Evidence and control of bifurcations in a respiratory system

Goldin, Matías A.; Mindlin, Gabriel B.

doi:10.1063/1.4854395

Cited by 6 publications

(7 citation statements)

References 19 publications

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“…In this way, the circular model is not only compatible with the breaking of syllables but it importantly also predicts that patterns that break do so at specific locations. These locations are consistent with patterns seen in the experimental data (Goldin and Mindlin, 2013 ).…”

Section: Discussionsupporting

confidence: 91%

A circular model for song motor control in Serinus canaria

Gogui

Trevisan

Amador

et al. 2015

Front. Comput. Neurosci.

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Song production in songbirds is controlled by a network of nuclei distributed across several brain regions, which drives respiratory and vocal motor systems to generate sound. We built a model for birdsong production, whose variables are the average activities of different neural populations within these nuclei of the song system. We focus on the predictions of respiratory patterns of song, because these can be easily measured and therefore provide a validation for the model. We test the hypothesis that it is possible to construct a model in which (1) the activity of an expiratory related (ER) neural population fits the observed pressure patterns used by canaries during singing, and (2) a higher forebrain neural population, HVC, is sparsely active, simultaneously with significant motor instances of the pressure patterns. We show that in order to achieve these two requirements, the ER neural population needs to receive two inputs: a direct one, and its copy after being processed by other areas of the song system. The model is capable of reproducing the measured respiratory patterns and makes specific predictions on the timing of HVC activity during their production. These results suggest that vocal production is controlled by a circular network rather than by a simple top-down architecture.

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Section: Discussionsupporting

confidence: 91%

A circular model for song motor control in Serinus canaria

Gogui

Trevisan

Amador

et al. 2015

Front. Comput. Neurosci.

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“…For room temperatures at which the original studies were performed, the bursting behavior disappeared for HVC RA and changed drastically for HVC X , showing only two spikes. Another interesting behavior shown was the delay onset for the first spike in HVC RA bursts, that may have specific implications in explaining previous temperature manipulation experiments [ 16 , 24 , 25 , 33 ] which we will discuss in the next section.…”

Section: Resultsmentioning

confidence: 57%

“…Continuous temporal encoding of vocal features was proposed as a key role of HVC [ 16 , 20 ]. However, this view has been open to debate recently with the proposition that activity in this nucleus only encodes relevant instances of song [ 17 , 21 – 23 ], and by a complementary proposition [ 24 , 25 ] in which song timescales appear from the interaction of the HVC with the rest of the motor pathway. These have broadened the discussion regarding the possible motor coding of song in HVC, leading to the proposition of recurrent networks for song timing generation [ 23 , 26 – 29 ].…”

Section: Introductionmentioning

confidence: 99%

“…A novel technique that has been developed recently to manipulate activity within HVC is local temperature control [ 16 , 24 , 25 , 33 , 39 – 41 ]. It was shown for zebra finches (Taeniogypia guttata) that cooling HVC leads to a stretching of the song tempo without major changes in the acoustic structure of song [ 16 , 39 ], and for canaries (Serinus canaria) an initial stretching and a restructuring of song, or “syllable breaking” for colder temperatures [ 24 ], and the possibility of controlling syllable transitions [ 25 , 40 ]. The working hypothesis for these experiments is that a timescale represented in HVC is being manipulated with temperature, somehow making it slower at colder temperatures.…”

Section: Introductionmentioning

confidence: 99%

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Temperature manipulation of neuronal dynamics in a forebrain motor control nucleus

Goldin

Mindlin

2017

PLoS Comput Biol

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Different neuronal types within brain motor areas contribute to the generation of complex motor behaviors. A widely studied songbird forebrain nucleus (HVC) has been recognized as fundamental in shaping the precise timing characteristics of birdsong. This is based, among other evidence, on the stretching and the “breaking” of song structure when HVC is cooled. However, little is known about the temperature effects that take place in its neurons. To address this, we investigated the dynamics of HVC both experimentally and computationally. We developed a technique where simultaneous electrophysiological recordings were performed during temperature manipulation of HVC. We recorded spontaneous activity and found three effects: widening of the spike shape, decrease of the firing rate and change in the interspike interval distribution. All these effects could be explained with a detailed conductance based model of all the neurons present in HVC. Temperature dependence of the ionic channel time constants explained the first effect, while the second was based in the changes of the maximal conductance using single synaptic excitatory inputs. The last phenomenon, only emerged after introducing a more realistic synaptic input to the inhibitory interneurons. Two timescales were present in the interspike distributions. The behavior of one timescale was reproduced with different input balances received form the excitatory neurons, whereas the other, which disappears with cooling, could not be found assuming poissonian synaptic inputs. Furthermore, the computational model shows that the bursting of the excitatory neurons arises naturally at normal brain temperature and that they have an intrinsic delay at low temperatures. The same effect occurs at single synapses, which may explain song stretching. These findings shed light on the temperature dependence of neuronal dynamics and present a comprehensive framework to study neuronal connectivity. This study, which is based on intrinsic neuronal characteristics, may help to understand emergent behavioral changes.

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“…By locally cooling both left and right HVC nuclei in zebra finches, canaries and Bengalese finches, it was observed a significant temporal stretching across all time scales, from song motif to silent gaps [14,[19][20][21][22][23]. From recent works exploring temperature effects at a neuronal level [24], we know that synaptic conductance propagation times coming from HVC's afferents are slowed with temperature, being then plausible to expect an expansion in the motor gesture.…”

Section: Introductionmentioning

confidence: 99%

Modeling temperature manipulations in a circular model of birdsong production

2018

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The nature of the neural mechanisms in the birdsong motor pathway that lead to the generation of respiratory patterns are a matter of extensive debate. In a top-down control paradigm, vocal gestures emerge from a unique timescale ruled by the telencephalic nucleus HVC, which engages other brain regions downstream. Another possibility is that the generation of motor instructions is distributed throughout the neural network, flowing both upstream and downstream. In this circular architecture, the song results from the integration of more than one timescale. In order to disambiguate these views, we used local focal cooling of HVC in canaries to manipulate the timescale present there. Within the frame of the circular model, we fitted the experimental pressure patterns of different types of syllables, which form a full song. We show that at least two separate timescales must be taken into account to reproduce them, one which is manipulated by cooling while the other remains unchanged. The modifications -stretching and breaking-of the syllables were quantitatively reproduced in this frame.

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Evidence and control of bifurcations in a respiratory system

Cited by 6 publications

References 19 publications

A circular model for song motor control in Serinus canaria

A circular model for song motor control in Serinus canaria

Temperature manipulation of neuronal dynamics in a forebrain motor control nucleus

Modeling temperature manipulations in a circular model of birdsong production

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