The physics of brain network structure, function and control
CW Lynn, DS Bassett - Nature Reviews Physics, 2019 - nature.com
The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …
Inverse statistical problems: from the inverse Ising problem to data science
HC Nguyen, R Zecchina, J Berg - Advances in Physics, 2017 - Taylor & Francis
Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …
different fields, in particular high-throughput experiments in biology. In inverse problems, the …
Synchronization in Hindmarsh–Rose neurons subject to higher-order interactions
Higher-order interactions might play a significant role in the collective dynamics of the brain.
With this motivation, we here consider a simplicial complex of neurons, in particular …
With this motivation, we here consider a simplicial complex of neurons, in particular …
[图书][B] Information geometry and its applications
S Amari - 2016 - books.google.com
This is the first comprehensive book on information geometry, written by the founder of the
field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide …
field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide …
Searching for collective behavior in a large network of sensory neurons
Maximum entropy models are the least structured probability distributions that exactly
reproduce a chosen set of statistics measured in an interacting network. Here we use this …
reproduce a chosen set of statistics measured in an interacting network. Here we use this …
Stability of synchronization in simplicial complexes with multiple interaction layers
Understanding how the interplay between higher-order and multilayer structures of
interconnections influences the synchronization behaviors of dynamical systems is a …
interconnections influences the synchronization behaviors of dynamical systems is a …
Higher-order interactions characterized in cortical activity
In the cortex, the interactions among neurons give rise to transient coherent activity patterns
that underlie perception, cognition, and action. Recently, it was actively debated whether the …
that underlie perception, cognition, and action. Recently, it was actively debated whether the …
Neuronal synchronization in time-varying higher-order networks
ABSTRACT A potential issue of interest is figuring out how the combination of temporal and
higher-order interactions influences the collective dynamics of the brain, specifically …
higher-order interactions influences the collective dynamics of the brain, specifically …
Energy landscape analysis of neuroimaging data
Computational neuroscience models have been used for understanding neural dynamics in
the brain and how they may be altered when physiological or other conditions change. We …
the brain and how they may be altered when physiological or other conditions change. We …
Bistability and non-Gaussian fluctuations in spontaneous cortical activity
The brain is widely assumed to be a paradigmatic example of a complex, self-organizing
system. As such, it should exhibit the classic hallmarks of nonlinearity, multistability, and …
system. As such, it should exhibit the classic hallmarks of nonlinearity, multistability, and …