[HTML][HTML] Computational methods to study information processing in neural circuits
The brain is an information processing machine and thus naturally lends itself to be studied
using computational tools based on the principles of information theory. For this reason …
using computational tools based on the principles of information theory. For this reason …
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 …
An information-theoretic quantification of the content of communication between brain regions
Quantifying the amount, content and direction of communication between brain regions is
key to understanding brain function. Traditional methods to analyze brain activity based on …
key to understanding brain function. Traditional methods to analyze brain activity based on …
Partial information decomposition for continuous variables based on shared exclusions: Analytical formulation and estimation
Describing statistical dependencies is foundational to empirical scientific research. For
uncovering intricate and possibly nonlinear dependencies between a single target variable …
uncovering intricate and possibly nonlinear dependencies between a single target variable …
Multimodal learning without labeled multimodal data: Guarantees and applications
In many machine learning systems that jointly learn from multiple modalities, a core research
question is to understand the nature of multimodal interactions: the emergence of new task …
question is to understand the nature of multimodal interactions: the emergence of new task …
Estimating the unique information of continuous variables
The integration and transfer of information from multiple sources to multiple targets is a core
motive of neural systems. The emerging field of partial information decomposition (PID) …
motive of neural systems. The emerging field of partial information decomposition (PID) …
Biologically plausible solutions for spiking networks with efficient coding
Understanding how the dynamics of neural networks is shaped by the computations they
perform is a fundamental question in neuroscience. Recently, the framework of efficient …
perform is a fundamental question in neuroscience. Recently, the framework of efficient …
Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action
Although it is well established that fronto-parietal regions are active during action
observation, whether they play a causal role in the ability to infer others' intentions from …
observation, whether they play a causal role in the ability to infer others' intentions from …
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex
Measures of functional connectivity have played a central role in advancing our
understanding of how information is transmitted and processed within the brain …
understanding of how information is transmitted and processed within the brain …