Information decomposition and the informational architecture of the brain
To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …
understand information itself. Importantly, information is not a monolithic entity. Information …
[HTML][HTML] The strength of weak integrated information theory
The integrated information theory of consciousness (IIT) is divisive: while some believe it
provides an unprecedentedly powerful approach to address the 'hard problem', others …
provides an unprecedentedly powerful approach to address the 'hard problem', others …
Quantifying & modeling multimodal interactions: An information decomposition framework
The recent explosion of interest in multimodal applications has resulted in a wide selection
of datasets and methods for representing and integrating information from different …
of datasets and methods for representing and integrating information from different …
Control of criticality and computation in spiking neuromorphic networks with plasticity
The critical state is assumed to be optimal for any computation in recurrent neural networks,
because criticality maximizes a number of abstract computational properties. We challenge …
because criticality maximizes a number of abstract computational properties. We challenge …
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for
efficient inference of networks and their node dynamics from multivariate time series data …
efficient inference of networks and their node dynamics from multivariate time series data …
Sequential transmission of task-relevant information in cortical neuronal networks
Cortical processing of task-relevant information enables recognition of behaviorally
meaningful sensory events. It is unclear how task-related information is represented within …
meaningful sensory events. It is unclear how task-related information is represented within …
Gaussian partial information decomposition: Bias correction and application to high-dimensional data
P Venkatesh, C Bennett, S Gale… - Advances in …, 2024 - proceedings.neurips.cc
Recent advances in neuroscientific experimental techniques have enabled us to
simultaneously record the activity of thousands of neurons across multiple brain regions …
simultaneously record the activity of thousands of neurons across multiple brain regions …
Information flow between motor cortex and striatum reverses during skill learning
The coordination of neural activity across brain areas during a specific behavior is often
interpreted as neural communication involved in controlling the behavior. However, whether …
interpreted as neural communication involved in controlling the behavior. However, whether …
A rigorous information-theoretic definition of redundancy and relevancy in feature selection based on (partial) information decomposition
Selecting a minimal feature set that is maximally informative about a target variable is a
central task in machine learning and statistics. Information theory provides a powerful …
central task in machine learning and statistics. Information theory provides a powerful …
An information-theoretic approach to self-organisation: Emergence of complex interdependencies in coupled dynamical systems
Self-organisation lies at the core of fundamental but still unresolved scientific questions, and
holds the promise of de-centralised paradigms crucial for future technological …
holds the promise of de-centralised paradigms crucial for future technological …