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The Nitabach lab is focused broadly on the use of genetic, physiological, and behavioral approaches to understanding the information processing principles by which neural circuits control animal behavior.
Computer scientists and engineers aim to harness this efficiency and build artificial neural systems that can emulate the key information processing principles of the brain.
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM).
From these sensor data, different scenarios had to be perceived following the information processing principles proposed in Section 4.1.
In further development steps, it was then aimed to substitute these rules by approaches that are closer to the neurophysiological and neuropsychological information processing principles of the brain.
The information processing principles of the human mind have turned out to be of particular interest as the mind is capable of processing huge amounts of sensory data and taking adequate decisions for (re- actions based on these analysed data.
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The result of this research effort was the elaboration of the so-called neurosymbolic information processing principle [3].
Similar to the recognition module of the model depicted in Figure 1, the neuro-symbolic information representation and information processing principle can also be applied to the action execution unit for the representation of procedural memory.
Models of heuristics characterize choices as rooted in simple information-processing principles such as lexicographic and limited search.
We propose six Information-Processing Principles (IPPs) that together describe a constructive, hierarchical system by which infants come to understand objects and events in the world around them.
Interestingly, however, both the present behaviours and type of stimuli are sufficiently well-defined to allow precise formal manipulation and modelling, and may therefore serve as a micro-world system for exploring general information-processing principles in ecologic, dynamical interaction.
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