Person:
Panetsos Petrova, Fivos

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First Name
Fivos
Last Name
Panetsos Petrova
URI
https://hdl.handle.net/20.500.14352/79874
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Óptica y Optometría
Department
Biodiversidad, Ecología y Evolución
Area
Matemática Aplicada
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2003 - 20063
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Author: Makarov Slizneva, Valeriy × Subject: 612.8 ×

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Now showing 1 - 3 of 3
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    Neural activity in the lower pathway of the somatosensory system in the presence of silicon interfaces
    (First International IEEE EMBS Conference on Neural Engineering, 2003., 2003) Makarov Slizneva, Valeriy; Panetsos Petrova, Fivos; Bonacasa, V.; Wolf, LJ; Strock, JL
    In this communication, we present results of experimental work carried out in the frame of the ROSANA project aiming at the investigation of the interactions between sensory inputs and the activity of Central Nervous System (CNS) neurons in the creation of the internal representations of real-world stimuli. We implanted sieve microelectrodes in the peripheral nerve of rats and we obtained functional regeneration of the sensory nerves. We recorded the electrical activity of the regenerated nerve fibers and also of the relay neurons of the first station of the somatosensory pathway. Finally we developed mathematical models of the oscillatory neurons involved in the information processing that fit well with our experimental data.
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    Artificial stimulation of the peripheral nerves to generate natural-like activity in the central nervous system
    (Engineering in Medicine and Biology Society, 2004) Bonacasa, V.; Cepeda, I. R.; Makarov Slizneva, Valeriy; Panetsos Petrova, Fivos
    In the present work we study how sensory inputs conveyed by nerve fibers in the form of spatiotemporal patterns generate different responses in the central nervous system (CNS) depending on the physical characteristics of the stimulus applied and then we reproduce similar responses by means of electrical stimulation of the nervous fibers
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    Wavelet-analysis in application to studying spike separation and information encoding in neuron dynamics
    (Complex Dynamics and Fluctuations in Biomedical Photonics III, 2006) Makarov Slizneva, Valeriy; Pavlov, Alexey N.; Dumsky, Dmitry V.; Tupitsyn, Anatoly N.; Pavlova, Olga N.; Panetsos Petrova, Fivos; Tuchin, W.
    We study how the noise statistics influences the performance of separation of extracellularly recorded spikes by principal component analysis and wavelet-based technique. We show that the two approaches have different robustness against the frequency band of the experimental noise and an appropriate filtering of the spike waveforms can significantly improve the results of separation. For the wavelet technique we suggest filter parameters optimizing spike separation. Finally we discuss a hypothesis that information encoding in neural dynamics may sometimes be considered in terms of frequency modulation.