Active Inference, Predictive Coding and Cortical Architecture

By Rick A Adams, Karl J. Friston, André Moraes Bastos. 2015

19 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neuroscience, Cognitive Science & Psychology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. German Ignacio Parisi
2. Christopher Kanan
3. Stefan Wermter
4. Ronald Kemker
5. Ali Ayub
6. Alan R. Wagner
7. Tyler L. Hayes
8. Vincenzo Lomonaco

In Neuroscience

1. Christopher Kanan
2. German Ignacio Parisi
3. Stefan Wermter
4. Ronald Kemker
5. Ali Ayub
6. Alan R. Wagner
7. Tyler L. Hayes
8. Vincenzo Lomonaco

In Cognitive Science & Psychology

1. Stefan Wermter
2. German Ignacio Parisi
3. Christopher Kanan

Citations in the corpus

• Continual Lifelong Learning with Neural Networks: A Review (2018, background): “lar, it is difficult to select a well-defined set of developmental stages that favours the overall learning performance in highly dynamic environments. For instance, in the predictive coding framework (Adams et al. 2015,Rao & Ballard1999), the intention towards a goal can be generated through the ”