Literature DB >> 8968840

Reafference and attractors in the olfactory system during odor recognition.

L M Kay1, L R Lancaster, W J Freeman.   

Abstract

Olfactory bulb activity has been postulated to be chaotic, as measured in the EEG, and to be subject to an attractor with many "wings" enabling classification of different learned odor classes. Two parallel questions are thus addressed by the work presented here: (1) what is the evidence for attractors in the olfactory system, which can mediate learned odor classes? and (2) how does the olfactory system enter a specific attractor or attractor wing associated with the learned odor during the classification process? Both of these questions address the wider notion of endogenous activity preparing the system for an expected stimulus, which is at the basis of the reafference principle. By viewing the brain as a distributed complex dynamical system with global attractors, these questions can be answered together. Rats were implanted with bipolar macroelectrodes in the Olfactory Bulb (OB), Prepyriform Cortex (PPC), Entorhinal Cortex (EC), and Dentate Gyrus (DG), and then trained in an operant paradigm to press a bar for a reward in the presence of one odor and to receive no reward in the presence of another odor. Local Field Potentials (LFP) were recorded simultaneously from the structures during the operant task. We present evidence for three endogenous events: (1) preafference, which is manifested both by the EC entering an attractor and a mid-range signal (15-30 Hz) which appears to be passed from the EC to the OB just before the OB enters an attractor; (2) afference, where the OB enters an attractor during the odor recognition period of the experiment and the LFP recordings indicate that the OB drives the other structures in all frequency bands, especially the high gamma band (65-100 Hz) associated with the OB burst frequency; and (3) reafference or post-afference, which is accompanied by a lower frequency gamma band signal (40-60 Hz) originating in the PPC and passed to both the OB and the EC just before the onset of the motor response to the odor. We use a new method, NECTAR (Nonparametric Exact Contingency Table Association Routine), related to mutual information, to verify what is seen with coherence and phase estimates, the apparent driving of each structure at different times in the odor trials, and to display evidence for non-periodic attractors governing both individual physiological structures and the system of structures. This is the first evidence of an endogenous, limbic event associated with sensory perceptual tuning in a mammal. These results are also the first experimental confirmation that the attractors governing olfactory activity involve multiple sites in the olfactory/limbic system and implement the process of attention.

Entities:  

Mesh:

Year:  1996        PMID: 8968840     DOI: 10.1142/s0129065796000476

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  15 in total

1.  High-frequency oscillations are not necessary for simple olfactory discriminations in young rats.

Authors:  Max L Fletcher; Abigail M Smith; Aaron R Best; Donald A Wilson
Journal:  J Neurosci       Date:  2005-01-26       Impact factor: 6.167

Review 2.  The International Society for Developmental Psychobiology annual meeting symposium: Impact of early life experiences on brain and behavioral development.

Authors:  Regina Sullivan; Donald A Wilson; Joram Feldon; Benjamin K Yee; Urs Meyer; Gal Richter-Levin; Avital Avi; Tsoory Michael; Michael Gruss; Jörg Bock; Carina Helmeke; Katharina Braun
Journal:  Dev Psychobiol       Date:  2006-11       Impact factor: 3.038

3.  Numerically evaluated functional equivalence between chaotic dynamics in neural networks and cellular automata under totalistic rules.

Authors:  Ryu Takada; Daigo Munetaka; Shoji Kobayashi; Yoshikazu Suemitsu; Shigetoshi Nara
Journal:  Cogn Neurodyn       Date:  2006-12-07       Impact factor: 5.082

4.  Lateral entorhinal modulation of piriform cortical activity and fine odor discrimination.

Authors:  Julie Chapuis; Yaniv Cohen; Xiaobin He; Zhijan Zhang; Sen Jin; Fuqiang Xu; Donald A Wilson
Journal:  J Neurosci       Date:  2013-08-14       Impact factor: 6.167

5.  Chaotic neural network applied to two-dimensional motion control.

Authors:  Hiroyuki Yoshida; Shuhei Kurata; Yongtao Li; Shigetoshi Nara
Journal:  Cogn Neurodyn       Date:  2009-12-11       Impact factor: 5.082

6.  Rats track odour trails accurately using a multi-layered strategy with near-optimal sampling.

Authors:  Adil Ghani Khan; Manaswini Sarangi; Upinder Singh Bhalla
Journal:  Nat Commun       Date:  2012-02-28       Impact factor: 14.919

Review 7.  Cortical odor processing in health and disease.

Authors:  Donald A Wilson; Wenjin Xu; Benjamin Sadrian; Emmanuelle Courtiol; Yaniv Cohen; Dylan C Barnes
Journal:  Prog Brain Res       Date:  2014       Impact factor: 2.453

8.  Theta oscillations and sensorimotor performance.

Authors:  Leslie M Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-28       Impact factor: 11.205

9.  Flexible kernel memory.

Authors:  Dimitri Nowicki; Hava Siegelmann
Journal:  PLoS One       Date:  2010-06-11       Impact factor: 3.240

10.  How brains create the world: The dynamical legacy of Walter J Freeman in olfactory system physiology.

Authors:  Leslie M Kay
Journal:  Chaos Complex Lett       Date:  2017
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.