AIMC Topic: Biological Evolution
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A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.
IEEE transactions on neural networks and learning systems
Nov 30, 2020
From the medical field to agriculture, from energy to transportation, every industry is going through a revolution by embracing artificial intelligence (AI); nevertheless, AI is still in its infancy. Inspired by the evolution of the human brain, this...
Spider webs inspiring soft robotics.
Journal of the Royal Society, Interface
Nov 11, 2020
In soft robotics, bio-inspiration ranges from hard- to software. Orb web spiders provide excellent examples for both. Adapted sensors on their legs may use morphological computing to fine-tune feedback loops that supervise the handling and accurate p...
A Systematic Literature Review of the Successors of "NeuroEvolution of Augmenting Topologies".
Evolutionary computation
Nov 5, 2020
NeuroEvolution (NE) refers to a family of methods for optimizing Artificial Neural Networks (ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting Topologies (NEAT) is considered one of the most influential algorithms in ...
Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection.
Computers in biology and medicine
Sep 18, 2020
Class imbalance and the presence of irrelevant or redundant features in training data can pose serious challenges to the development of a classification framework. This paper proposes a framework for developing a Clinical Decision Support System (CDS...
Benefits of insect colours: a review from social insect studies.
Oecologia
Sep 2, 2020
Insect colours assist in body protection, signalling, and physiological adaptations. Colours also convey multiple channels of information. These channels are valuable for species identification, distinguishing individual quality, and revealing ecolog...
Birds have peramorphic skulls, too: anatomical network analyses reveal oppositional heterochronies in avian skull evolution.
Communications biology
Apr 24, 2020
In contrast to the vast majority of reptiles, the skulls of adult crown birds are characterized by a high degree of integration due to bone fusion, e.g., an ontogenetic event generating a net reduction in the number of bones. To understand this proce...
Brain MRI analysis using a deep learning based evolutionary approach.
Neural networks : the official journal of the International Neural Network Society
Mar 28, 2020
Convolutional neural network (CNN) models have recently demonstrated impressive performance in medical image analysis. However, there is no clear understanding of why they perform so well, or what they have learned. In this paper, a three-dimensional...
Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics.
Developmental science
Feb 18, 2020
Both humans and non-human animals exhibit sensitivity to the approximate number of items in a visual array, as indexed by their performance in numerosity discrimination tasks, and even neonates can detect changes in numerosity. These findings are oft...
DNA is not an ontologically distinctive developmental cause.
Studies in history and philosophy of biological and biomedical sciences
Dec 30, 2019
In this article I critically evaluate the thesis that DNA is an ontologically distinctive developmental cause. I shall critically analyse different versions of the latter thesis by taking into consideration concrete developmental cases. I shall argue...
Phase transitions of brain evolution that produced human language and beyond.
Neuroscience research
Nov 27, 2019
The brain capacity of human ancestors underwent two phase transitions, which were supported by preadaptations during the animal protolanguage period, resulting in the emergence of human language. The transitions were (1) the emergence of the primate ...
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