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04/05/2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Backpropagation has rapidly become the workhorse credit assignment algor...
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03/09/2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Predictive coding (PC) accounts of perception now form one of the domina...
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12/29/2022
Long-horizon video prediction using a dynamic latent hierarchy
The task of video prediction and generation is known to be notoriously d...
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07/25/2022
Modelling non-reinforced preferences using selective attention
How can artificial agents learn non-reinforced preferences to continuous...
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01/14/2022
Bayesian sense of time in biological and artificial brains
Enquiries concerning the underlying mechanisms and the emergent properti...
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10/21/2021
Variational Predictive Routing with Nested Subjective Timescales
Discovery and learning of an underlying spatiotemporal hierarchy in sequ...
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06/08/2021
Exploration and preference satisfaction trade-off in reward-free learning
Biological agents have meaningful interactions with their environment de...
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10/03/2020
Episodic Memory for Learning Subjective-Timescale Models
In model-based learning, an agent's model is commonly defined over trans...
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06/07/2020
Deep active inference agents using Monte-Carlo methods
Active inference is a Bayesian framework for understanding biological in...
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02/09/2020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning
Simulation of population dynamics is a central research theme in computa...
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01/26/2020