Inductive biases for deep learning of higher-level cognition

A Goyal, Y Bengio - Proceedings of the Royal Society A, 2022 - royalsocietypublishing.org
A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …

[HTML][HTML] Conscious processing and the global neuronal workspace hypothesis

GA Mashour, P Roelfsema, JP Changeux, S Dehaene - Neuron, 2020 - cell.com
We review the central tenets and neuroanatomical basis of the global neuronal workspace
(GNW) hypothesis, which attempts to account for the main scientific observations regarding …

Towards continual reinforcement learning: A review and perspectives

K Khetarpal, M Riemer, I Rish, D Precup - Journal of Artificial Intelligence …, 2022 - jair.org
In this article, we aim to provide a literature review of different formulations and approaches
to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We …

Direct fit to nature: an evolutionary perspective on biological and artificial neural networks

U Hasson, SA Nastase, A Goldstein - Neuron, 2020 - cell.com
Evolution is a blind fitting process by which organisms become adapted to their
environment. Does the brain use similar brute-force fitting processes to learn how to …

Thinking through other minds: A variational approach to cognition and culture

SPL Veissière, A Constant, MJD Ramstead… - Behavioral and brain …, 2020 - cambridge.org
The processes underwriting the acquisition of culture remain unclear. How are shared
habits, norms, and expectations learned and maintained with precision and reliability across …

[HTML][HTML] Keep it real: rethinking the primacy of experimental control in cognitive neuroscience

SA Nastase, A Goldstein, U Hasson - NeuroImage, 2020 - Elsevier
Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …

[HTML][HTML] Active inference and learning

K Friston, T FitzGerald, F Rigoli… - Neuroscience & …, 2016 - Elsevier
This paper offers an active inference account of choice behaviour and learning. It focuses on
the distinction between goal-directed and habitual behaviour and how they contextualise …

Hierarchical active inference: a theory of motivated control

G Pezzulo, F Rigoli, KJ Friston - Trends in cognitive sciences, 2018 - cell.com
Motivated control refers to the coordination of behaviour to achieve affectively valenced
outcomes or goals. The study of motivated control traditionally assumes a distinction …

Resynthesizing behavior through phylogenetic refinement

P Cisek - Attention, Perception, & Psychophysics, 2019 - Springer
This article proposes that biologically plausible theories of behavior can be constructed by
following a method of “phylogenetic refinement,” whereby they are progressively elaborated …

The thalamus integrates the macrosystems of the brain to facilitate complex, adaptive brain network dynamics

JM Shine - Progress in neurobiology, 2021 - Elsevier
The human brain is a complex, adaptive system comprised of billions of cells with trillions of
connections. The interactions between the elements of the system oppose this seemingly …