Discovering causal relations and equations from data
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 …
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
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 …
equations. The behaviour of such systems is the subject of dynamical systems theory …
Learnable latent embeddings for joint behavioural and neural analysis
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 …
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
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 …
several neurological and neuropsychiatric disorders and for restoring lost function. However …
[HTML][HTML] Deep brain stimulation for depression informed by intracranial recordings
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 …
application to several other disorders, including treatment-resistant depression. Results with …
Multiregion neuronal activity: the forest and the trees
The past decade has witnessed remarkable advances in the simultaneous measurement of
neuronal activity across many brain regions, enabling fundamentally new explorations of the …
neuronal activity across many brain regions, enabling fundamentally new explorations of the …
Neural latents benchmark'21: evaluating latent variable models of neural population activity
Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …
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 …
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
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 …
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
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 …