Results 101 to 110 of about 191,422 (338)
Multicoding in neural information transfer suggested by mathematical analysis of the frequency-dependent synaptic plasticity in vivo [PDF]
Two elements of neural information processing have primarily been proposed: firing rate and spike timing of neurons. In the case of synaptic plasticity, although spike-timing-dependent plasticity (STDP) depending on presynaptic and postsynaptic spike times had been considered the most common rule, recent studies have shown the inhibitory nature of the ...
arxiv
A kirigami‐inspired breathable smart contact lens is reported for wireless monitoring of corneal hypoxia and microenvironment. The ultrathin (55 µm) and flexible sensing device enables digitalized, in situ and precise monitoring of dissolved oxygen, humidity, and temperature (R2 >0.98).
Jiaxue Zhu+11 more
wiley +1 more source
The chromatin landscape of neuronal plasticity
Examining the links between neuronal activity, transcriptional output, and synaptic function offers unique insights into how neurons adapt to changing environments and form memories. Epigenetic markers, such as DNA methylation and histone modifications, have been implicated in the formation of not only cellular memories such as cell fate, but also ...
Erica Korb, Margaret Herre
openaire +4 more sources
Engineering the Future of Restorative Clinical Peripheral Nerve Surgery
What if damaged nerves could regenerate more effectively? This review unveils cutting‐edge strategies to restore nerve function, from biomaterial scaffolds and bioactive molecules to living engineered tissues. By accelerating axonal regrowth, preserving Schwann cells, and enhancing connectivity, these approaches are reshaping nerve repair—offering new ...
Justin C. Burrell+5 more
wiley +1 more source
Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons [PDF]
This paper introduces a rate-based nonlinear neural network in which excitatory (E) neurons receive feedforward excitation from sensory (S) neurons, and inhibit each other through disynaptic pathways mediated by inhibitory (I) interneurons. Correlation-based plasticity of disynaptic inhibition serves to incompletely decorrelate E neuron activity ...
arxiv
This proof‐of‐concept study involves high‐throughput teratogenicity screening of compounds using XEn/EpiCs, a 3D stem cell‐based embryo model, within microwells. The term ‘morphotoxicity’ is introduced to complement traditional cytotoxicity assays through automated feature extraction and machine‐learning‐assisted classification of morphologies.
Vinidhra Shankar+4 more
wiley +1 more source
Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches [PDF]
Neuronal avalanches measured in vitro and in vivo in different cortical networks consistently exhibit power law behaviour for the size and duration distributions with exponents typical for a mean field self-organized branching process. These exponents are also recovered in neuronal network simulations implementing various neuronal dynamics on different
arxiv
Highly sprouting organoid‐like neurovascular spheroids (NVUs) are developed, featuring cell‐loaded poly‐3‐hydroxybutyrate 4‐hydroxybutyrate(P34HB) porous microsphere cores embedded within Gelatin Methacryloyl. NVUs formed complex vascular plexuses and secreted extracellular matrix in vitro, simulating autologous nerves and blood interaction.
Junjin Jie+5 more
wiley +1 more source
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning [PDF]
In contrast to the human ability to continuously acquire knowledge, agents struggle with the stability-plasticity dilemma in deep reinforcement learning (DRL), which refers to the trade-off between retaining existing skills (stability) and learning new knowledge (plasticity).
arxiv
Learning of Precise Spike Times with Membrane Potential Dependent Synaptic Plasticity [PDF]
Precise spatio-temporal patterns of neuronal action potentials underly e.g. sensory representations and control of muscle activities. However, it is not known how the synaptic efficacies in the neuronal networks of the brain adapt such that they can reliably generate spikes at specific points in time.
arxiv