A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition

No abstract is available for this paper.

• Publication year

  2015

• Venue

  IEEE Transactions on Neural Networks and Learning Systems

• Publication date

  2015-01-27

• Fields of study

  Medicine, Computer Science, Engineering

• Identifiers
  DOI 10.1109/TNNLS.2015.2388544PMID 25643415
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Adaptive Switching Circuits

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  2011cited by this paper
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  2011cited by this paper
• SWAT: A Spiking Neural Network Training Algorithm for Classification Problems

  2010cited by this paper
• The Chronotron: A Neuron That Learns to Fire Temporally Precise Spike Patterns

  2010cited by this paper
• Speech Recognition by Machine, A Review

  2010cited by this paper
• Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting

  2010influential reference
• Neuro-Inspired Speech Recognition Based on Reservoir Computing

  2010cited by this paper
• State-dependent computations: spatiotemporal processing in cortical networks

  2009cited by this paper
• Reservoir computing for static pattern recognition

  2009cited by this paper
• The Application of Liquid State Machines in Robot Path Planning

  2009cited by this paper
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  2008cited by this paper
• Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics

  2007influential reference
• What Makes a Dynamical System Computationally Powerful

  2007cited by this paper
• 2007 Special Issue: Edge of chaos and prediction of computational performance for neural circuit models

  2007cited by this paper
• The tempotron: a neuron that learns spike timing–based decisions

  2006cited by this paper
• Convergence of stochastic learning in perceptrons with binary synapses.

  2005cited by this paper
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  2005cited by this paper
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  2005cited by this paper
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  2005cited by this paper
• Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks

  2004cited by this paper
• Biologically Plausible Speech Recognition with LSTM Neural Nets

  2004cited by this paper
• Synaptic integration of NMDA and non-NMDA receptors in large neuronal network models solved by means of differential equations

  2004cited by this paper
• Sphinx-4: a flexible open source framework for speech recognition

  2004cited by this paper
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  2004cited by this paper
• Computational models for generic cortical microcircuits

  2004cited by this paper
• CMOS VLSI Design: A Circuits and Systems Perspective

  2004cited by this paper
• BSA, a fast and accurate spike train encoding scheme

  2003cited by this paper
• The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series

  2002cited by this paper
• Short-term synaptic plasticity.

  2002cited by this paper
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

  2002cited by this paper
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  2002cited by this paper
• Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

  2001cited by this paper
• SpikeProp: backpropagation for networks of spiking neurons

  2000cited by this paper
• What is a moment? "Cortical" sensory integration over a brief interval.

  2000cited by this paper
• Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network.

  1998cited by this paper
• Spatial and temporal pattern analysis via spiking neurons.

  1998cited by this paper
• Networks of spiking neurons: the third generation of neural network models

  1997cited by this paper
• Networks of Spiking Neurons: The Third Generation of Neural Network Models

  1996cited by this paper
• The organization of behavior.

  1992cited by this paper
• Pitch and voiced/unvoiced determination with an auditory model.

  1992cited by this paper
• Speech Recognition by Machine

  1988cited by this paper
• Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex

  1982cited by this paper
• A computational model of filtering, detection, and compression in the cochlea

  1982cited by this paper
• Speech recognition by machine: A review

  1976cited by this paper
• Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition

  1965cited by this paper
• journal homepage: www.elsevier.com/locate/neucom

  year unknowncited by this paper
• What makes a dynamical system computationally powerful ?

  year unknowncited by this paper

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