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1

Computer application in bio-process engineering in Japan

100%
Yoshida T.
Biotechnologia
|
1999
|
issue 4
107-116
EN
Recent development of research conducted in Japan into computer applications in bio-process engineering is summarized, specially focusing on the application of knowledge engineering approaches to bio-process control. The issues of methodological investigation, their applications in process development, and examples of industrial applications of expert systems, artificial neural networks, fuzzy theory, and genetic algorithm are thoroughly reviewed, and some representative recent works are introduced more extensively.
2
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Rate coding: neurobiological network performing detection of the difference between mean spiking rates

88%
Pavlasek J., Jenca J., Harman R.
Acta Neurobiologiae Experimentalis
|
2003
|
vol. 63
|
issue 2
83-98
EN
We propose a network of model neurones that 'reads' the information encoded as a mean spiking rate by mechanisms relevant to the organism. The streams of independent irregular spiking activity with a Poisson distribution enters the network in parallel via two inputs. The network integrated both synaptic inputs and at the same time acts as a counter allowing their continuous comparison. Detection of the mean spiking rate difference is signalled by spikes emitted at the output. The exactness of the mean-rate discrimination was quantified by the probability of theoretically best comparison.
3
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Novelty based feedback regulation in artificial neural networks

88%
Rychwalska A., Jablonski P., Zochowski M., Nowak A.
Acta Neurobiologiae Experimentalis
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2005
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vol. 65
|
issue 3
453-463
EN
In this paper we present a theoretical framework for novelty based feedback regulation in artificial neural networks. Novelty is assessed on the basis of monitoring the coherence of network dynamics. The result of novelty detection is dynamically coupled to parameters that control the dynamics of the recognition process. The paper presents a new measure of novelty detection - the strength of the local field - and presents new simulation results concerning novelty detection. It also integrates previously published models and simulation results into a general dynamical model of feedback regulation.
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