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A Universal Model for Spike-Frequency Adaptation
  • Jan Benda, A. Herz
  • Medicine, Computer Science
  • Neural Computation
  • 1 November 2003
TLDR
We derive a universal model for the firing-frequency dynamics of an adapting neuron that is independent of the specific adaptation process and spike generator. Expand
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Dynamics of rat entorhinal cortex layer II and III cells: characteristics of membrane potential resonance at rest predict oscillation properties near threshold
Neurones generate intrinsic subthreshold membrane potential oscillations (MPOs) under various physiological and behavioural conditions. These oscillations influence neural responses and codingExpand
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Modeling Single-Neuron Dynamics and Computations: A Balance of Detail and Abstraction
TLDR
The fundamental building block of every nervous system is the single neuron. Expand
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  • 13
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Optimal Population Codes for Space: Grid Cells Outperform Place Cells
TLDR
We study how to best construct place and grid codes, taking the probabilistic nature of neural spiking into account. Expand
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  • 13
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Subthreshold resonance explains the frequency-dependent integration of periodic as well as random stimuli in the entorhinal cortex.
Neurons integrate subthreshold inputs in a frequency-dependent manner. For sinusoidal stimuli, response amplitudes thus vary with stimulus frequency. Neurons in entorhinal cortex show two types ofExpand
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Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification
TLDR
We analyze the detailed temporal evolution of glomerular activity patterns in the antennal lobe of honeybees. Expand
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Bayesian Methods for Adaptive Models
TLDR
The Bayesian framework for model comparison and regularisation is demonstrated by studying interpolation and classification problems modelled with both linear and non–linear models. Expand
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Spike-timing precision underlies the coding efficiency of auditory receptor neurons.
Sensory systems must translate incoming signals quickly and reliably so that an animal can act successfully in its environment. Even at the level of receptor neurons, however, functional aspects ofExpand
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Representation of Acoustic Communication Signals by Insect Auditory Receptor Neurons
Despite their simple auditory systems, some insect species recognize certain temporal aspects of acoustic stimuli with an acuity equal to that of vertebrates; however, the underlying neuralExpand
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Subthreshold membrane-potential resonances shape spike-train patterns in the entorhinal cortex.
Many neurons exhibit subthreshold membrane-potential resonances, such that the largest voltage responses occur at preferred stimulation frequencies. Because subthreshold resonances are known toExpand
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