Bayesian encoding and decoding as distinct perspectives on neural coding

RD Lange, S Shivkumar, A Chattoraj… - Nature neuroscience, 2023 - nature.com
The Bayesian brain hypothesis is one of the most influential ideas in neuroscience.
However, unstated differences in how Bayesian ideas are operationalized make it difficult to …

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain

H Yamakawa - Neural Networks, 2021 - Elsevier
The vastness of the design space that is created by the combination of numerous
computational mechanisms, including machine learning, is an obstacle to creating artificial …

Biologically inspired visual computing: the state of the art

W Hao, IM Andolina, W Wang, Z Zhang - Frontiers of Computer Science, 2021 - Springer
Visual information is highly advantageous for the evolutionary success of almost all animals.
This information is likewise critical for many computing tasks, and visual computing has …

Artificial intelligence as a way of overcoming visual disorders: damages related to visual cortex, optic nerves and eyes

N Shoeibi, F Karimi, JM Corchado - Distributed Computing and Artificial …, 2020 - Springer
Blindness is a disability in which the person got interference with the visual system. In this
paper, we studied 18 different diseases. Then categorize the different types of damages to …

Lateralized learning to solve complex problems

A Siddique - 2021 - openaccess.wgtn.ac.nz
Artificial intelligence systems have become proficient at linking environmental features to
targets to describe simple patterns in data. However, these systems can struggle with many …

A Model of Fast Concept Inference with Object-Factorized Cognitive Programs

DP Sawyer, M Lázaro-Gredilla, D George - arXiv preprint arXiv …, 2020 - arxiv.org
The ability of humans to quickly identify general concepts from a handful of images has
proven difficult to emulate with robots. Recently, a computer architecture was developed that …