Blind demixing methods for recovering dense neuronal morphology from barcode imaging data
PLOS Computational Biology
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
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
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
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.
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries
Medical Image Analysis
Neuroimaging studies are often limited by the number of subjects and cognitive processes that can be feasibly interrogated. However, a rapidly growing number of neuroscientific studies have collectively accumulated an extensive wealth of results.
Sparse balance: Excitatory-inhibitory networks with small bias currents and broadly distributed synaptic weights
PLOS Computational Biology
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
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.
Intravital three-photon microscopy allows visualization over the entire depth of mouse lymph nodes
Intravital confocal microscopy and two-photon microscopy are powerful tools to explore the dynamic behavior of immune cells in mouse lymph nodes (LNs), with penetration depth of ~100 and ~300 μm, respectively.
Multiphoton imaging of neural structure and activity in Drosophila through the intact cuticle
We developed a multiphoton imaging method to capture neural structure and activity in behaving flies through the intact cuticle. Our measurements showed that the fly head cuticle has surprisingly high transmission at wavelengths >900nm.