Literature DB >> 17581845

Regulation of burst dynamics improves differential encoding of stimulus frequency by spike train segregation.

W Hamish Mehaffey1, Fernando R Fernandez, Leonard Maler, Ray W Turner.   

Abstract

Distinguishing between different signals conveyed in a single sensory modality presents a significant problem for sensory processing. The weakly electric fish Apteronotus leptorhynchus use electrosensory information to encode both low-frequency signals associated with environmental and prey signals and high-frequency communication signals between conspecifics. We identify a mechanism whereby the GABA(B) component of a feedback pathway to the electrosensory lobe is recruited to regulate the intrinsic burst dynamics and coding properties of pyramidal cells for these behaviorally relevant input signals. Through recordings in an in vitro slice preparation and a reduced model of pyramidal cells, we show that recruitment of dendritic GABA(B) currents can shift the timing of a backpropagating spike and its influence on an intrinsic burst mechanism. This regulation of burst firing alters the coding properties of pyramidal cells by improving the correlation of burst and tonic spikes with respect to low- or high-frequency components of complex stimuli. GABA(B) modulation of spike backpropagation thus improves the segregation of burst and tonic spikes evoked by simulated sensory input, allowing pyramidal cells to parcel the spike train into coding streams for the low- and high-frequency components. As the feedback pathway is predicted to be activated in circumstances where environmental and communication stimuli coexist, these data reveal a novel means by which inhibitory input can regulate spike backpropagation to improve signal segregation.

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Year:  2007        PMID: 17581845     DOI: 10.1152/jn.00423.2007

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  5 in total

1.  Parallel coding of first- and second-order stimulus attributes by midbrain electrosensory neurons.

Authors:  Patrick McGillivray; Katrin Vonderschen; Eric S Fortune; Maurice J Chacron
Journal:  J Neurosci       Date:  2012-04-18       Impact factor: 6.167

2.  Neural heterogeneities and stimulus properties affect burst coding in vivo.

Authors:  O Avila-Akerberg; R Krahe; M J Chacron
Journal:  Neuroscience       Date:  2010-03-15       Impact factor: 3.590

Review 3.  Ionic and neuromodulatory regulation of burst discharge controls frequency tuning.

Authors:  W Hamish Mehaffey; Lee D Ellis; Rüdiger Krahe; Robert J Dunn; Maurice J Chacron
Journal:  J Physiol Paris       Date:  2008-10-18

4.  Internally Generated Predictions Enhance Neural and Behavioral Detection of Sensory Stimuli in an Electric Fish.

Authors:  Armen G Enikolopov; L F Abbott; Nathaniel B Sawtell
Journal:  Neuron       Date:  2018-07-11       Impact factor: 17.173

5.  The neural dynamics of sensory focus.

Authors:  Stephen E Clarke; André Longtin; Leonard Maler
Journal:  Nat Commun       Date:  2015-11-09       Impact factor: 14.919

  5 in total

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