In trained reaching rats, we recorded simple spikes of pairs of Purkinje cells that, with respect to each other, were either aligned on a beam of shared parallel fibers or instead were located off beam. Rates of simple spike firing in both on-beam and off-beam Purkinje cell pairs commonly showed great variety in depth of modulation during reaching behavior. But with respect to timing, on-beam Purkinje cell pairs had simple spikes that were tightly time-locked to each other (either delayed or simultaneous) and to movement, despite the variability in rate. By contrast, off-beam Purkinje cell pairs had simple spikes that were not time-locked to each other, neither delayed nor simultaneous. We discuss the implications of these observations for the cerebellar role in timing and coordinating movement.
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http://dx.doi.org/10.1073/pnas.0609966104 | DOI Listing |
Neural Comput
January 2025
Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K.
The creation of future low-power neuromorphic solutions requires specialist spiking neural network (SNN) algorithms that are optimized for neuromorphic settings. One such algorithmic challenge is the ability to recall learned patterns from their noisy variants. Solutions to this problem may be required to memorize vast numbers of patterns based on limited training data and subsequently recall the patterns in the presence of noise.
View Article and Find Full Text PDFBackground: Cutting-edge ultrasensitive immunoassay platforms have unveiled the potential of blood-based biomarkers, offering detection at low fg/mL levels for early neurodegenerative disorder prognosis, screening, and therapeutic monitoring. Current immunoassays, such as single molecule array (SIMOA) and mesoscale multi-array (MSD), face limited adoption due to their reliance on specialized equipment. Additionally, they require immobilization of probe reagents and a washing process, demanding tens of thousands of proteins to achieve the Limit of Detection (LOD), leading to the requirement of high sample volume and high affinity antibodies for fg/mL sensitivity.
View Article and Find Full Text PDFFront Nutr
December 2024
Department of Microbiology, SRM Medical College Hospital and Research Centre, SRM IST, Kattankulathur, Tamil Nadu, India.
Background: Gestational diabetes mellitus (GDM) poses significant risks to both maternal and fetal health, including a heightened risk of developing type 2 diabetes (T2DM) in the future. Effective management often involves dietary changes, such as food-order, where vegetables are consumed first, followed by proteins, and then carbohydrates last. This study investigates whether food sequence improves glycemic control in women with GDM by slowing carbohydrate absorption, reducing glucose spikes, and enhancing insulin sensitivity.
View Article and Find Full Text PDFFront Neurol
December 2024
Department of Head and Neck Surgery and Brain Research Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
The relative accessibility and simplicity of vestibular sensing and vestibular-driven control of head and eye movements has made the vestibular system an attractive subject to experimenters and theoreticians interested in developing realistic quantitative models of how brains gather and interpret sense data and use it to guide behavior. Head stabilization and eye counter-rotation driven by vestibular sensory input in response to rotational perturbations represent natural, ecologically important behaviors that can be reproduced in the laboratory and analyzed using relatively simple mathematical models. Models drawn from dynamical systems and control theory have previously been used to analyze the behavior of vestibular sensory neurons.
View Article and Find Full Text PDFNat Commun
December 2024
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China.
Imaging flow cytometry allows image-activated cell sorting (IACS) with enhanced feature dimensions in cellular morphology, structure, and composition. However, existing IACS frameworks suffer from the challenges of 3D information loss and processing latency dilemma in real-time sorting operation. Herein, we establish a neuromorphic-enabled video-activated cell sorter (NEVACS) framework, designed to achieve high-dimensional spatiotemporal characterization content alongside high-throughput sorting of particles in wide field of view.
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