Discovering causal relations and equations from data

G Camps-Valls, A Gerhardus, U Ninad, G Varando… - Physics Reports, 2023 - Elsevier
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Reconstructing computational system dynamics from neural data with recurrent neural networks

D Durstewitz, G Koppe, MI Thurm - Nature Reviews Neuroscience, 2023 - nature.com
Computational models in neuroscience usually take the form of systems of differential
equations. The behaviour of such systems is the subject of dynamical systems theory …

Learnable latent embeddings for joint behavioural and neural analysis

S Schneider, JH Lee, MW Mathis - Nature, 2023 - nature.com
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …

Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Y Yang, S Qiao, OG Sani, JI Sedillo… - Nature biomedical …, 2021 - nature.com
Direct electrical stimulation can modulate the activity of brain networks for the treatment of
several neurological and neuropsychiatric disorders and for restoring lost function. However …

[HTML][HTML] Deep brain stimulation for depression informed by intracranial recordings

SA Sheth, KR Bijanki, B Metzger, A Allawala, V Pirtle… - Biological …, 2022 - Elsevier
The success of deep brain stimulation (DBS) for treating Parkinson's disease has led to its
application to several other disorders, including treatment-resistant depression. Results with …

Multiregion neuronal activity: the forest and the trees

TA Machado, IV Kauvar, K Deisseroth - Nature Reviews Neuroscience, 2022 - nature.com
The past decade has witnessed remarkable advances in the simultaneous measurement of
neuronal activity across many brain regions, enabling fundamentally new explorations of the …

Neural latents benchmark'21: evaluating latent variable models of neural population activity

F Pei, J Ye, D Zoltowski, A Wu, RH Chowdhury… - arXiv preprint arXiv …, 2021 - arxiv.org
Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …

The science and engineering behind sensitized brain-controlled bionic hands

C Pandarinath, SJ Bensmaia - Physiological Reviews, 2022 - journals.physiology.org
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …

[HTML][HTML] Brain-wide neural activity underlying memory-guided movement

S Chen, Y Liu, ZA Wang, J Colonell, LD Liu, H Hou… - Cell, 2024 - cell.com
Behavior relies on activity in structured neural circuits that are distributed across the brain,
but most experiments probe neurons in a single area at a time. Using multiple Neuropixels …

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 …