List of animals used as intermediates between roundworm and fruit fly with estimated number of neurons.

List of animals used as intermediates between roundworm and fruit fly with estimated number of neurons.</p

Knowledge networks comparison summary.

Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowledge-based systems, present examples of human-generated knowledge processing systems, such as artificial neural networks and research topic knowledge networks, and explore change of system patterns over time. The work analyzes nature-based systems, which are animal connectomes, and observes neuron circuitry of knowledge processing based on complexity of the knowledge processing system. The variety of domains and similarity in processing mechanisms raise the question: if it is common in natural and artificial systems to see this pattern-based knowledge processing, how unique is knowledge processing in humans.</div

Graph learning characteristics as the artificial neural network learns as shown by the average properties of neural networks.

Graph learning characteristics as the artificial neural network learns as shown by the average properties of neural networks.</p

Projected graph properties for different animals, with the number of neurons as the X-axis.

Projected graph properties for different animals, with the number of neurons as the X-axis.</p

Graph generated characteristics for multiple algorithms.

Graph generated characteristics for multiple algorithms.</p

Research activity (“invisible brain”) graph learning characteristics.

Research activity (“invisible brain”) graph learning characteristics.</p

Worm and fruit fly versus generated graph.

Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing patterns in biological systems and human-made knowledge-based systems, present examples of human-generated knowledge processing systems, such as artificial neural networks and research topic knowledge networks, and explore change of system patterns over time. The work analyzes nature-based systems, which are animal connectomes, and observes neuron circuitry of knowledge processing based on complexity of the knowledge processing system. The variety of domains and similarity in processing mechanisms raise the question: if it is common in natural and artificial systems to see this pattern-based knowledge processing, how unique is knowledge processing in humans.</div

Extracting Florescence from Research Articles and Neurons.

<p>Extracting Florescence from Research Articles and Neurons.</p

(a) Earth Moving Distance in the Domains of Medicine and Physics (b) Earth Moving Distance in Different Data Sets.

<p>(a) Earth Moving Distance in the Domains of Medicine and Physics (b) Earth Moving Distance in Different Data Sets.</p

Activity of Different Topics on a Similar Timeline.

<p>Activity of Different Topics on a Similar Timeline.</p