Wieslaw A. Kaminski

Letters: Liquid state machine and its separation ability as function of electrical parameters of cell

Large artificial Hodgkin-Huxley neural networks are examined. The structures discussed in this article simulate a part of the cortex of the mammalian visual system. We use a modular architecture of the cortex divided into sub-regions. Results of parallel simulations based on the liquid computing theory are presented in some detail. Separation ability of groups of neural microcircuits is observed. We check if such property depends on electrical parameters of particular cells. Properties Liquid State Machines are derived from the types of neurons used for simulations. They are compared and discussed to some extent.

Which model to use for the Liquid State Machine

The properties of separation ability and computational efficiency of Liquid State Machines depend on the neural model employed and on the connection density in the liquid column. A simple model of part of mammalians visual system consisting of one hypercolumn was examined. Such a system was stimulated by two different input patterns, and the Euclidean distance, as well as the partial and global entropy of the liquid column responses were calculated. Interesting insights could be drawn regarding the properties of different neural models used in the liquid hypercolumn, and on the effect of connection density on the information representation capability of the system.

Neutrinoless double β decay within the self-consistent renormalized quasiparticle random phase approximation and inclusion of induced nucleon currents

The first calculation (to our knowledge) of neutrinoless double beta decay

New BCS and renormalized QRPA formalism with application to double beta decay

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Liquid state machine built of Hodgkin–Huxley neurons and pattern recognition

-decay) matrix elements within the self-consistent renormalized quasiparticle random phase approximation (SRQRPA) is presented. The contribution from the momentum-dependent induced nucleon currents to

Study of the double beta decay of 70⩽A⩽100 nuclei within the RQRPA and the self-consistent BCS + RQRPA formalisms

0\ensuremath{\nu}\ensuremath{\beta}\ensuremath{\beta}

Facial expression recognition based on Liquid State Machines built of alternative neuron models

-decay amplitude is taken into account. A detailed nuclear structure study includes the discussion of the sensitivity of the obtained SRQRPA results for

Self-organised criticality in a model of the rat somatosensory cortex

0\ensuremath{\nu}\ensuremath{\beta}\ensuremath{\beta}

Transition magnetic moments of Majorana neutrinos in supersymmetry without R-parity in light of neutrino oscillations

decay of

Majorana neutrino, the size of extra dimensions, and neutrinoless double beta decay

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