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Computing Information in Neuronal Spikes
Neural Processing Letters, 2006This paper provides new insights regarding the transfer of information between input signal and the output of neurons. Simulations of the Hodgkin-Huxley (HH) model combined with computational techniques are used to estimate this transfer of information.
Dorian Aur +2 more
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Spiking neurons that keep the rhythm
Journal of Computational Neuroscience, 2010Detecting the temporal relationship among events in the environment is a fundamental goal of the brain. Following pulses of rhythmic stimuli, neurons of the retina and cortex produce activity that closely approximates the timing of an omitted pulse. This omitted stimulus response (OSR) is generally interpreted as a transient response to rhythmic input ...
Jean-Philippe Thivierge, Paul Cisek
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2002
Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the
Wulfram Gerstner, Werner M. Kistler
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Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the
Wulfram Gerstner, Werner M. Kistler
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The transfer function of neuron spike
Neural Networks, 2015The mathematical modeling of neuronal signals is a relevant problem in neuroscience. The complexity of the neuron behavior, however, makes this problem a particularly difficult task. Here, we propose a discrete-time linear time-invariant (LTI) model with a rational function in order to represent the neuronal spike detected by an electrode located in ...
Igor Palmieri +2 more
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Image Segmentation by Networks of Spiking Neurons
Neural Computation, 2005A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to image segmentation. Lateral excitatory connections between neighboring image sites yield a local
Buhmann JM, Lange T, Ramacher U
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Spiking Neurons Computing Platform
2005A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is adopted that uses both software and hardware components. We focus on conductance-based models for neurons that emulate the temporal dynamics of the synaptic integration process.
Eduardo Ros 0001 +5 more
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Simple model of spiking neurons
IEEE Transactions on Neural Networks, 2003A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons.
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Capacity of a Single Spiking Neuron Channel
Neural Computation, 2009Information transfer through a single neuron is a fundamental component of information processing in the brain, and computing the information channel capacity is important to understand this information processing. The problem is difficult since the capacity depends on coding, characteristics of the communication channel, and optimization over input ...
Shiro Ikeda, Jonathan H. Manton
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Spiking Neuron Computation With the Time Machine
IEEE Transactions on Biomedical Circuits and Systems, 2012The Time Machine (TM) is a spike-based computation architecture that represents synaptic weights in time. This choice of weight representation allows the use of virtual synapses, providing an excellent tradeoff in terms of flexibility, arbitrary weight connections and hardware usage compared to dedicated synapse architectures.
Vaibhav Garg +2 more
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Spike alignment in bursting neurons
Neurocomputing, 2007Recently, the presence of very precise intra-burst firing patterns, which have been named neural signatures, has been reported in bursting neurons of the pyloric network of the lobster stomatogastric nervous system [A. Szucs, R.D. Pinto, M.I. Rabinovich, H.D.I. Abarbanel, A.I.
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