Influence of noise on the function of a “physiological” neural network

A model neural network with stochastic elements in its millisecond dynamics is investigated. The network consists of neuronal units which are modelled in close analogy to physiological neurons. Dynamical variables of the network are the cellular potentials, axonic currents and synaptic efficacies. The dynamics of the synapses obeys a modified Hebbian rule and, as proposed by v. d. Malsburg (1981, 1985), develop on a time scale of a tenth of a second. In a previous publication (Buhmann and Schulten 1986) we have confirmed that the resulting noiseless autoassociative network is capable of the well-known computational tasks of formal associative networks (Cooper 1973; Kohonen et al. 1984, 1981; Hopfield 1982). In the present paper we demonstrate that random fluctuations of the membrane potential improve the performance of the network. In comparison to a deterministic network a noisy neural network can learn at lower input frequencies and with lower average neural firing rates. The electrical activity of a noisy network is very reminiscent of that observed by physiological recordings. We demonstrate furthermore that associative storage reduces the effective dimension of the phase space in which the electrical activity of the network develops.     

Could White Coat Ocular Hypertension Affect to the Accuracy of the Diagnosis of Glaucoma? Relationships Between Anxiety and Intraocular Pressure in a Simulated Clinical Setting

Sixty-one healthy subjects participated in a laboratory study carried out in a simulated clinical setting. Anticipatory anxiety-state was assessed at the arrival and immediately after, with no brief phase of adaptation, measurements of intraocular pressure, heart rate, systolic and diastolic blood pressure were collected. At the end of the procedure, anxiety-trait was also assessed. Results suggest that high levels of both anxiety-state and anxiety-trait significantly predicted a clinically relevant increase of intraocular pressure. Anxiety-state mediated the relationship between anxiety-trait and intraocular pressure, which also was found to be related with heart rate but not related to both systolic and diastolic blood pressure. These results suggest a common mechanism of regulation underlying anxiogenic variability found on both intraocular pressure and heart rate. A reduction in parasympathetic activity appears as a possible mechanism underlying to this phenomenon. This anxiety-enhanced intraocular pressure could be considered a phenomenon analogous to white coat hypertension found in the measurement of blood pressure; therefore, it probably should be taken into account in the clinical context to prevent errors in the diagnosis of glaucoma. Further research on cognitive and emotional regulation of intraocular pressure is needed to best characterize this hypothetical phenomenon.