The structures and functions of correlations in neural population codes
The collective activity of a population of neurons, beyond the properties of individual cells, is
crucial for many brain functions. A fundamental question is how activity correlations between …
crucial for many brain functions. A fundamental question is how activity correlations between …
Two-photon calcium imaging of neuronal activity
In vivo two-photon calcium imaging (2PCI) is a technique used for recording neuronal
activity in the intact brain. It is based on the principle that, when neurons fire action …
activity in the intact brain. It is based on the principle that, when neurons fire action …
Distributed coding of choice, action and engagement across the mouse brain
Vision, choice, action and behavioural engagement arise from neuronal activity that may be
distributed across brain regions. Here we delineate the spatial distribution of neurons …
distributed across brain regions. Here we delineate the spatial distribution of neurons …
Representational drift in primary olfactory cortex
CE Schoonover, SN Ohashi, R Axel, AJP Fink - Nature, 2021 - nature.com
Perceptual constancy requires the brain to maintain a stable representation of sensory input.
In the olfactory system, activity in primary olfactory cortex (piriform cortex) is thought to …
In the olfactory system, activity in primary olfactory cortex (piriform cortex) is thought to …
Predictive processing: a canonical cortical computation
GB Keller, TD Mrsic-Flogel - Neuron, 2018 - cell.com
This perspective describes predictive processing as a computational framework for
understanding cortical function in the context of emerging evidence, with a focus on sensory …
understanding cortical function in the context of emerging evidence, with a focus on sensory …
Cortical layer–specific critical dynamics triggering perception
INTRODUCTION Perceptual experiences in mammals may arise from patterns of neural
circuit activity in cerebral cortex. For example, primary visual cortex (V1) is causally capable …
circuit activity in cerebral cortex. For example, primary visual cortex (V1) is causally capable …
Random synaptic feedback weights support error backpropagation for deep learning
TP Lillicrap, D Cownden, DB Tweed… - Nature …, 2016 - nature.com
The brain processes information through multiple layers of neurons. This deep architecture
is representationally powerful, but complicates learning because it is difficult to identify the …
is representationally powerful, but complicates learning because it is difficult to identify the …
Dendritic cortical microcircuits approximate the backpropagation algorithm
J Sacramento, R Ponte Costa… - Advances in neural …, 2018 - proceedings.neurips.cc
Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …
inspired by neuroscience. However, the main learning mechanism behind these advances …
Suite2p: beyond 10,000 neurons with standard two-photon microscopy
The combination of two-photon microscopy recordings and powerful calcium-dependent
fluorescent sensors enables simultaneous recording of unprecedentedly large populations …
fluorescent sensors enables simultaneous recording of unprecedentedly large populations …