Spontaneous and odour evoked activity in single avian olfactory bulb neurones

McKeegan, Dorothy

doi:10.1016/s0006-8993(01)03376-5

Cited by 51 publications

(29 citation statements)

References 27 publications

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“…It is assumed, that the neuronal response R is the interval between two consequent action potentials. In agreement with some experimental observations [40][41][42][43], the response for each input follows the gamma distribution,…”

Section: Temporal Neuronal Codingsupporting

confidence: 89%

Information capacity in the weak-signal approximation

Kostal

2010

Phys. Rev. E

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We derive an approximate expression for mutual information in a broad class of discrete-time stationary channels with continuous input, under the constraint of vanishing input amplitude or power. The approximation describes the input by its covariance matrix, while the channel properties are described by the Fisher information matrix. This separation of input and channel properties allows us to analyze the optimality conditions in a convenient way. We show that input correlations in memoryless channels do not affect channel capacity since their effect decreases fast with vanishing input amplitude or power. On the other hand, for channels with memory, properly matching the input covariances to the dependence structure of the noise may lead to almost noiseless information transfer, even for intermediate values of the noise correlations. Since many model systems described in mathematical neuroscience and biophysics operate in the high noise regime and weak-signal conditions, we believe, that the described results are of potential interest also to researchers in these areas.

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Section: Temporal Neuronal Codingsupporting

confidence: 89%

Information capacity in the weak-signal approximation

Kostal

2010

Phys. Rev. E

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“…The firing times for neurons is often described by a Poisson process, however there are many counter examples of non-Poisson neuron firing patterns [20,5]. A Poisson process description cannot capture the cell behaviors seen in the STN such as bursting, uniform and periodic firing [30].…”

Section: Filtered Point Process Modelsmentioning

confidence: 99%

A Parametric Simulation of Neuronal Noise From Microelectrode Recordings

Weegink

Bellette

Varghese

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract. In this paper we present an efficient model of the neuronal potentials recorded by a deep brain stimulation microelectrode (DBS MER) in the subthalamic nucleus. It is shown that a computationally efficient filtered point process consisting of 10,000 neurons, including extracellular filtering closely matches recordings from 14 Parkinson's disease patients. The recordings were compared using their voltage amplitude distributions, power spectral density estimates and phase synchrony. It was found that interspike interval times modeled using a Weibull distribution with a shape parameter of 0.8, slightly non-Poisosnian, gave the best fit of the simulations to patient recordings. These results indicate that part of the 'background activity' present in an DBS MER can be considered to be a very local field potential due to the surrounding neuronal activity.Therefore, the statistics of the interspike interval times modify the structure of the background activity.

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“…Gamma distribution is one of the most frequent statistical descriptors of ISIs (Hentall 2000;Levine 1991;McKeegan 2002;Mandl 1992). Its probability density function is…”

Section: Gamma Distributionmentioning

confidence: 99%

Similarity of interspike interval distributions and information gain in a stationary neuronal firing

Kostal

Lánský

2005

Biol Cybern

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The Kullback-Leibler (KL) information distance is proposed for judging similarity between two different interspike interval (ISI) distributions. The method is applied by a comparison of four common ISI descriptors with an exponential model which is characterized by the highest entropy. Under the condition of equal mean ISI values, the KL distance corresponds to information gain coming from the state described by the exponential distribution to the state described by the chosen ISI model. It has been shown that information can be transmitted changing neither the spike rate nor coefficient of variation (CV). Furthermore the KL distance offer an indication of the exponentiality of the chosen ISI descriptor (or data): the distance is zero if, and only if, the ISIs are distributed exponentially. Finally an application on experimental data coming from the olfactory sensory neurons of rats is shown.

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Spontaneous and odour evoked activity in single avian olfactory bulb neurones

Cited by 51 publications

References 27 publications

Information capacity in the weak-signal approximation

Information capacity in the weak-signal approximation

A Parametric Simulation of Neuronal Noise From Microelectrode Recordings

Similarity of interspike interval distributions and information gain in a stationary neuronal firing

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