Literature DB >> 20886275

Spiking neurons that keep the rhythm.

Jean-Philippe Thivierge1, Paul Cisek.   

Abstract

Detecting the temporal relationship among events in the environment is a fundamental goal of the brain. Following pulses of rhythmic stimuli, neurons of the retina and cortex produce activity that closely approximates the timing of an omitted pulse. This omitted stimulus response (OSR) is generally interpreted as a transient response to rhythmic input and is thought to form a basis of short-term perceptual memories. Despite its ubiquity across species and experimental protocols, the mechanisms underlying OSRs remain poorly understood. In particular, the highly transient nature of OSRs, typically limited to a single cycle after stimulation, cannot be explained by a simple mechanism that would remain locked to the frequency of stimulation. Here, we describe a set of realistic simulations that capture OSRs over a range of stimulation frequencies matching experimental work. The model does not require an explicit mechanism for learning temporal sequences. Instead, it relies on spike timing-dependent plasticity (STDP), a form of synaptic modification that is sensitive to the timing of pre- and post-synaptic action potentials. In the model, the transient nature of OSRs is attributed to the heterogeneous nature of neural properties and connections, creating intricate forms of activity that are continuously changing over time. Combined with STDP, neural heterogeneity enabled OSRs to complex rhythmic patterns as well as OSRs following a delay period. These results link the response of neurons to rhythmic patterns with the capacity of heterogeneous circuits to produce transient and highly flexible forms of neural activity.

Mesh:

Year:  2010        PMID: 20886275     DOI: 10.1007/s10827-010-0280-1

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  66 in total

Review 1.  Neuronal diversity in the retina.

Authors:  R H Masland
Journal:  Curr Opin Neurobiol       Date:  2001-08       Impact factor: 6.627

2.  Timing-based LTP and LTD at vertical inputs to layer II/III pyramidal cells in rat barrel cortex.

Authors:  D E Feldman
Journal:  Neuron       Date:  2000-07       Impact factor: 17.173

3.  Dynamics of population rate codes in ensembles of neocortical neurons.

Authors:  G Silberberg; M Bethge; H Markram; K Pawelzik; M Tsodyks
Journal:  J Neurophysiol       Date:  2004-02       Impact factor: 2.714

4.  Theta rhythmicities following expected visual and auditory targets.

Authors:  T Demiralp; E Başar
Journal:  Int J Psychophysiol       Date:  1992-09       Impact factor: 2.997

5.  Polychronization: computation with spikes.

Authors:  Eugene M Izhikevich
Journal:  Neural Comput       Date:  2006-02       Impact factor: 2.026

Review 6.  Neuronal computations with stochastic network states.

Authors:  Alain Destexhe; Diego Contreras
Journal:  Science       Date:  2006-10-06       Impact factor: 47.728

7.  Limits on the memory storage capacity of bounded synapses.

Authors:  Stefano Fusi; L F Abbott
Journal:  Nat Neurosci       Date:  2007-03-11       Impact factor: 24.884

8.  All-or-none potentiation at CA3-CA1 synapses.

Authors:  C C Petersen; R C Malenka; R A Nicoll; J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-14       Impact factor: 11.205

9.  Synaptic tagging and long-term potentiation.

Authors:  U Frey; R G Morris
Journal:  Nature       Date:  1997-02-06       Impact factor: 49.962

10.  Human posterior auditory cortex gates novel sounds to consciousness.

Authors:  Iiro P Jääskeläinen; Jyrki Ahveninen; Giorgio Bonmassar; Anders M Dale; Risto J Ilmoniemi; Sari Levänen; Fa-Hsuan Lin; Patrick May; Jennifer Melcher; Steven Stufflebeam; Hannu Tiitinen; John W Belliveau
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

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  3 in total

1.  Attractor dynamics in local neuronal networks.

Authors:  Jean-Philippe Thivierge; Rosa Comas; André Longtin
Journal:  Front Neural Circuits       Date:  2014-03-20       Impact factor: 3.492

2.  A generic deviance detection principle for cortical On/Off responses, omission response, and mismatch negativity.

Authors:  Vincent S C Chien; Burkhard Maess; Thomas R Knösche
Journal:  Biol Cybern       Date:  2019-08-19       Impact factor: 2.086

Review 3.  Neural Substrates and Models of Omission Responses and Predictive Processes.

Authors:  Alessandro Braga; Marc Schönwiesner
Journal:  Front Neural Circuits       Date:  2022-02-01       Impact factor: 3.492

  3 in total

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