The feasibility of artificial consciousness through the lens of neuroscience

no code implementations • 1 Jun 2023 • Jaan Aru, Matthew Larkum, James M. Shine

For one, the architecture of large language models is missing key features of the thalamocortical system that have been linked to conscious awareness in mammals.

Noradrenergic neuromodulation of nonlinear bursting neurons controls critical dynamics

no code implementations • 15 Jun 2021 • Brandon R. Munn, Eli J. Müller, James M. Shine

Here we confirm that neuronal spiking in mice is poised close to the critical point of a branching process and that time-varying signatures of criticality fluctuate with neuromodulatory tone, as assessed by dynamic alterations in pupil diameter.

Assessing the Significance of Directed and Multivariate Measures of Linear Dependence Between Time Series

1 code implementation • 9 Mar 2020 • Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier

Inferring linear dependence between time series is central to our understanding of natural and artificial systems.

Methodology Information Theory Information Theory Statistics Theory Data Analysis, Statistics and Probability Neurons and Cognition Applications Statistics Theory

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Function

1 code implementation • 10 Nov 2015 • James M. Shine, Patrick G. Bissett, Peter T. Bell, Oluwasanmi Koyejo, Joshua H. Balsters, Krzysztof J. Gorgolewski, Craig A. Moodie, Russell A. Poldrack

Higher brain function relies upon the ability to flexibly integrate information across specialized communities of brain regions, however it is unclear how this mechanism manifests over time.

Neurons and Cognition