Literature DB >> 28728020

Neuroscience-Inspired Artificial Intelligence.

Demis Hassabis1, Dharshan Kumaran2, Christopher Summerfield3, Matthew Botvinick4.   

Abstract

The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals. We conclude by highlighting shared themes that may be key for advancing future research in both fields.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  artificial intelligence; brain; cognition; learning; neural network

Mesh:

Year:  2017        PMID: 28728020     DOI: 10.1016/j.neuron.2017.06.011

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  124 in total

Review 1.  Artificial intelligence for precision education in radiology.

Authors:  Michael Tran Duong; Andreas M Rauschecker; Jeffrey D Rudie; Po-Hao Chen; Tessa S Cook; R Nick Bryan; Suyash Mohan
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

Review 2.  Mental labour.

Authors:  Wouter Kool; Matthew Botvinick
Journal:  Nat Hum Behav       Date:  2018-09-03

Review 3.  Spine dynamics in the brain, mental disorders and artificial neural networks.

Authors:  Haruo Kasai; Noam E Ziv; Hitoshi Okazaki; Sho Yagishita; Taro Toyoizumi
Journal:  Nat Rev Neurosci       Date:  2021-05-28       Impact factor: 34.870

Review 4.  Clinical applications of continual learning machine learning.

Authors:  Cecilia S Lee; Aaron Y Lee
Journal:  Lancet Digit Health       Date:  2020-06

5.  Can the Brain Do Backpropagation? -Exact Implementation of Backpropagation in Predictive Coding Networks.

Authors:  Yuhang Song; Thomas Lukasiewicz; Zhenghua Xu; Rafal Bogacz
Journal:  Adv Neural Inf Process Syst       Date:  2020

6.  Deep(er) Learning.

Authors:  Shyam Srinivasan; Ralph J Greenspan; Charles F Stevens; Dhruv Grover
Journal:  J Neurosci       Date:  2018-07-13       Impact factor: 6.167

7.  Towards Algorithmic Analytics for Large-scale Datasets.

Authors:  Danilo Bzdok; Thomas E Nichols; Stephen M Smith
Journal:  Nat Mach Intell       Date:  2019-07-09

8.  Sensory processing and categorization in cortical and deep neural networks.

Authors:  Dimitris A Pinotsis; Markus Siegel; Earl K Miller
Journal:  Neuroimage       Date:  2019-08-21       Impact factor: 6.556

Review 9.  Reevaluating the Role of Persistent Neural Activity in Short-Term Memory.

Authors:  Nicolas Y Masse; Matthew C Rosen; David J Freedman
Journal:  Trends Cogn Sci       Date:  2020-01-29       Impact factor: 20.229

10.  Convergent Temperature Representations in Artificial and Biological Neural Networks.

Authors:  Martin Haesemeyer; Alexander F Schier; Florian Engert
Journal:  Neuron       Date:  2019-07-31       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.