Mirrored STDP Implements Autoencoder Learning in a Network of Spiking Neurons

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Hebbian and Anti-Hebbian Spike-Timing-Dependent Plasticity of Human Cortico-Cortical Connections

(2013) G. Koch et al.   JOURNAL OF NEUROSCIENCE

The Spike-Timing Dependence of Plasticity

(2012) Daniel E. Feldman   NEURON

Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location

(2012) M. Graupner et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections

(2012) Kendra S. Burbank et al.   PLoS Computational Biology

Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex

(2011) Sonja B Hofer et al.   NATURE NEUROSCIENCE

A Sparse Coding Model with Synaptically Local Plasticity and Spiking Neurons Can Account for the Diverse Shapes of V1 Simple Cell Receptive Fields

(2011) Joel Zylberberg et al.   PLoS Computational Biology

Decorrelated Neuronal Firing in Cortical Microcircuits

(2010) A. S. Ecker et al.   SCIENCE

Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

(2008) Natalia Caporale et al.   Annual Review of Neuroscience

Phenomenological models of synaptic plasticity based on spike timing

(2008) Abigail Morrison et al.   BIOLOGICAL CYBERNETICS

Justifying and Generalizing Contrastive Divergence

(2008) Yoshua Bengio et al.   NEURAL COMPUTATION

An analysis of the use of Hebbian and Anti-Hebbian spike time dependent plasticity learning functions within the context of recurrent spiking neural networks

(2008) Andrew Carnell   NEUROCOMPUTING