Artificial intelligence
1994 Special Issue: A model of hippocampal function
Neural Networks - Special issue: models of neurodynamics and behavior
Adaptive resonance theory (ART)
The handbook of brain theory and neural networks
The handbook of brain theory and neural networks
A cerebellar model of timing and prediction in the control of reaching
Neural Computation
What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
Neural Networks - Special issue on organisation of computation in brain-like systems
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus and Learning
Gateway to Memory: An Introduction to Neural Network Models of the Hippocampus and Learning
Actor-critic models of the basal ganglia: new anatomical and computational perspectives
Neural Networks - Computational models of neuromodulation
On Intelligence
The predictive basis of situated and embodied artificial intelligence
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Derivation and Analysis of Basic Computational Operations of Thalamocortical Circuits
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
Engines of the brain: the computational instruction set of human cognition
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Neural Pathways of Embodied Simulation
Anticipatory Behavior in Adaptive Learning Systems
A Neurocomputational Model of Anticipation and Sustained Inattentional Blindness in Hierarchies
Anticipatory Behavior in Adaptive Learning Systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hi-index | 0.00 |
Many neuroscientists view prediction as one of the core brain functions. However, there is little consensus as to the exact nature of predictive information and processes, or the neural mechanisms that realise them. This paper reviews a host of neural models believed to underlie the learning and deployment of predictive knowledge in a variety of brain regions: neocortex, hippocampus, thalamus, basal ganglia and cerebellum. These are compared and contrasted in order to codify a few basic aspects of neural circuitry and dynamics that appear to be the heart of prediction.