WorldWideScience

Sample records for chronotrons

  1. The chronotron: a neuron that learns to fire temporally precise spike patterns.

    Directory of Open Access Journals (Sweden)

    Răzvan V Florian

    Full Text Available In many cases, neurons process information carried by the precise timings of spikes. Here we show how neurons can learn to generate specific temporally precise output spikes in response to input patterns of spikes having precise timings, thus processing and memorizing information that is entirely temporally coded, both as input and as output. We introduce two new supervised learning rules for spiking neurons with temporal coding of information (chronotrons, one that provides high memory capacity (E-learning, and one that has a higher biological plausibility (I-learning. With I-learning, the neuron learns to fire the target spike trains through synaptic changes that are proportional to the synaptic currents at the timings of real and target output spikes. We study these learning rules in computer simulations where we train integrate-and-fire neurons. Both learning rules allow neurons to fire at the desired timings, with sub-millisecond precision. We show how chronotrons can learn to classify their inputs, by firing identical, temporally precise spike trains for different inputs belonging to the same class. When the input is noisy, the classification also leads to noise reduction. We compute lower bounds for the memory capacity of chronotrons and explore the influence of various parameters on chronotrons' performance. The chronotrons can model neurons that encode information in the time of the first spike relative to the onset of salient stimuli or neurons in oscillatory networks that encode information in the phases of spikes relative to the background oscillation. Our results show that firing one spike per cycle optimizes memory capacity in neurons encoding information in the phase of firing relative to a background rhythm.

  2. The Chronotron: A Neuron That Learns to Fire Temporally Precise Spike Patterns

    OpenAIRE

    Florian, Răzvan V.

    2012-01-01

    In many cases, neurons process information carried by the precise timings of spikes. Here we show how neurons can learn to generate specific temporally precise output spikes in response to input patterns of spikes having precise timings, thus processing and memorizing information that is entirely temporally coded, both as input and as output. We introduce two new supervised learning rules for spiking neurons with temporal coding of information (chronotrons), one that provides high memory capa...

  3. Search of primary cosmic rays sources at 5x10**13 - 5x10**14 eV with Tien Shan CHRONOTRON - KLARA array

    CERN Document Server

    Gudkova, E N

    2015-01-01

    The primary cosmic ray sources are searched by means of CHRONOTRON - KLARA separate array of the P.N. Lebedev Physical Institute Tien Shan station. It was done on the base of 35 millions observed PCR extensive air showers from 5x10**13 to 5x10**14 eV energies. The data analysis was carried on the method of the direct selection of local areas in equatorial coordinates where the deviation of event numbers exceeded the definite value from normal Gaussian standard. These directions are compared with other arrays observed results and with coordinates of astrophysical sources.