Markov Brains are a class of evolvable artificial neural networks (ANN). They differ from
conventional ANNs in many aspects, but the key difference is that instead of a layered …

Deep learning of artificial neural networks (ANNs) is creating highly functional processes
that are, unfortunately, nearly as hard to interpret as their biological counterparts …

Genetic Algorithms (GA) are a powerful set of tools for search and optimization that mimic
the process of natural selection, and have been used successfully in a wide variety of …

Objective Bipolar disorder is a severe mood disorder characterized by alternating episodes
of mania and depression. Several interventions have been developed to decrease high …

There are two common approaches for optimizing the performance of a machine: genetic
algorithms and machine learning. A genetic algorithm is applied over many generations …

Theories of decision-making often posit optimal or heuristic strategies for performing a task.
In optimal strategies, information is integrated over time in order to achieve the ideal …

Information integration theory has been developed to quantify consciousness. Since
conscious thought requires the integration of information, the degree of this integration can …

Predicting protein structure from sequence remains a major open problem in protein
biochemistry. One component of predicting complete structures is the prediction of inter …

Flies that walk in a covered planar arena on straight paths avoid colliding with each other,
but which of the two flies stops is not random. High-throughput video observations, coupled …

Pattern recognition and classification is a central concern for modern information processing
systems. In particular, one key challenge to image and video classification has been that the …