Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Publisher
Years
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 11 (1972), S. 154-165 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract Networks of mutually inhibiting neurons are analyzed and simulated on a digital computer. In the analysis and simulation a continuous-variable model of the neuron is used as the basic element. It consists of a many-input adder, a first-order low-pass filter and a diode-type nonlinearity. A mutually inhibiting network is formed by connecting the output of every element to inputs of the other elements through weight-coefficient setting units. Each element of the network is assumed to receive a certain number of constant inputs from elements of other networks. An autonomous system of nonlinear differential equations is introduced to describe the network dynamics, and the steady-state solutions of the system are investigated in detail. The network has a unique equilibrium solution, multiple equilibrium solutions or a periodic solution depending on the weight-coefficients and the inputs. It is shown that these three cases correspond to three types of information processing functions: the sharpening of input patterns, the temporary storage of information and the generation of periodic signals.
    Type of Medium: Electronic Resource
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...