Propagation of Correlated Activity through Multiple Stages of a Neural Circuit

Kimpo, Rhea R.; Theunissen, Frédéric E.; Doupe, Allison J.

doi:10.1523/jneurosci.23-13-05750.2003

Cited by 75 publications

(92 citation statements)

References 88 publications

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“…5b,c) were calculated from the first 800 ms of the membrane potentials according to Kimpo et al (2003). Defining the cross-correlation CC() between two responses r A and r B as…”

Section: Methodsmentioning

confidence: 99%

Integration of Lobula Plate Output Signals by DNOVS1, an Identified Premotor Descending Neuron

Haag¹,

Wertz²,

Borst³

2007

J. Neurosci.

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Many motion-sensitive tangential cells of the lobula plate in blowflies are well described with respect to their visual response properties and the connectivity among them. They have large and complex receptive fields with different preferred directions in different parts of their receptive fields matching the optic flow that occurs during various flight maneuvers. However, much less is known about how tangential cells connect to postsynaptic neurons descending to the motor circuits in the thoracic ganglion and how optic flow is represented in these downstream neurons. Here we describe the physiology and the connectivity of a prominent descending neuron called DNOVS1 (for descending neurons of the ocellar and vertical system). We find that DNOVS1 is electrically coupled to a subset of vertical system cells. The specific wiring leads to a preference of DNOVS1 for rotational flow fields around a particular body axis. In addition, DNOVS1 receives input from interneurons connected to the ocelli.

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“…5b,c) were calculated from the first 800 ms of the membrane potentials according to Kimpo et al (2003). Defining the cross-correlation CC() between two responses r A and r B as…”

Section: Methodsmentioning

confidence: 99%

Integration of Lobula Plate Output Signals by DNOVS1, an Identified Premotor Descending Neuron

Haag¹,

Wertz²,

Borst³

2007

J. Neurosci.

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“…1). Spike timing is highly correlated across HVC, RA, and LMAN (Kimpo et al, 2003), and a requirement for synchronous arrival of LMAN and direct HV-C (RA) input could lead to inelasticity of activity within RA. Moreover, this pathway has been implicated in syllable sequencing in Bengalese finches (Kobayashi et al, 2001), consistent with the proposed role of the basal ganglia in sequential behaviors (Hikosaka et al, 2002;Aldridge et al, 2004;Fujii and Graybiel, 2005).…”

Section: Locus Of Hierarchical Representationsmentioning

confidence: 99%

Temporal Structure in Zebra Finch Song: Implications for Motor Coding

2006

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Adult zebra finch songs consist of stereotyped sequences of syllables. Although some behavioral and physiological data suggest that songs are structured hierarchically, there is also evidence that they are driven by nonhierarchical, clock-like bursting in the premotor nucleus HVC (used as a proper name). In this study, we developed a semiautomated template-matching algorithm to identify repeated sequences of syllables and a modified dynamic time-warping algorithm to make fine-grained measurements of the temporal structure of song. We find that changes in song length are expressed across the song as a whole rather than resulting from an accumulation of independent variance during singing. Song length changes systematically over the course of a day and is related to the general level of bird activity as well as the presence of a female. The data also show patterns of variability that suggest distinct mechanisms underlying syllable and gap lengths: as tempo varies, syllables stretch and compress proportionally less than gaps, whereas syllable-syllable and gap-gap correlations are significantly stronger than syllable-gap correlations. There is also increased temporal variability at motif boundaries and especially strong positive correlations between the same syllables sung in different motifs. Finally, we find evidence that syllable onsets may have a special role in aligning syllables with global song structure. Generally, the timing data support a hierarchical view in which song is composed of smaller syllable-based units and provide a rich set of constraints for interpreting the results of physiological recordings.

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“…Some detail about the properties of neurons in each nucleus has been revealed by electrophysiological experiments in the past decade, and we shall review this information as we develop the model discussed in this paper. Despite the inhomogeneity in each nucleus, the birdsong nuclei in the premotor pathway and the nuclei of the anterior forebrain pathway, which is closely linked with it, appear to act in a cooperative manner with regard to the timing of signals observed during song production [2].…”

Section: Introductionmentioning

confidence: 99%

Dynamical model of birdsong maintenance and control

et al. 2004

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The neuroethology of song learning, production, and maintenance in songbirds presents interesting similarities to human speech. We have developed a biophysical model of the manner in which song could be maintained in adult songbirds. This model may inform us about the human counterpart to these processes. In songbirds, signals generated in nucleus High Vocal center (HVc) follow a direct route along a premotor pathway to the robust nucleus of the archistriatum (RA) as well as an indirect route to RA through the anterior forebrain pathway (AFP): the neurons of RA are innervated from both sources. HVc expresses very sparse bursts of spikes having interspike intervals of about 2 ms. The expressions of these bursts arrive at the RA with a time difference ⌬T Ϸ 50± 10 ms between the two pathways. The observed combination of AMPA and NMDA receptors at RA projection neurons suggests that long-term potentiation and long-term depression can both be induced by spike timing plasticity through the pairing of the HVc and AFP signals. We present a dynamical model that stabilizes this synaptic plasticity through a feedback from the RA to the AFP using known connections. The stabilization occurs dynamically and is absent when the RA→ AFP connection is removed. This requires a dynamical selection of ⌬T. The model does this, and ⌬T lies within the observed range. Our model represents an illustration of a functional consequence of activity-dependent plasticity directly connected with neuroethological observations. Within the model the parameters of the AFP, and thus the magnitude of ⌬T, can also be tuned to an unstable regime. This means that destabilization might be induced by neuromodulation of the AFP.

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Propagation of Correlated Activity through Multiple Stages of a Neural Circuit

Cited by 75 publications

References 88 publications

Integration of Lobula Plate Output Signals by DNOVS1, an Identified Premotor Descending Neuron

Integration of Lobula Plate Output Signals by DNOVS1, an Identified Premotor Descending Neuron

Temporal Structure in Zebra Finch Song: Implications for Motor Coding

Dynamical model of birdsong maintenance and control

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