synaptic & neural circuits

This paper solves a general optimization problem for the evolutionary cost of a simplified nervous system model, confirming optimal neuronal spikes and response functions.

This paper introduces a subject-aware deep-learning system to quantify social roles in multi-animal groups across species and assays.

This paper introduces IMSC, a method to analyze coupling between brain structure and function, and finds that reading ability correlates with specific patterns of function-structure coupling in children.

NeuroMotion generates synthetic EMG signals during voluntary movements by integrating musculoskeletal models, neural networks, and motor unit models, enabling analysis of neuromechanical interactions.

This study uses time-resolved cryo-EM to visualize early intermediates in bacterial RNA polymerase promoter melting, revealing key steps in the formation of the transcription-competent open complex.

The paper introduces a holistic inference model for stimulus orientation perception, showing it accurately describes human responses better than previous models.

This study develops a 3D leg model for Drosophila melanogaster using anatomical landmarks to analyze joint kinematics during walking, revealing differences in joint motion and the benefits of natural rotational axis alignment.

The paper develops methods to image glutamatergic synapses in hippocampal tissue using cryo-electron tomography, enabling high-resolution visualization of synaptic structures.

This paper extends a previous model of a nervous system by analyzing the asymptotic behavior of optimal solutions for motor and sensory responses to predator approach.

This paper shows that 40 Hz hippocampal stimulation rescues spatial learning and memory in Alzheimer's mice but not the link between sleep coordination and memory performance.

This paper applies inverse reinforcement learning to directly infer the underlying motivations driving mouse behavior in behavioral paradigms.

The paper investigates wavenumber-dependent transmission of subthreshold oscillations in a C. elegans electrical synapse network model, identifying transmission patterns and thresholds.

This paper develops and validates a neuromusculoskeletal model with reflex-based muscle control to simulate sit-to-walk movements under varying conditions and study age-related compensation strategies.

This study shows leaf-cutting ants can anticipate sucrose availability through spatio-temporal learning, adjusting their foraging behavior to predict and locate food.

This study creates a water-stable conductive composite using microbial pilin-based nanowires and demonstrates its use as a sensitive ammonia sensor with tunable response.

This study shows that inhibiting WNK kinases improves learning and memory in mice by enhancing hippocampal glucose uptake and insulin signaling.

This study investigates how flow and bacterial growth interact to control biofilm dynamics in microchannels, revealing self-sustained fluctuations due to pressure build-up and stochastic sloughing events.

This study shows that music improvisation with live accompaniment increases motor response and enjoyment during a music-playing task compared to other conditions.

This study shows that PLSCR1 is essential for synaptic vesicle retrieval and neurotransmission by regulating phospholipid asymmetry at cerebellar synapses.

The paper derives the exact distribution of quantal content in synaptic transmission for different AP input patterns and validates it with electrophysiological data from mice.

The paper introduces a selective illumination method for a line-scanning confocal mesoscope to improve background rejection in in vivo mouse brain imaging.

This paper introduces SonoNERFs, a method using Neural Radiance Fields to model bat echolocation and reconstruct 3D scenes from acoustic data.

This study uses predictive musculoskeletal simulations to show that delayed center of mass feedback in elderly humans increases muscle co-contraction and alters balance strategies during perturbations.

This study examines how chronic microelectrode implantation affects functional connectivity in different cortical layers and the hippocampus over 16 weeks, finding layer-specific impairments and altered interlaminar communication.

This paper develops methods to evolve visual patterns under wild predator selection using genetic algorithms and demonstrates their feasibility in field experiments with birds.

This study shows marmosets adjust their vigilance rhythms to synchronize, demonstrating flexible and controllable coupling between pairs.

This paper introduces a neuromusculoskeletal model for simulating upright standing postural control using sensor feedback, showing it can replicate physiological joint movements and reactive balance behavior.

This study investigates how metabolic state and taste value influence exploration-exploitation trade-offs in Drosophila using a novel foraging assay.

This study examines how neural activity in the primate lateral prefrontal cortex is organized during different cognitive tasks, finding that task-related activity has a consistent spatial scaffold with task-specific reconfiguration.

This study presents an agent-based model to explore how individual decision-making based on personal and social information influences collective foraging outcomes in different environments.