49 citations · 132 across the 19 of their papers we have counts for
6 papers · 1 filter
Scaling active inference
Alexander Tschantz, Manuel Baltieri, Anil. K. Seth +1
In reinforcement learning (RL), agents often operate in partially observed and uncertain environments. Model-based RL suggests that this is best achieved by learning and exploiting…
Codes, communication and cognition
Stevan Harnad
Brette (2019) criticizes the notion of neural coding because it seems to entail that neural signals need to be decoded by or for some receiver in the head. If that were so, then ne…
Quantifying the role of neurons for behavior is a mediation question
Ilenna Simone Jones, Konrad Paul Kording
Many systems neuroscientists want to understand neurons in terms of mediation; we want to understand how neurons are involved in the causal chain from stimulus to behavior. Unfortu…
Generative models as parsimonious descriptions of sensorimotor loops
Manuel Baltieri, Christopher L. Buckley
The Bayesian brain hypothesis, predictive processing and variational free energy minimisation are typically used to describe perceptual processes based on accurate generative model…
Codes, Functions, and Causes: A Critique of Brette's Conceptual Analysis of Coding
David Barack, Andrew Jaegle
In a recent article, Brette argues that coding as a concept is inappropriate for explanations of neurocognitive phenomena. Here, we argue that Brette's conceptual analysis mischara…
Nonmodular architectures of cognitive systems based on active inference
Manuel Baltieri, Christopher L. Buckley
In psychology and neuroscience it is common to describe cognitive systems as input/output devices where perceptual and motor functions are implemented in a purely feedforward, open…