A Spiking Neuron as Information Bottleneck

State-dependent computations: spatiotemporal processing in cortical networks

(2009) Dean V. Buonomano et al.   NATURE REVIEWS NEUROSCIENCE

On the Maximization of Information Flow Between Spiking Neurons

(2009) Lucas C. Parra et al.   NEURAL COMPUTATION

Python for information theoretic analysis of neural data

(2009) Robin A. A. Ince   Frontiers in Neuroinformatics

Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

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

Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components

(2008) Stefan Klampfl et al.   NEURAL COMPUTATION

Dendritic Excitability and Synaptic Plasticity

(2008) P. Jesper Sjöström et al.   PHYSIOLOGICAL REVIEWS

Predictive Coding and the Slowness Principle: An Information-Theoretic Approach

(2007) Felix Creutzig et al.   NEURAL COMPUTATION