Literature DB >> 26150492

What the fly's nose tells the fly's brain.

Charles F Stevens1.   

Abstract

The fly olfactory system has a three-layer architecture: The fly's olfactory receptor neurons send odor information to the first layer (the encoder) where this information is formatted as combinatorial odor code, one which is maximally informative, with the most informative neurons firing fastest. This first layer then sends the encoded odor information to the second layer (decoder), which consists of about 2,000 neurons that receive the odor information and "break" the code. For each odor, the amplitude of the synaptic odor input to the 2,000 second-layer neurons is approximately normally distributed across the population, which means that only a very small fraction of neurons receive a large input. Each odor, however, activates its own population of large-input neurons and so a small subset of the 2,000 neurons serves as a unique tag for the odor. Strong inhibition prevents most of the second-stage neurons from firing spikes, and therefore spikes from only the small population of large-input neurons is relayed to the third stage. This selected population provides the third stage (the user) with an odor label that can be used to direct behavior based on what odor is present.

Keywords:  Marr motif; fly brain; olfaction; theory

Mesh:

Year:  2015        PMID: 26150492      PMCID: PMC4522789          DOI: 10.1073/pnas.1510103112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

Review 1.  Olfactory systems: common design, uncommon origins?

Authors:  N J Strausfeld; J G Hildebrand
Journal:  Curr Opin Neurobiol       Date:  1999-10       Impact factor: 6.627

2.  Olfactory representations by Drosophila mushroom body neurons.

Authors:  Glenn C Turner; Maxim Bazhenov; Gilles Laurent
Journal:  J Neurophysiol       Date:  2007-12-19       Impact factor: 2.714

3.  Sensory processing in the Drosophila antennal lobe increases reliability and separability of ensemble odor representations.

Authors:  Vikas Bhandawat; Shawn R Olsen; Nathan W Gouwens; Michelle L Schlief; Rachel I Wilson
Journal:  Nat Neurosci       Date:  2007-10-07       Impact factor: 24.884

Review 4.  Evolution, discovery, and interpretations of arthropod mushroom bodies.

Authors:  N J Strausfeld; L Hansen; Y Li; R S Gomez; K Ito
Journal:  Learn Mem       Date:  1998 May-Jun       Impact factor: 2.460

5.  A theory of cerebellar cortex.

Authors:  D Marr
Journal:  J Physiol       Date:  1969-06       Impact factor: 5.182

6.  Synaptic organization of the mushroom body calyx in Drosophila melanogaster.

Authors:  Kouji Yasuyama; Ian A Meinertzhagen; Friedrich-Wilhelm Schürmann
Journal:  J Comp Neurol       Date:  2002-04-08       Impact factor: 3.215

7.  Simultaneous encoding of odors by channels with diverse sensitivity to inhibition.

Authors:  Elizabeth J Hong; Rachel I Wilson
Journal:  Neuron       Date:  2015-01-22       Impact factor: 17.173

8.  Sparse, decorrelated odor coding in the mushroom body enhances learned odor discrimination.

Authors:  Andrew C Lin; Alexei M Bygrave; Alix de Calignon; Tzumin Lee; Gero Miesenböck
Journal:  Nat Neurosci       Date:  2014-02-23       Impact factor: 24.884

9.  Stereotyped connectivity and computations in higher-order olfactory neurons.

Authors:  Mehmet Fişek; Rachel I Wilson
Journal:  Nat Neurosci       Date:  2013-12-22       Impact factor: 24.884

10.  Comprehensive maps of Drosophila higher olfactory centers: spatially segregated fruit and pheromone representation.

Authors:  Gregory S X E Jefferis; Christopher J Potter; Alexander M Chan; Elizabeth C Marin; Torsten Rohlfing; Calvin R Maurer; Liqun Luo
Journal:  Cell       Date:  2007-03-23       Impact factor: 41.582

View more
  26 in total

1.  A neural data structure for novelty detection.

Authors:  Sanjoy Dasgupta; Timothy C Sheehan; Charles F Stevens; Saket Navlakha
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

2.  Adaptation of olfactory receptor abundances for efficient coding.

Authors:  Tiberiu Teşileanu; Simona Cocco; Rémi Monasson; Vijay Balasubramanian
Journal:  Elife       Date:  2019-02-26       Impact factor: 8.140

3.  Nonlinear convergence boosts information coding in circuits with parallel outputs.

Authors:  Gabrielle J Gutierrez; Fred Rieke; Eric T Shea-Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-23       Impact factor: 11.205

4.  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

5.  Receptor arrays optimized for natural odor statistics.

Authors:  David Zwicker; Arvind Murugan; Michael P Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-21       Impact factor: 11.205

6.  A statistical property of fly odor responses is conserved across odors.

Authors:  Charles F Stevens
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

7.  Conserved features of the primate face code.

Authors:  Charles F Stevens
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-02       Impact factor: 11.205

8.  Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli.

Authors:  Srinivas Gorur-Shandilya; Mahmut Demir; Junjiajia Long; Damon A Clark; Thierry Emonet
Journal:  Elife       Date:  2017-06-28       Impact factor: 8.140

9.  The connectome of the adult Drosophila mushroom body provides insights into function.

Authors:  Feng Li; Jack W Lindsey; Elizabeth C Marin; Nils Otto; Marisa Dreher; Georgia Dempsey; Ildiko Stark; Alexander S Bates; Markus William Pleijzier; Philipp Schlegel; Aljoscha Nern; Shin-Ya Takemura; Nils Eckstein; Tansy Yang; Audrey Francis; Amalia Braun; Ruchi Parekh; Marta Costa; Louis K Scheffer; Yoshinori Aso; Gregory Sxe Jefferis; Larry F Abbott; Ashok Litwin-Kumar; Scott Waddell; Gerald M Rubin
Journal:  Elife       Date:  2020-12-14       Impact factor: 8.140

10.  A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster.

Authors:  Zhihao Zheng; J Scott Lauritzen; Eric Perlman; Camenzind G Robinson; Matthew Nichols; Daniel Milkie; Omar Torrens; John Price; Corey B Fisher; Nadiya Sharifi; Steven A Calle-Schuler; Lucia Kmecova; Iqbal J Ali; Bill Karsh; Eric T Trautman; John A Bogovic; Philipp Hanslovsky; Gregory S X E Jefferis; Michael Kazhdan; Khaled Khairy; Stephan Saalfeld; Richard D Fetter; Davi D Bock
Journal:  Cell       Date:  2018-07-19       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.