Results 11 to 20 of about 287,859 (265)
On the number of states of the neuronal sources [PDF]
Biosystems, 2003 In a previous paper (Proceedings of the World Congress on Neuroinformatics (2001)) the authors applied the so-called Lempel-Ziv complexity to study neural discharges (spike trains) from an information-theoretical point of view. Along with other results, it is shown there that this concept of complexity allows to characterize the responses of primary ...
Amigó, José María +3 more
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Neuronal Activity Changes the Number of Neurons That Are Synaptically Connected to OPCs
eneuro, 2023 Abstract The timing and specificity of oligodendrocyte myelination during development, as well as remyelination after injury or immune attack, remain poorly understood. Recent work has shown that oligodendrocyte progenitors receive synapses from neurons, providing a potential mechanism for neuronal-glial ...
Daniela Moura +10 more
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The evolution of brain neuron numbers in amniotes
Proceedings of the National Academy of Sciences, 2022 Significance The evolution of brain processing capacity has traditionally been inferred from data on brain size. However, similarly sized brains of distantly related species can differ in the number and distribution of neurons, their basic computational units.
Kristina Kverková +10 more
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Resolution of Nested Neuronal Representations Can Be Exponential in the Number of Neurons [PDF]
Physical Review Letters, 2012 Collective computation is typically polynomial in the number of computational elements, such as transistors or neurons, whether one considers the storage capacity of a memory device or the number of floating-point operations per second of a CPU. However, we show here that the capacity of a computational network to resolve real-valued signals of ...
Mathis, Alexander +2 more
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Experience Affects Recruitment of New Neurons But Not Adult Neuron Number [PDF]
The Journal of Neuroscience, 2002 It is not known whether the addition of new neurons to the high vocal center (HVC) of juvenile zebra finches permits vocal learning or is the consequence of it. To tease apart these two, we performed surgery on 26-d-old juveniles. The operations were removal of both cochleae and unilateral or bilateral denervation of the syrinx.
Linda, Wilbrecht +2 more
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The number of neurons in Drosophila and mosquito brains
PLOS ONE, 2021 Various insect species serve as valuable model systems for investigating the cellular and molecular mechanisms by which a brain controls sophisticated behaviors. In particular, the nervous system of Drosophila melanogaster has been extensively studied, yet experiments aimed at determining the number of neurons in the Drosophila brain are surprisingly ...
Joshua I. Raji, Christopher J. Potter
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Deep Network Approximation Characterized by Number of Neurons [PDF]
Communications in Computational Physics, 2020 This paper quantitatively characterizes the approximation power of deep feed-forward neural networks (FNNs) in terms of the number of neurons. It is shown by construction that ReLU FNNs with width $\mathcal{O}$(max{$d⌊N^{1/d}⌋$,$N$+1}) and depth $\mathcal{O}(L)$ can approximate an arbitrary Hölder continuous function of order $α∈(0,1]$ on $[0,1]^d ...
Zuowei Shen, Haizhao Yang, Shijun Zhang
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Alteration in the number of neuronal and non-neuronal cells in mouse models of obesity
Brain Communications, 2023 AbstractObesity is defined as abnormal or excessive fat accumulation that may impair health and is a risk factor for developing other diseases, such as type 2 diabetes and cardiovascular disorder. Obesity is also associated with structural and functional alterations in the brain, and this condition has been shown to increase the risk of Alzheimer’s ...
Mayara M Andrade +10 more
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Neural Regeneration Research, 2020 Neonatal hypoxia-ischemia (HI) results in losses of serotonergic neurons in specific dorsal raphé nuclei. However, not all serotonergic raphé neurons are lost and it is therefore important to assess the function of remaining neurons in order to ...
Hanna E Reinebrant +2 more
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Communications Biology, 2023 Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify cell numbers, and fluorescence signals within cellular compartments, derived from RNAscope or immunohistochemistry.
Nicole Burkert +16 more
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