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Titlebook: Biologically Inspired Approaches to Advanced Information Technology; First International Auke Jan Ijspeert,Masayuki Murata,Naoki Wakamiya

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楼主: 喝水
发表于 2025-3-23 10:14:30 | 显示全部楼层
Biologically Inspired Computer Virus Detection Systemsearchers proposed various detection methods including artificial immune system to cope with these characteristics of computer viruses and worms. This paper discusses the principle of artificial immune system and proposes artificial immune based virus detection system that can detect unknown viruses.
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Explaining Low-Level Brightness-Contrast Illusions Using Disinhibitione processed through recurrent disinhibition. Such a context sensitive structure might be employed to improve network robustness of visual capturing or displaying systems. Another potential application of this algorithm could be automatic detection and correction of perceived incoherences where accurate perception of intensity level is critical.
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Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Actionow that action sequence resulting from reinforcement learning of this criterion accurately portrays the property of the input that triggered a certain sensory state. This way, the meaning of a sensory state can be firmly grounded on the choreographed action which maintains invariance in the internal state.
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William James’s Psychology of Knowingshow a clear match with theoretical prediction and neurophysiological data in a given range of the parameter space. This analysis defines the chip’s parameter working range and predicts its behavior in case of integration into large massively parallel very–large–scale–integration (VLSI) networks.
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https://doi.org/10.1007/978-3-031-07365-6ive a dynamic model involving events, collaboration, synchronization and sequencing. We thus show that OOD can be used in fields very much beyond software design, gives the benefit of unified and sharable descriptions and, as a side effect, automatic generation of code templates for simulation software.
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One and Many in Plato’s Metaphysicsise was added to the input signal at 15% of the amplitude of the signal. Preliminary results indicate that self prediction may improve performance of an ESN when performing signal mappings in the presence of additive noise.
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Testimony, Justification and Coherence,implementation cost in field programmable gate arrays (FPGAs). Adaptation of synaptic weights is implemented with hebbian learning. As an example application we present a frequency discriminator to verify the computing capabilities of a generic network of our neuron model.
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