Literature DB >> 26826948

Studying small brains to understand the building blocks of cognition.

Hannah Haberkern1, Vivek Jayaraman2.   

Abstract

Cognition encompasses a range of higher-order mental processes, such as attention, working memory, and model-based decision-making. These processes are thought to involve the dynamic interaction of multiple central brain regions. A mechanistic understanding of such computations requires not only monitoring and manipulating specific neural populations during behavior, but also knowing the connectivity of the underlying circuitry. These goals are experimentally challenging in mammals, but are feasible in numerically simpler insect brains. In Drosophila melanogaster in particular, genetic tools enable precisely targeted physiology and optogenetics in actively behaving animals. In this article we discuss how these advantages are increasingly being leveraged to study abstract neural representations and sensorimotor computations that may be relevant for cognition in both insects and mammals.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2016        PMID: 26826948     DOI: 10.1016/j.conb.2016.01.007

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  10 in total

Review 1.  Two views on the cognitive brain.

Authors:  David L Barack; John W Krakauer
Journal:  Nat Rev Neurosci       Date:  2021-04-15       Impact factor: 34.870

2.  Differential mechanisms underlie trace and delay conditioning in Drosophila.

Authors:  Dhruv Grover; Jen-Yung Chen; Jiayun Xie; Jinfang Li; Jean-Pierre Changeux; Ralph J Greenspan
Journal:  Nature       Date:  2022-02-16       Impact factor: 69.504

3.  A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection.

Authors:  Brad K Hulse; Hannah Haberkern; Romain Franconville; Daniel Turner-Evans; Shin-Ya Takemura; Tanya Wolff; Marcella Noorman; Marisa Dreher; Chuntao Dan; Ruchi Parekh; Ann M Hermundstad; Gerald M Rubin; Vivek Jayaraman
Journal:  Elife       Date:  2021-10-26       Impact factor: 8.713

Review 4.  Learning and Memory in Disease Vector Insects.

Authors:  Clément Vinauger; Chloé Lahondère; Anna Cohuet; Claudio R Lazzari; Jeffrey A Riffell
Journal:  Trends Parasitol       Date:  2016-07-20

5.  Connecting the Brain to Itself through an Emulation.

Authors:  Mijail D Serruya
Journal:  Front Neurosci       Date:  2017-06-30       Impact factor: 4.677

6.  A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.

Authors:  Dennis Goldschmidt; Poramate Manoonpong; Sakyasingha Dasgupta
Journal:  Front Neurorobot       Date:  2017-04-12       Impact factor: 2.650

7.  Cellular diversity in the Drosophila midbrain revealed by single-cell transcriptomics.

Authors:  Vincent Croset; Christoph D Treiber; Scott Waddell
Journal:  Elife       Date:  2018-04-19       Impact factor: 8.140

Review 8.  Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing.

Authors:  Sergey Budaev; Tore S Kristiansen; Jarl Giske; Sigrunn Eliassen
Journal:  R Soc Open Sci       Date:  2020-12-23       Impact factor: 2.963

9.  Isoflurane Impairs Low-Frequency Feedback but Leaves High-Frequency Feedforward Connectivity Intact in the Fly Brain.

Authors:  Dror Cohen; Bruno van Swinderen; Naotsugu Tsuchiya
Journal:  eNeuro       Date:  2018-03-12

10.  Oscillations in the central brain of Drosophila are phase locked to attended visual features.

Authors:  Martyna J Grabowska; Rhiannon Jeans; James Steeves; Bruno van Swinderen
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-11       Impact factor: 11.205

  10 in total

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