Refractoriness Accounts for Variable Spike Burst Responses in Somatosensory Cortex

Autor: Alain Destexhe, Richard Kempter, Gabriel Curio, Bartosz Telenczuk
Přispěvatelé: Unité de Neurosciences Information et Complexité [Gif sur Yvette] (UNIC), Centre National de la Recherche Scientifique (CNRS), Institut des Neurosciences Paris-Saclay (NeuroPSI), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Institute für Theoretische Biologie, Department of Neurology, Universitätsmedizin Charité
Rok vydání: 2017
Předmět:
Refractory period
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology
MESH: Neurons
MESH: Wrist
Action Potentials
Electroencephalography
Somatosensory system
MESH: Signal Processing
Computer-Assisted
Macaque
MESH: Synapses
Spike burst
0302 clinical medicine
MESH: Animals
EEG
MESH: Action Potentials
Neurons
0303 health sciences
education.field_of_study
medicine.diagnostic_test
[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior
MESH: Electric Stimulation
[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
Signal Processing
Computer-Assisted
Wrist
New Research
Response Variability
Touch Perception
Sensory and Motor Systems
Spike (software development)
Female
MESH: Electrocorticography
burst
spike patterns
Population
Models
Neurological
Biology
MESH: Somatosensory Cortex
MESH: Macaca mulatta
modelling
03 medical and health sciences
MESH: Models
Neurological
biology.animal
medicine
Animals
education
030304 developmental biology
Models
Statistical
Somatosensory Cortex
Macaca mulatta
Electric Stimulation
Synapses
8.1
Electrocorticography
Neuroscience
MESH: Female
030217 neurology & neurosurgery
MESH: Models
Statistical
MESH: Touch Perception
Zdroj: eNeuro
eNeuro, Society for Neuroscience, 2017, 4 (4), pp.ENEURO.0173-17.2017. ⟨10.1523/ENEURO.0173-17.2017⟩
ISSN: 2373-2822
Popis: Neurons in the primary somatosensory cortex (S1) respond to peripheral stimulation with synchronised bursts of spikes, which lock to the macroscopic 600 Hz EEG waves. The mechanism of burst generation and synchronisation in S1 is not yet understood. Using models of single-neuron responses fitted to unit recordings from macaque monkeys, we show that these synchronised bursts are the consequence of correlated synaptic inputs combined with a refractory mechanism. In the presence of noise these models reproduce also the observed trial-to-trial response variability, where individual bursts represent one of many stereotypical temporal spike patterns. When additional slower and global excitability fluctuations are introduced the single-neuron spike patterns are correlated with the population activity, as demonstrated in experimental data. The underlying biophysical mechanism of S1 responses involves thalamic inputs arriving through depressing synapses to cortical neurons in a high-conductance state. Our findings show that a simple feedforward processing of peripheral inputs could give rise to neuronal responses with non-trivial temporal and population statistics. We conclude that neural systems could use refractoriness to encode variable cortical states into stereotypical short-term spike patterns amenable to processing at neuronal time scales (tens of milliseconds).Significance statementNeurons in the hand area of the primary somatosensory cortex respond to repeated presentation of the same stimulus with variable sequences of spikes, which can be grouped into distinct temporal spike patterns. In a simplified model, we show that such spike patterns are product of synaptic inputs and intrinsic neural properties. This model can reproduce both single-neuron and population responses only when a private variability in each neuron is combined with a multiplicative gain shared over whole population, which fluctuates over trials and might represent the dynamical state of the early stages of sensory processing. This phenomenon exemplifies a general mechanism of transforming the ensemble cortical states into precise temporal spike patterns at the level of single neurons.
Databáze: OpenAIRE
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