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Chang N. Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Logic operations based on Single Neuron rational model
    IEEE transactions on neural networks, 2000
    Co-Authors: Chang N. Zhang, Ming Zhao, Meng Wang
    Abstract:

    This paper focuses on phase analysis to explore the Single Neuron local arithmetic and logic operations on their input conductances. Based on the analysis of the rational function model of local spatial summation with the equivalent circuits for steady-state membrane potentials, the prototypes spatial summation with the equivalent circuits for steady-state membrane potentials, the prototypes of logic operations are constructed. A mapping from a partition of input conductance space into functionally distinct phases is described and the multiple mode models for logic operations are established. The transitions from output voltage to input conductance in logic operations are also discussed for the connections between Neurons in different layers. Our theoretical studies and software simulations indicate that the Single Neuron local rational logic is programmable and the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability makes the Single Neuron more flexible in processing the input information.

  • Single Neuron Rational Model of Arithmetic and Logic Operations
    Connection Science, 1999
    Co-Authors: Chang N. Zhang
    Abstract:

    This paper will focus on a phase analysis to explore the potential of Single Neuron local arithmetic and logic operations on their input conductances. The analysis is based on a rational function model of local spatial summation with the equivalent circuits for steady-state membrane potentials. The prototypes of arithmetic and logic operations are then constructed with their input and output range by analyzing the conditions for performing these operations. A mapping from a partition of input conductance space into functionally distinct phases is depicted, and the multiple mode models for arithmetic and logic are then established. This indicates that the Single Neuron local rational arithmetic and logic is programmable, and the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability makes the Single Neuron more free to process the input information.

  • Single Neuron local rational arithmetic revealed in phase space of input conductances
    Biophysical journal, 1996
    Co-Authors: Meng Wang, Chang N. Zhang
    Abstract:

    We present a phase space analysis to explore the potential of Single Neuron local arithmetic operations on its input conductances. This analysis was conducted first by deriving a rational function model of local spatial summation by using the equivalent circuits for steady-state membrane potentials. It is shown that developed functional phases exist in the space of input conductances, where a Single Neuron's local operation on input conductances can be described in terms of a set of well-defined arithmetic functions. It is further suggested that this Single Neuron local rational arithmetic is programmable, in the sense that the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability adds the degree of freedom in a Single Neuron's ability to process the input information.

Meng Wang - One of the best experts on this subject based on the ideXlab platform.

  • Logic operations based on Single Neuron rational model
    IEEE transactions on neural networks, 2000
    Co-Authors: Chang N. Zhang, Ming Zhao, Meng Wang
    Abstract:

    This paper focuses on phase analysis to explore the Single Neuron local arithmetic and logic operations on their input conductances. Based on the analysis of the rational function model of local spatial summation with the equivalent circuits for steady-state membrane potentials, the prototypes spatial summation with the equivalent circuits for steady-state membrane potentials, the prototypes of logic operations are constructed. A mapping from a partition of input conductance space into functionally distinct phases is described and the multiple mode models for logic operations are established. The transitions from output voltage to input conductance in logic operations are also discussed for the connections between Neurons in different layers. Our theoretical studies and software simulations indicate that the Single Neuron local rational logic is programmable and the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability makes the Single Neuron more flexible in processing the input information.

  • Single Neuron local rational arithmetic revealed in phase space of input conductances
    Biophysical journal, 1996
    Co-Authors: Meng Wang, Chang N. Zhang
    Abstract:

    We present a phase space analysis to explore the potential of Single Neuron local arithmetic operations on its input conductances. This analysis was conducted first by deriving a rational function model of local spatial summation by using the equivalent circuits for steady-state membrane potentials. It is shown that developed functional phases exist in the space of input conductances, where a Single Neuron's local operation on input conductances can be described in terms of a set of well-defined arithmetic functions. It is further suggested that this Single Neuron local rational arithmetic is programmable, in the sense that the selection of these functional phases can be effectively instructed by presynaptic activities. This programmability adds the degree of freedom in a Single Neuron's ability to process the input information.

Wang Wei-hong - One of the best experts on this subject based on the ideXlab platform.

Cao Cai-kai - One of the best experts on this subject based on the ideXlab platform.

  • Drive System based on Single Neuron PID Controller
    IEEE Transactions on Power Electronics, 2005
    Co-Authors: Cao Cai-kai
    Abstract:

    In order to improve the performance of the PMSM drive system with traditional PID controller, the Single Neuron PID controller was used to control the system.Combined with the objection and control demand,a lot of the simulation and experiments were done.The simulation analysis and experiments show that the drive system of Single Neuron PID controller has the better start-up performance,dynamic performance and strong robustness,and the practice application is available because of the simple design and the easily adjustable parameters.

John K Chapin - One of the best experts on this subject based on the ideXlab platform.

  • ceramic based multisite electrode arrays for chronic Single Neuron recording
    IEEE Transactions on Biomedical Engineering, 2004
    Co-Authors: Karen A Moxon, Steven C Leiser, Greg A Gerhardt, Kenneth A Barbee, John K Chapin
    Abstract:

    A method is described for the manufacture of a microelectrode array for chronic, multichannel, Single Neuron recording. The ceramic-based, multisite electrode array has four recording sites patterned onto a ceramic shaft the size of a Single typical microwire electrode. The sites and connecting wires are applied to the ceramic substrate using a reverse photolithographic procedure. Recording sites (22/spl times/80 /spl mu/m) are separated by 200 /spl mu/m along the shaft. A layer of alumina insulation is applied over the whole array (exclusive of recording sites) by ion-beam assisted deposition. These arrays were capable of recording Single Neuron activity from each of their recording sites for at least three weeks during chronic implantation in the somatosensory cortex of rats, and several sites had recordings that lasted for more than 8 weeks. The vertical arrangement of the recording sites on these electrodes is ideal for simultaneously recording across the different layers of brain areas such as the cerebral cortex and hippocampus in chronic preparations.