• Mashup Score: 0
    MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm - 7 month(s) ago

    Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread use in recent years. In the UAV swarm cooperative decision domain, multi-agent deep reinforcement learning has significant potential. However, current approaches are challenged by the multivariate mission environment and mission time constraints. In light of…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm: Unmanned Aerial Vehicles (UAVs) have gained popularity due to their low lifecycle cost and minimal human risk, resulting in their widespread… #Neurorobotics https://t.co/NfIkaZL9wM

  • Mashup Score: 3
    Human Neuroscience Studies in the Wild Using Wearable Technologies - 9 month(s) ago

    The human brain constantly receives external environmental inputs, creates complex thoughts and memories, initiates body movements, and adapts itself over time as we live our experiences. Traditional experiments have stayed in a controlled laboratory environment and examined simplified tasks and cues, with minimized distractions and stimuli, which remains the state-of-the-art approach to human…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      🚨New Research Topic Alert🚨 We are delighted to welcome submissions to this fascinating new topic hosted by @lyndiawu1, @LaksariLab, and Calvin Kuo. For full information, please visit the topic homepage here➡️https://t.co/egQdiizPzl https://t.co/QbWuNbgxzg

  • Mashup Score: 1
    Editorial: Neuromodulation by digital and analog drugs in consciousness research - 9 month(s) ago

    The purpose of this Frontiers Research Topic was to enhance our scientific understanding of the relationship between different kinds of neuromodulation and their effects on states of consciousness. As such, the topic was deliberately broadly framed, and the diversity of the resulting publications keenly illustrates the breadth of the field of neurostimulation and consciousness.Two contributions…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: Editorial: Neuromodulation by digital and analog drugs in consciousness research #Neuroscience https://t.co/4RuaUiEfpi

  • Mashup Score: 0
    From Theory to Practice: The Latest Developments in Neuromorphic Computing Applications - 9 month(s) ago

    Artificial Neural Networks (ANNs) are conceptual models of biological neurons that were originally developed to tackle complex problems such as classification, pattern recognition, and forecasting through optimization. However, their high computational demands have raised concerns about the significant energy consumption associated with their use, particularly in large-scale problems and…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      🚨Don't miss out on this exciting opportunity to be a part of the latest advancements in Neuromorphic Computing Applications! Join Rose Gomar, Majid Ahmadi, Arash Ahmadi in this new Research Topic and submit your abstract by 1 September. Learn more at➡️https://t.co/GMkRKESZX5 https://t.co/WAWCQrNaWQ

  • Mashup Score: 0
    A scalable implementation of the recursive least-squares algorithm for training spiking neural networks - 9 month(s) ago

    Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a popular way to study computations performed by the nervous system. As the size and complexity of neural recordings increase, there is a need for efficient algorithms that can train models in a short period of time using minimal resources. We present optimized CPU and GPU implementations of the…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: A scalable implementation of the recursive least-squares algorithm for training spiking neural networks #Neuroinformatics https://t.co/2K1mzQIXCx

  • Mashup Score: 0
    An open-source human-in-the-loop BCI research framework: method and design - 9 month(s) ago

    Brain-computer interfaces (BCIs) translate brain activity into digital commands for interaction with the physical world. The technology has great potential in several applied areas, ranging from medical applications to entertainment industry, and creates new conditions for basic research in cognitive neuroscience. The BCIs of today, however, offer only crude online classification of the user’s…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: An open-source human-in-the-loop BCI research framework: method and design: Brain-computer interfaces (BCIs) translate brain activity into digital commands for interaction with the physical world. The technology has great… #Neuroscience https://t.co/CS3VxZ4nE8

  • Mashup Score: 2
    Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning - 9 month(s) ago

    Deep reinforcement learning (RL) agents often suffer from catastrophic forgetting, forgetting previously found solutions in parts of the input space when training new data. Replay memories are a common solution to the problem by decorrelating and shuffling old and new training samples. They naively store state transitions as they arrive, without regard for redundancy. We introduce a novel…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: Map-based experience replay: a memory-efficient solution to catastrophic forgetting in reinforcement learning: Deep reinforcement learning (RL) agents often suffer from catastrophic forgetting, forgetting previously found… #Neurorobotics https://t.co/JjBoPsqwZQ

  • Mashup Score: 1
    Single-cell chromatin accessibility profiling of cell-state-specific gene regulatory programs during mouse organogenesis - 9 month(s) ago

    In mammals, early organogenesis begins soon after gastrulation, accompanied by specification of various type of progenitor/precusor cells. In order to reveal dynamic chromatin landscape of precursor cells and decipher the underlying molecular mechanism driving early mouse organogenesis, we performed single-cell ATAC-seq of E8.5-E10.5 mouse embryos. We profiled a total of 101,599 single cells and…

    Source: Frontiers
    Categories: Latest Headlines, Neurology
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      FrontNeurosci

      New Research: Single-cell chromatin accessibility profiling of cell-state-specific gene regulatory programs during mouse organogenesis: In mammals, early organogenesis begins soon after gastrulation, accompanied by specification of various… #Neuroscience https://t.co/gwLUcpYCS1

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