Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity

M Jazayeri, S Ostojic - Current opinion in neurobiology, 2021 - Elsevier
The ongoing exponential rise in recording capacity calls for new approaches for analysing
and interpreting neural data. Effective dimensionality has emerged as an important property …

Not so spontaneous: Multi-dimensional representations of behaviors and context in sensory areas

L Avitan, C Stringer - Neuron, 2022 - cell.com
Sensory areas are spontaneously active in the absence of sensory stimuli. This
spontaneous activity has long been studied; however, its functional role remains largely …

Facemap: a framework for modeling neural activity based on orofacial tracking

A Syeda, L Zhong, R Tung, W Long, M Pachitariu… - Nature …, 2024 - nature.com
Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural
activity across the brain. To understand the nature and function of these signals, we need …

Rastermap: a discovery method for neural population recordings

C Stringer, L Zhong, A Syeda, F Du, M Kesa… - Nature …, 2024 - nature.com
Neurophysiology has long progressed through exploratory experiments and chance
discoveries. Anecdotes abound of researchers listening to spikes in real time and noticing …

Local synaptic inhibition mediates cerebellar granule cell pattern separation and enables learned sensorimotor associations

EA Fleming, GD Field, MR Tadross, C Hull - Nature Neuroscience, 2024 - nature.com
The cerebellar cortex has a key role in generating predictive sensorimotor associations. To
do so, the granule cell layer is thought to establish unique sensorimotor representations for …

Structured cerebellar connectivity supports resilient pattern separation

TM Nguyen, LA Thomas, JL Rhoades, I Ricchi… - Nature, 2023 - nature.com
The cerebellum is thought to help detect and correct errors between intended and executed
commands, and is critical for social behaviours, cognition and emotion,,–. Computations for …

The cerebellar cortex

C Hull, WG Regehr - Annual review of neuroscience, 2022 - annualreviews.org
The cerebellar cortex is an important system for relating neural circuits and learning. Its
promise reflects the longstanding idea that it contains simple, repeated circuit modules with …

Blazed oblique plane microscopy reveals scale-invariant inference of brain-wide population activity

M Hoffmann, J Henninger, J Veith, L Richter… - Nature …, 2023 - nature.com
Due to the size and opacity of vertebrate brains, it has until now been impossible to
simultaneously record neuronal activity at cellular resolution across the entire adult brain. As …

Extracting computational mechanisms from neural data using low-rank RNNs

A Valente, JW Pillow, S Ostojic - Advances in Neural …, 2022 - proceedings.neurips.cc
An influential framework within systems neuroscience posits that neural computations can
be understood in terms of low-dimensional dynamics in recurrent circuits. A number of …

Signatures of task learning in neural representations

H Gurnani, NAC Gajic - Current opinion in neurobiology, 2023 - Elsevier
While neural plasticity has long been studied as the basis of learning, the growth of large-
scale neural recording techniques provides a unique opportunity to study how learning …