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Neuropixels 1.0 NHP is a 45-mm, high-density silicon probe capable of recording large numbers of neurons with single-neuron resolution from most areas in a macaque’s brain.
Naturalistic communication is an aim for neuroprostheses. Here the authors present a neuroprosthesis that restores the voice of a paralyzed person simultaneously with their speaking attempts, enabling naturalistic communication.
Kim and coworkers describe a technique, EPSILON, to map AMPA receptor exocytosis, a proxy for synaptic plasticity, in mice. The authors demonstrated a correlation between AMPA receptor exocytosis and cFos expression during a fear conditioning experiment.
Researchers developed DELTA, a method for brain-wide measurement of synaptic protein turnover with single-synapse resolution, providing a powerful tool to localize and study mechanisms underlying synaptic plasticity and learning.
The trans-Tango genetic strategy, which mediates signaling across synapses, was adapted to identify neural connections in a vertebrate nervous system, with synaptic partners confirmed in the retina and spinal cord of larval zebrafish.
Rastermap is an analysis method for exploring dynamical and spatial relationships among hundreds to hundreds of thousands of neurons. The algorithm uses a fast optimization technique to discover complex neural patterns, such as sequences.
The authors present DPAD, a deep learning method, for dynamical neural–behavioral modeling. It dissociates behaviorally relevant neural dynamics, better predicts neural–behavioral data and reveals insight into where their nonlinearities can be isolated.
Dong et al. developed and validated κLight, δLight and µLight, a suite of genetically encoded opioid peptide sensors for probing opioid drugs and brain-region/circuit-specific opioid release in behaving animals.
A probe incorporating 1,024 simultaneously recorded channels with shank length up to 90 mm exhibits high chronic recording stability and enables brain-wide large-scale neural population recordings with single-cell resolution in non-human primates.
Intersectional adeno-associated viruses are important for neuroscience research but can be limited by complex and bulky design parameters. Hughes et al. present a unique and space-saving approach that simplifies toolkit development and provides expanded functionality.
This paper presents Simple Behavioral Analysis (SimBA), an open-source platform for automated, explainable machine learning analysis of behavior. SimBA comes with extensive documentation, a graphical interface and an active community and works with any organism tracked by pose estimation.
Neural activity does not always lie in a low-dimensional subspace. The authors extend this classic view to show that task-relevant information is distributed across multiple covariability classes and propose a new method, sliceTCA, to disentangle them.
A real-time analysis system was developed for an up to 500-megabyte-per-second image stream. This system can extract activities from up to 100,000 neurons in larval zebrafish brains and enables closed-loop perturbations of brain-wide neural dynamics at cellular resolution.
Rabies-virus-based tracing is a widely used technique for mapping neural circuitry, but its cytotoxicity has limited its applications. Here Jin et al. present a second-generation system with minimal toxicity, using double-deletion-mutant rabies viruses.
Griggs, Norman et al. demonstrate a closed-loop ultrasound-based brain–machine interface (BMI) in rhesus macaques. The ultrasound BMI is capable of controlling eight independent movement directions and is stable across months without retraining.
Facemap is a data analysis framework for tracking keypoints on mouse faces and relating them to large-scale neural activity. Both of these steps use state-of-the-art convolutional neural networks to achieve high precision and fast processing speeds.
A multiplane confocal microscope provides high-contrast volumetric imaging at kilohertz rates. This system enables imaging of densely expressed genetically encoded voltage indicators with cellular resolution in the mouse brain in vivo and in vitro.
Sebenius et al. present Morphometric INverse Divergence (MIND), a robust MRI-based metric of similarity between brain areas that reflects biological factors that define cortical network architecture, such as gene expression and axonal connectivity.
Bonheur et al. developed a subcellular-distribution-based bidirectional neural activity reporter that operates on the timescale of minutes, and they demonstrate increases and decreases of neural activity associated with social behaviors in Drosophila.
The Neuro-stack is a wearable platform for recording from single neurons in freely moving humans. It also allows for personalized stimulation during real-time decoding of neural activity.