Neural dynamics of envelope coding

被引:21
|
作者
Longtin, Andre [1 ,2 ,3 ]
Middleton, Jason W. [1 ,2 ,3 ]
Cieniak, Jakub [1 ,2 ]
Maler, Leonard [2 ,3 ]
机构
[1] Univ Ottawa, Dept Phys, Ottawa, ON K1N 6N5, Canada
[2] Univ Ottawa, Ctr Neural Dynam, Ottawa, ON K1N 6N5, Canada
[3] Univ Ottawa, Dept Cellular & Mol Med, Ottawa, ON K1N 6N5, Canada
关键词
neural coding; integrate-and-fire model; Hilbert transform; coherence; electroreceptors; stochastic resonance;
D O I
10.1016/j.mbs.2008.01.008
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We consider the processing of narrowband signals that modulate carrier waveforms in sensory systems. The tuning of sensory neurons to the carrier frequency results in a high sensitivity to the amplitude modulations of the carrier. Recent work has revealed how specialized circuitry can extract the lower-frequency modulation associated with the slow envelope of a narrowband signal, and send. it to higher brain along with the full signal. This paper first summarizes the experimental evidence for this processing in the context of electroreception, where the narrowband signals arise in the context of social communication between the animals. It then examines the mechanism of this extraction by single neurons and neural populations, using intracellular recordings and new modeling results contrasting envelope extraction and stochastic resonance. Low noise and peri-threshold stimulation are necessary to obtain a firing pattern than, shows high coherence with the envelope of the input. Further, the output must be fed through a slow synapse. Averaging networks are then considered for their ability to detect, using additional noise, signals with power in the envelope bandwidth. The circuitry that (toes support envelope extraction beyond the primary receptors is available in many areas of the brain including cortex. The mechanism of envelope extraction and its gating by noise and bias currents is thus accessible to non-carrier-based coding as well, as long as the input to the circuit is a narrowband signal. Novel results are also presented on a more biophysical model of the receptor population, showing that it can encode a narrowband signal, but not its envelope, as observed experimentally. The model is modified from previous models by reducing stimulus contrast in order to make it sufficiently linear to agree with the experimental data. (C) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:87 / 99
页数:13
相关论文
共 50 条
  • [21] Energy coding in neural network with inhibitory neurons
    Wang, Ziyin
    Wang, Rubin
    Fang, Ruiyan
    COGNITIVE NEURODYNAMICS, 2015, 9 (02) : 129 - 144
  • [22] Neural coding and contextual influences in the whisker system
    Rasmus S. Petersen
    Stefano Panzeri
    Miguel Maravall
    Biological Cybernetics, 2009, 100 : 427 - 446
  • [23] Neural Coding for Luminance in The Primary Visual Cortex
    Wang Yi
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2016, 43 (04) : 361 - 366
  • [24] Correlation and neural information coding fidelity and efficiency
    Gruner, CM
    Johnson, DH
    COMPUTATIONA L NEUROSCIENCE: TRENDS IN RESEARCH 1999, 1999, : 163 - 168
  • [25] The Competing Benefits of Noise and Heterogeneity in Neural Coding
    Hunsberger, Eric
    Scott, Matthew
    Eliasmith, Chris
    NEURAL COMPUTATION, 2014, 26 (08) : 1600 - 1623
  • [26] Neural coding and contextual influences in the whisker system
    Petersen, Rasmus S.
    Panzeri, Stefano
    Maravall, Miguel
    BIOLOGICAL CYBERNETICS, 2009, 100 (06) : 427 - 446
  • [27] Information-theoretic analysis of neural coding
    Johnson, DH
    Gruner, CM
    Baggerly, K
    Seshagiri, C
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2001, 10 (01) : 47 - 69
  • [28] Energy coding in neural network with inhibitory neurons
    Ziyin Wang
    Rubin Wang
    Ruiyan Fang
    Cognitive Neurodynamics, 2015, 9 : 129 - 144
  • [29] Stimulus reference frame and neural coding precision
    Kostal, Lubomir
    JOURNAL OF MATHEMATICAL PSYCHOLOGY, 2016, 71 : 22 - 27
  • [30] The Geometry of Information Coding in Correlated Neural Populations
    da Silveira, Rava Azeredo
    Rieke, Fred
    ANNUAL REVIEW OF NEUROSCIENCE, VOL 44, 2021, 2021, 44 : 403 - 424