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Mashup Score: 5Frontiers | The significance of cerebellar contributions in early-life through aging - 5 hour(s) ago
IntroductionCerebellar microanatomy has inspired many computational models that contribute to both motor and nonmotor function. Key contributors to understan…
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Mashup Score: 4Frontiers | Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity - 2 day(s) ago
A compact description of the frequency structure and topography of human alpha-band rhythms is obtained by use of the first four brain activity eigenmodes pr…
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Mashup Score: 2
Prenatal alcohol exposure (PAE) refers to the exposure of the developing fetus due to alcohol consumption during pregnancy and can have life-long consequence…
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Mashup Score: 1Frontiers | Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system - 8 day(s) ago
IntroductionHistorically, Parkinson’s Disease (PD) research has focused on the dysfunction of dopamine-producing cells in the substantia nigra pars compacta,…
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Mashup Score: 0
There have been impressive advancements in the field of natural language processing (NLP) in recent years, largely driven by innovations in the development o…
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Mashup Score: 5
The development of biologically realistic models of brain microcircuits and regions constitutes currently a very relevant topic in computational neuroscience…
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Mashup Score: 3
IntroductionBehaviors often involve a sequence of events, and learning and reproducing it is essential for sequential memory. Brain loop structures refer to …
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Mashup Score: 10Frontiers | Eight challenges in developing theory of intelligence - 3 month(s) ago
A good theory of mathematical beauty is more practical than any current observation, as new predictions about physical reality can be self-consistently verif…
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Mashup Score: 9
School of Microelectronics, Key Lab of Micro-Nano Electronics and System Integration of Xi’ an City, Xi’ an Jiaotong University, Xi’ an, China One of the key challenges in computational neuroscience is the need for powerful simulation platforms to study complex neural network models. Traditional simulators often struggle to keep up with the complexity and scale of these models, leading to slow simulation times and limited insights. To address this challenge, Kauth et al. introduced the neuroAIx-Framework,
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Mashup Score: 7Frontiers | EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism - 3 month(s) ago
EEG-based emotion recognition is becoming crucial in brain-computer interfaces (BCI). Currently, most researches focus on improving accuracy, while neglectin…
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New Research: The significance of cerebellar contributions in early-life through aging https://t.co/NeTy66E0cQ #FrontiersIn #ComputationalNeuroscience