Results 71 to 80 of about 257,577 (143)
Inflammation in ALS and SMA: Sorting out the good from the evil
Indices of neuroinflammation are found in a variety of diseases of the CNS including amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA).
Dimitra Papadimitriou+5 more
doaj
Cyclin F can alter the turnover of TDP-43
Previously, we demonstrated that the SCFcyclin F complex directly mediates the poly-ubiquitylation of TDP-43, raising the question of whether cyclin F can be used to enhance the turnover of TDP-43.
Stephanie L. Rayner+12 more
doaj
Electric Responses of Auditory Neurons in Cat to Sound Stimulation. II
Yasuji Katsuki+3 more
openalex +2 more sources
Precision microfluidic control of neuronal ensembles in cultured cortical networks [PDF]
In vitro neuronal culture is an important research platform in cellular and network neuroscience. However, neurons cultured on a homogeneous scaffold form dense, randomly connected networks and display excessively synchronized activity; this phenomenon has limited their applications in network-level studies, such as studies of neuronal ensembles, or ...
arxiv
In patients with amyotrophic lateral sclerosis (ALS), mechanical insufflation-exsufflation (MI-E) addresses cough deficiency to achieve major therapeutic goals: improving costal muscle and joint function, reducing atelectasis through insufflation, and ...
André Maier+24 more
doaj +1 more source
Deciphering Functions of Neurons in Vision-Language Models [PDF]
The burgeoning growth of open-sourced vision-language models (VLMs) has catalyzed a plethora of applications across diverse domains. Ensuring the transparency and interpretability of these models is critical for fostering trustworthy and responsible AI systems.
arxiv
Physiology of Spinal Neurons, Progress in Brain Research [PDF]
R. Werman
openalex +1 more source
Using Single-Neuron Representations for Hierarchical Concepts as Abstractions of Multi-Neuron Representations [PDF]
Brain networks exhibit complications such as noise, neuron failures, and partial synaptic connectivity. These can make it difficult to model and analyze their behavior. This paper describes a way to address this difficulty, namely, breaking down the models and analysis using levels of abstraction. We describe the approach for the problem of recognizing
arxiv