmed Cell Death in Animal Development and Disease
Yaron Fuchs et al.
CELL (2011)
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Zdravko Petanjek et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2011)
Neuromorphic silicon neuron circuits
Giacomo Indiveri et al.
FRONTIERS IN NEUROSCIENCE (2011)
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Claudia Clopath et al.
NATURE NEUROSCIENCE (2010)
Guidance Molecules in Axon Pruning and Cell Death
Pierre Vanderhaeghen et al.
COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY (2010)
Generating Coherent Patterns of Activity from Chaotic Neural Networks
David Sussillo et al.
NEURON (2009)
SORN: a self-organizing recurrent neural network
Andreea Lazar et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2009)
Spatio-temporal electrical stimuli shape behavior of an embodied cortical network in a goal-directed learning task
Douglas J. Bakkum et al.
JOURNAL OF NEURAL ENGINEERING (2008)
A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
Robert Legenstein et al.
PLOS COMPUTATIONAL BIOLOGY (2008)
Brian: a simulator for spiking neural networks in Python
Dan Goodman
Frontiers in Neuroinformatics (2008)
Excess of neurons in the human newborn mediodorsal thalamus compared with that of the adult
Maja Abitz et al.
CEREBRAL CORTEX (2007)
A review of the integrate-and-fire neuron model: I. Homogeneous synaptic input
A. N. Burkitt
BIOLOGICAL CYBERNETICS (2006)
Dynamics of pruning in simulated large-scale spiking neural networks
J Iglesias et al.
BIOSYSTEMS (2005)
Sparse coding of sensory inputs
BA Olshausen et al.
CURRENT OPINION IN NEUROBIOLOGY (2004)
Relating STDP to BCM
EM Izhikevich et al.
NEURAL COMPUTATION (2003)
The other side of the engram: Experience-driven changes in neuronal intrinsic excitability
W Zhang et al.
NATURE REVIEWS NEUROSCIENCE (2003)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)
Learning in networks of cortical neurons
G Shahaf et al.
JOURNAL OF NEUROSCIENCE (2001)
Share Paper
