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Synaptic Package Manager

Known as: Kynaptic, Michael Vogt, Synaptic 
Synaptic is a GTK+-based graphical user interface for Advanced Packaging Tool (APT)—the Package management system used by Debian and its derivatives… Expand
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C++DebianEmmabuntüsGNOME
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks… Expand
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Highly Cited
2014
Highly Cited
2014
DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning
Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a broad range of systems (from embedded systems… Expand
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Highly Cited
2006
Highly Cited
2006
A specific amyloid-β protein assembly in the brain impairs memory
Memory function often declines with age, and is believed to deteriorate initially because of changes in synaptic function rather… Expand
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Highly Cited
2005
Highly Cited
2005
Synaptic Activity Regulates Interstitial Fluid Amyloid-β Levels In Vivo
Summary Aggregation of the amyloid-β (Aβ) peptide in the extracellular space of the brain is central to Alzheimer's disease… Expand
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Highly Cited
2002
Highly Cited
2002
Spiking Neuron Models: Single Neurons, Populations, Plasticity
1. Introduction Part I. Single Neuron Models: 2. Detailed neuron models 3. Two-dimensional neuron models 4. Formal spiking neuron… Expand
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Review
2002
Review
2002
Frequency effects in language acquisition: A review with implications for theories of implicit and explicit language acquisition. (Target article)
This article shows how language processing is intimately tuned to input frequency. Examples are given of frequency effects in the… Expand
Highly Cited
2001
Highly Cited
2001
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and… Expand
Highly Cited
1989
Highly Cited
1989
Optimal unsupervised learning in a single-layer linear feedforward neural network
  • T. Sanger
  • Neural Networks
  • 1989
    • Corpus ID: 10138295
Abstraet--A new approach to unsupervised learning in a single-layer linear feedforward neural network is discussed. An optimality… Expand
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Highly Cited
1987
Highly Cited
1987
Parallel Networks that Learn to Pronounce English Text
This paper describes NETtalk, a class of massively-parallel network systems that learn to convert English text to speech. The… Expand
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Highly Cited
1971
Highly Cited
1971
A Theory of Cerebellar Function
Abstract A comprehensive theory of cerebellar function is presented, which ties together the known anatomy and physiology of the… Expand
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