10 citations · 13 across the 6 of their papers we have counts for
6 papers
Noise and Neuronal Heterogeneity
Michael J. Barber, Manfred L. Ristig
We consider signal transaction in a simple neuronal model featuring intrinsic noise. The presence of noise limits the precision of neural responses and impacts the quality of neura…
Designing neural networks that process mean values of random variables
Michael J. Barber, John W. Clark
We introduce a class of neural networks derived from probabilistic models in the form of Bayesian networks. By imposing additional assumptions about the nature of the probabilistic…
Multiple Thresholds in a Model System of Noisy Ion Channels
Michael J. Barber, Manfred L. Ristig
Voltage-activated ion channels vary randomly between open and closed states, influenced by the membrane potential and other factors. Signal transduction is enhanced by noise in a s…
Neural Networks Processing Mean Values of Random Variables
M. J. Barber, J. W. Clark, C. H. Anderson
We introduce a class of neural networks derived from probabilistic models in the form of Bayesian belief networks. By imposing additional assumptions about the nature of the probab…
Neural Representation of Probabilistic Information
M. J. Barber, J. W. Clark, C. H. Anderson
It has been proposed that populations of neurons process information in terms of probability density functions (PDFs) of analog variables. Such analog variables range, for example,…
Neural Propagation of Beliefs
M. J. Barber, J. W. Clark, C. H. Anderson
We continue to explore the hypothesis that neuronal populations represent and process analog variables in terms of probability density functions (PDFs). A neural assembly encoding…