A semi-supervised pipeline for accurate neuron segmentation with fewer ground truth labels

CM Baker, Y Gong - eneuro, 2024 - eneuro.org
Recent advancements in two-photon calcium imaging have enabled scientists to record the
activity of thousands of neurons with cellular resolution. This scope of data collection is …

Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach

A Pourhedayat, M Aghababaeipour Dehkordi… - Cognitive …, 2024 - Springer
Using rodents as a model of physiological vision studies requires adequate information
about their visual cortex. Although the primary visual cortex of rats has different sub-regions …

The sloppy relationship between neural circuit structure and function

MH Hennig - The Journal of Physiology, 2023 - Wiley Online Library
Investigating and describing the relationships between the structure of a circuit and its
function has a long tradition in neuroscience. Since neural circuits acquire their structure …

Sensory experience steers representational drift in mouse visual cortex

J Bauer, U Lewin, E Herbert, J Gjorgjieva… - bioRxiv, 2023 - biorxiv.org
Representational drift–the gradual continuous change of neuronal representations–has
been observed across many brain areas. It is unclear whether drift is caused by synaptic …

Accounting for bias in the estimation of r2 between two sets of noisy neural responses

DA Pospisil, W Bair - Journal of Neuroscience, 2022 - Soc Neuroscience
The Pearson correlation coefficient squared, r 2, is an important tool used in the analysis of
neural data to quantify the similarity between neural tuning curves. Yet this metric is biased …

[HTML][HTML] Long-term, high-resolution in vivo calcium imaging in pigeons

S Nimpf, HS Kaplan, GC Nordmann, T Cushion… - Cell Reports …, 2024 - cell.com
In vivo 2-photon calcium imaging has led to fundamental advances in our understanding of
sensory circuits in mammalian species. In contrast, few studies have exploited this …

Integrating statistical and machine learning approaches for neural classification

M Sarmashghi, SP Jadhav, UT Eden - IEEE Access, 2022 - ieeexplore.ieee.org
Neurons can code for multiple variables simultaneously and neuroscientists are often
interested in classifying neurons based on their receptive field properties. Statistical models …

Tracking neurons across days with high-density probes

EH van Beest, C Bimbard, JMJ Fabre, F Takács… - bioRxiv, 2023 - biorxiv.org
Neural activity spans multiple scales from milliseconds to months. Its evolution can be
recorded with chronic electrodes, and especially with high-density arrays such as …

[HTML][HTML] Computational assessment of visual coding across mouse brain areas and behavioural states

Y Xie, S Sadeh - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Introduction Our brain is bombarded by a diverse range of visual stimuli, which are
converted into corresponding neuronal responses and processed throughout the visual …

Mega-scale movie-fields in the mouse visuo-hippocampal network

P Chinmay, M Mayank - eLife, 2023 - search.proquest.com
Natural visual experience involves a continuous series of related images while the subject is
immobile. How does the cortico-hippocampal circuit process a visual episode? The …