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 …
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 …
spontaneous activity has long been studied; however, its functional role remains largely …
Facemap: a framework for modeling neural activity based on orofacial tracking
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 …
activity across the brain. To understand the nature and function of these signals, we need …
Rastermap: a discovery method for neural population recordings
Neurophysiology has long progressed through exploratory experiments and chance
discoveries. Anecdotes abound of researchers listening to spikes in real time and noticing …
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
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 …
do so, the granule cell layer is thought to establish unique sensorimotor representations for …
Structured cerebellar connectivity supports resilient pattern separation
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 …
commands, and is critical for social behaviours, cognition and emotion,,–. Computations for …
The cerebellar cortex
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 …
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
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 …
simultaneously record neuronal activity at cellular resolution across the entire adult brain. As …
Extracting computational mechanisms from neural data using low-rank RNNs
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 …
be understood in terms of low-dimensional dynamics in recurrent circuits. A number of …
Signatures of task learning in neural representations
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 …
scale neural recording techniques provides a unique opportunity to study how learning …