Literature DB >> 25349912

Big behavioral data: psychology, ethology and the foundations of neuroscience.

Alex Gomez-Marin1, Joseph J Paton1, Adam R Kampff1, Rui M Costa1, Zachary F Mainen1.   

Abstract

Behavior is a unifying organismal process where genes, neural function, anatomy and environment converge and interrelate. Here we review the current state and discuss the future effect of accelerating advances in technology for behavioral studies, focusing on rodents as an example. We frame our perspective in three dimensions: the degree of experimental constraint, dimensionality of data and level of description. We argue that 'big behavioral data' presents challenges proportionate to its promise and describe how these challenges might be met through opportunities afforded by the two rival conceptual legacies of twentieth century behavioral science, ethology and psychology. We conclude that, although 'more is not necessarily better', copious, quantitative and open behavioral data has the potential to transform and unify these two disciplines and to solidify the foundations of others, including neuroscience, but only if the development of new theoretical frameworks and improved experimental designs matches the technological progress.

Mesh:

Year:  2014        PMID: 25349912     DOI: 10.1038/nn.3812

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  53 in total

1.  Matching behavior and the representation of value in the parietal cortex.

Authors:  Leo P Sugrue; Greg S Corrado; William T Newsome
Journal:  Science       Date:  2004-06-18       Impact factor: 47.728

2.  Investigating neural correlates of behavior in freely behaving rodents using inertial sensors.

Authors:  Subramaniam Venkatraman; Xin Jin; Rui M Costa; Jose M Carmena
Journal:  J Neurophysiol       Date:  2010-04-28       Impact factor: 2.714

3.  Neural correlates, computation and behavioural impact of decision confidence.

Authors:  Adam Kepecs; Naoshige Uchida; Hatim A Zariwala; Zachary F Mainen
Journal:  Nature       Date:  2008-09-11       Impact factor: 49.962

4.  Behavioral diversity in microbes and low-dimensional phenotypic spaces.

Authors:  David Jordan; Seppe Kuehn; Eleni Katifori; Stanislas Leibler
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

Review 5.  Goal-directed instrumental action: contingency and incentive learning and their cortical substrates.

Authors:  B W Balleine; A Dickinson
Journal:  Neuropharmacology       Date:  1998 Apr-May       Impact factor: 5.250

6.  Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning.

Authors:  Joshua T Vogelstein; Youngser Park; Tomoko Ohyama; Rex A Kerr; James W Truman; Carey E Priebe; Marta Zlatic
Journal:  Science       Date:  2014-03-27       Impact factor: 47.728

7.  Rats and humans can optimally accumulate evidence for decision-making.

Authors:  Bingni W Brunton; Matthew M Botvinick; Carlos D Brody
Journal:  Science       Date:  2013-04-05       Impact factor: 47.728

8.  Order in spontaneous behavior.

Authors:  Alexander Maye; Chih-Hao Hsieh; George Sugihara; Björn Brembs
Journal:  PLoS One       Date:  2007-05-16       Impact factor: 3.240

9.  High-throughput ethomics in large groups of Drosophila.

Authors:  Kristin Branson; Alice A Robie; John Bender; Pietro Perona; Michael H Dickinson
Journal:  Nat Methods       Date:  2009-05-03       Impact factor: 28.547

10.  Dimensionality and dynamics in the behavior of C. elegans.

Authors:  Greg J Stephens; Bethany Johnson-Kerner; William Bialek; William S Ryu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

View more
  79 in total

1.  Operant avoidance learning in crayfish, Orconectes rusticus: Computational ethology and the development of an automated learning paradigm.

Authors:  Rohan Bhimani; Robert Huber
Journal:  Learn Behav       Date:  2016-09       Impact factor: 1.986

2.  Tread softly and carry a clock's tick.

Authors:  Joseph J Paton; Brian Lau
Journal:  Nat Neurosci       Date:  2015-03       Impact factor: 24.884

3.  Systems Neuroscience of Natural Behaviors in Rodents.

Authors:  Emily Jane Dennis; Ahmed El Hady; Angie Michaiel; Ann Clemens; Dougal R Gowan Tervo; Jakob Voigts; Sandeep Robert Datta
Journal:  J Neurosci       Date:  2020-12-18       Impact factor: 6.167

Review 4.  Algorithms for Olfactory Search across Species.

Authors:  Keeley L Baker; Michael Dickinson; Teresa M Findley; David H Gire; Matthieu Louis; Marie P Suver; Justus V Verhagen; Katherine I Nagel; Matthew C Smear
Journal:  J Neurosci       Date:  2018-10-31       Impact factor: 6.167

5.  A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants.

Authors:  Hantao Zhao; Tyler Thrash; Stefan Wehrli; Christoph Hölscher; Mubbasir Kapadia; Jascha Grübel; Raphael P Weibel; Victor R Schinazi
Journal:  J Vis Exp       Date:  2018-08-26       Impact factor: 1.355

Review 6.  Decision-making behaviors: weighing ethology, complexity, and sensorimotor compatibility.

Authors:  Ashley L Juavinett; Jeffrey C Erlich; Anne K Churchland
Journal:  Curr Opin Neurobiol       Date:  2017-11-25       Impact factor: 6.627

7.  Sniff-synchronized, gradient-guided olfactory search by freely moving mice.

Authors:  Teresa M Findley; David G Wyrick; Jennifer L Cramer; Morgan A Brown; Blake Holcomb; Robin Attey; Dorian Yeh; Eric Monasevitch; Nelly Nouboussi; Isabelle Cullen; Jeremea O Songco; Jared F King; Yashar Ahmadian; Matthew C Smear
Journal:  Elife       Date:  2021-05-04       Impact factor: 8.140

8.  High-Throughput Automatic Training System for Spatial Working Memory in Free-Moving Mice.

Authors:  Shimin Zou; Chengyu Tony Li
Journal:  Neurosci Bull       Date:  2019-04-11       Impact factor: 5.203

9.  HiMoP: A three-component architecture to create more human-acceptable social-assistive robots : Motivational architecture for assistive robots.

Authors:  Francisco J Rodríguez-Lera; Vicente Matellán-Olivera; Miguel Á Conde-González; Francisco Martín-Rico
Journal:  Cogn Process       Date:  2018-01-06

Review 10.  Quantifying behavior to solve sensorimotor transformations: advances from worms and flies.

Authors:  Adam J Calhoun; Mala Murthy
Journal:  Curr Opin Neurobiol       Date:  2017-08-30       Impact factor: 6.627

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.