Rethinking brain-wide interactions through multi-region 'network of networks' models

MG Perich, K Rajan - Current opinion in neurobiology, 2020 - Elsevier
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 …

Preserved neural dynamics across animals performing similar behaviour

M Safaie, JC Chang, J Park, LE Miller, JT Dudman… - Nature, 2023 - nature.com
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 …

Human motor decoding from neural signals: a review

W Tam, T Wu, Q Zhao, E Keefer, Z Yang - BMC Biomedical Engineering, 2019 - Springer
Many people suffer from movement disability due to amputation or neurological diseases.
Fortunately, with modern neurotechnology now it is possible to intercept motor control …

A neural population mechanism for rapid learning

MG Perich, JA Gallego, LE Miller - Neuron, 2018 - cell.com
Long-term learning of language, mathematics, and motor skills likely requires cortical
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

H Abbaspourazad, E Erturk, B Pesaran… - Nature Biomedical …, 2024 - nature.com
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 …

[HTML][HTML] Discovering precise temporal patterns in large-scale neural recordings through robust and interpretable time war**

AH Williams, B Poole, N Maheswaranathan… - Neuron, 2020 - cell.com
Though the temporal precision of neural computation has been studied intensively, a data-
driven determination of this precision remains a fundamental challenge. Reproducible spike …

Universality, criticality and complexity of information propagation in social media

D Notarmuzi, C Castellano, A Flammini… - Nature …, 2022 - nature.com
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 …

Inferring brain-wide interactions using data-constrained recurrent neural network models

MG Perich, C Arlt, S Soares, ME Young, CP Mosher… - BioRxiv, 2020 - biorxiv.org
Behavior arises from the coordinated activity of numerous anatomically and functionally
distinct brain regions. Modern experimental tools allow unprecedented access to large …

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

S Recanatesi, M Farrell, G Lajoie, S Deneve… - Nature …, 2021 - nature.com
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 …

Modeling and dissociation of intrinsic and input-driven neural population dynamics underlying behavior

P Vahidi, OG Sani, MM Shanechi - … of the National Academy of Sciences, 2024 - pnas.org
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 …