Rethinking brain-wide interactions through multi-region 'network of networks' models
Highlights•Brains can be viewed as a composition of anatomically distinct modules called
regions.•Brain regions interact in complex ways to form a 'network of networks'.•Untangling …
regions.•Brain regions interact in complex ways to form a 'network of networks'.•Untangling …
Preserved neural dynamics across animals performing similar behaviour
Animals of the same species exhibit similar behaviours that are advantageously adapted to
their body and environment. These behaviours are shaped at the species level by selection …
their body and environment. These behaviours are shaped at the species level by selection …
Human motor decoding from neural signals: a review
Many people suffer from movement disability due to amputation or neurological diseases.
Fortunately, with modern neurotechnology now it is possible to intercept motor control …
Fortunately, with modern neurotechnology now it is possible to intercept motor control …
A neural population mechanism for rapid learning
Long-term learning of language, mathematics, and motor skills likely requires cortical
plasticity, but behavior often requires much faster changes, sometimes even after single …
plasticity, but behavior often requires much faster changes, sometimes even after single …
Dynamical flexible inference of nonlinear latent factors and structures in neural population activity
Modelling the spatiotemporal dynamics in the activity of neural populations while also
enabling their flexible inference is hindered by the complexity and noisiness of neural …
enabling their flexible inference is hindered by the complexity and noisiness of neural …
[HTML][HTML] Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time war**
Though the temporal precision of neural computation has been studied intensively, a data-
driven determination of this precision remains a fundamental challenge. Reproducible spike …
driven determination of this precision remains a fundamental challenge. Reproducible spike …
Universality, criticality and complexity of information propagation in social media
Statistical laws of information avalanches in social media appear, at least according to
existing empirical studies, not robust across systems. As a consequence, radically different …
existing empirical studies, not robust across systems. As a consequence, radically different …
Inferring brain-wide interactions using data-constrained recurrent neural network models
Behavior arises from the coordinated activity of numerous anatomically and functionally
distinct brain regions. Modern experimental tools allow unprecedented access to large …
distinct brain regions. Modern experimental tools allow unprecedented access to large …
Predictive learning as a network mechanism for extracting low-dimensional latent space representations
Artificial neural networks have recently achieved many successes in solving sequential
processing and planning tasks. Their success is often ascribed to the emergence of the …
processing and planning tasks. Their success is often ascribed to the emergence of the …
Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior
Neural dynamics can reflect intrinsic dynamics or dynamic inputs, such as sensory inputs or
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …
inputs from other brain regions. To avoid misinterpreting temporally structured inputs as …