A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity

Whatever next? Predictive brains, situated agents, and the future of cognitive science

(2013)   BEHAVIORAL AND BRAIN SCIENCES

Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks

(2012) Sebastian Bitzer et al.   BIOLOGICAL CYBERNETICS

An Improved Test for Detecting Multiplicative Homeostatic Synaptic Scaling

(2012) Jimok Kim et al.   PLoS One

Multiscale analysis of slow-fast neuronal learning models with noise

(2012) Mathieu Galtier et al.   Journal of Mathematical Neuroscience

Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment

(2011) P. Berkes et al.   SCIENCE

The free-energy principle: a unified brain theory?

(2010) Karl Friston   NATURE REVIEWS NEUROSCIENCE

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON

Predictions: a universal principle in the operation of the human brain

(2009) M. Bar   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Inverse Problems in Neural Field Theory

(2009) Roland Potthast et al.   SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS

Towards a Mathematical Theory of Cortical Micro-circuits

(2009) Dileep George et al.   PLoS Computational Biology

Episodic Simulation of Future Events

(2008) Daniel L. Schacter et al.   Annals of the New York Academy of Sciences

Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

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

A Hierarchy of Time-Scales and the Brain

(2008) Stefan J. Kiebel et al.   PLoS Computational Biology

Bayesian Spiking Neurons I: Inference

(2007) Sophie Deneve   NEURAL COMPUTATION