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Adolescent thalamic inhibition leads to long-lasting impairments in prefrontal cortex function
Nature Neuroscience
DOI: 10.1038/s41593-022-01072-y
Impaired cortical maturation is a postulated mechanism in the etiology of neurodevelopmental disorders, including schizophrenia. In the sensory cortex, activity relayed by the thalamus during a postnatal sensitive period is essential for proper cortical maturation.
Coupling of Mouse Olfactory Bulb Projection Neurons to Fluctuating Odor Pulses
The Journal of Neuroscience
DOI: 10.1523/jneurosci.1422-21.2022
Odors are transported by turbulent air currents, creating complex temporal fluctuations in odor concentration that provide a potentially informative stimulus dimension.
Blind demixing methods for recovering dense neuronal morphology from barcode imaging data
PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1009991
Here we use simulations, based on densely-reconstructed electron microscopy microanatomy, with signal structure matched to real barcoding data, to quantify the feasibility of this procedure.
Of flies, mice and neural control of food intake: lessons to learn from both models
Current Opinion in Neurobiology
DOI: 10.1016/j.conb.2022.102531
In this review, we discuss the recent literature on neural control of food intake behaviors in mice and flies with the view that these two model organisms complement one another in efforts to uncover conserved principles brains use to regulate energy metabolism and food ingestion.
On the relationship between predictive coding and backpropagation
PLOS ONE
DOI: 10.1371/journal.pone.0266102
This manuscript reviews and extends recent work on the mathematical relationship between predictive coding and backpropagation for training feedforward artificial neural networks on supervised learning tasks.
Emergence of Irregular Activity in Networks of Strongly Coupled Conductance-Based Neurons
Physical Review X
DOI: 10.1103/physrevx.12.011044
Cortical neurons are characterized by irregular firing and a broad distribution of rates. The balanced state model explains these observations with a cancellation of mean excitatory and inhibitory currents, which makes fluctuations drive firing.
Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
NeuroImage
DOI: 10.1016/j.neuroimage.2021.118849
Task-based and resting-state represent the two most common experimental paradigms of functional neuroimaging. While resting-state offers a flexible and scalable approach for characterizing brain function, task-based techniques provide superior localization.
Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights
PLOS Computational Biology
DOI: 10.1371/journal.pcbi.1008836
A class of models in computational neuroscience that have been successful at describing a variety of effects in the neocortex involve a tight balance between excitatory, inhibitory and unrealistically large external input, without which the model cannot produce robust activity patterns.
Connectomics: Relating synaptic connectivity to physiology
Current Biology
DOI: 10.1016/j.cub.2021.12.037
Synaptic wiring diagrams, or connectomes, promise constraints for highly detailed neural circuit models, but relating the connectivity information they provide to physiological properties is challenging. A new study describes this relationship for a fruit fly neural pathway.