Robust dynamical invariants in sequential neural activity

Elices, Irene; Levi, Rafael; Arroyo, David; Rodríguez, Francisco B.; Varona, Pablo

doi:10.1101/379909

Cited by 6 publications

(5 citation statements)

References 68 publications

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“…Across individuals, activity patterns can vary, particularly in cycle period, but retain enough consistency in the activity phases to be readily matched across the same individuals. In the pyloric circuit, spontaneous in vitro rhythmic patterns in individual preparations show some cycle-to-cycle variability in the bursting neurons' activity phases, consistent with cycle-to-cycle variability in cycle period (Bucher et al, 2005a;Elices et al, 2019). However, mean phases are well maintained when mean cycle period is experimentally altered (Hooper, 1997;Tang et al, 2012;Soofi et al, 2014).…”

Section: Variability Of Activity Phases Within and Across Individualsmentioning

confidence: 78%

Inter-animal variability in activity phase is constrained by synaptic dynamics in an oscillatory network

Anwar

Martínez

Bucher

et al. 2022

Preprint

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The levels of voltage-gated and synaptic currents in the same neuron type can vary substantially across individuals. Yet, the phase relationships between neurons in oscillatory circuits are often maintained, even in the face of varying oscillation frequencies. We examined whether synaptic and intrinsic currents are matched to maintain constant activity phases across preparations, using the lateral pyloric (LP) neuron of the stomatogastric ganglion of the crab, Cancer borealis. LP produces stable oscillatory bursts upon release from inhibition, with an onset phase that is independent of oscillation frequency. We quantified the parameters that define the shape of the synaptic current inputs across preparations and found no linear correlations with voltage-gated currents. However, several synaptic parameters were correlated with oscillation period and burst onset phase, suggesting they may play a role in phase maintenance. We used the dynamic clamp to apply artificial synaptic inputs and found that those synaptic parameters correlated with phase and period were ineffective in influencing burst onset. Instead, parameters that showed the least variability across preparations had the greatest influence. Thus, parameters that influence circuit phasing are constrained across individuals, while those that have little effect simply co-vary with phase and frequency.

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Section: Variability Of Activity Phases Within and Across Individualsmentioning

confidence: 78%

Inter-animal variability in activity phase is constrained by synaptic dynamics in an oscillatory network

Anwar

Martínez

Bucher

et al. 2022

Preprint

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“…Intracellular recordings were performed using 3 M KCl filled microelectrodes (50 MΩ ) and a DC amplifier (ELC-03M, NPI Electronic, Hauptstrasse, Tamm, Germany). For details on the preparation see (Elices et al, 2018 ).…”

Section: Methodsmentioning

confidence: 99%

RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience

Amaducci

Reyes-Sanchez

Elices

et al. 2019

Front. Neuroinform.

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Closed-loop technologies provide novel ways of online observation, control and bidirectional interaction with the nervous system, which help to study complex non-linear and partially observable neural dynamics. These protocols are often difficult to implement due to the temporal precision required when interacting with biological components, which in many cases can only be achieved using real-time technology. In this paper we introduce RTHybrid (www.github.com/GNB-UAM/RTHybrid), a free and open-source software that includes a neuron and synapse model library to build hybrid circuits with living neurons in a wide variety of experimental contexts. In an effort to encourage the standardization of real-time software technology in neuroscience research, we compared different open-source real-time operating system patches, RTAI, Xenomai 3 and Preempt-RT, according to their performance and usability. RTHybrid has been developed to run over Linux operating systems supporting both Xenomai 3 and Preempt-RT real-time patches, and thus allowing an easy implementation in any laboratory. We report a set of validation tests and latency benchmarks for the construction of hybrid circuits using this library. With this work we want to promote the dissemination of standardized, user-friendly and open-source software tools developed for open- and closed-loop experimental neuroscience.

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“…To illustrate the concept of automatic mapping, we developed a protocol to look for a dynamical invariant in a hybrid circuit. A dynamical invariant is defined as a preserved relationship between time intervals that define a sequence in a neural rhythm (Elices et al, 2018). Dynamical invariants are preserved cycle-by-cycle, even during transients.…”

Section: Automatic Mappingmentioning

confidence: 99%

Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks

et al. 2020

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Hybrid circuits built by creating mono-or bi-directional interactions among living cells and model neurons and synapses are an effective way to study neuron, synaptic and neural network dynamics. However, hybrid circuit technology has been largely underused in the context of neuroscience studies mainly because of the inherent difficulty in implementing and tuning this type of interactions. In this paper, we present a set of algorithms for the automatic adaptation of model neurons and connections in the creation of hybrid circuits with living neural networks. The algorithms perform model time and amplitude scaling, drift compensation, goal-driven synaptic and model tuning/calibration and also automatic parameter mapping. These algorithms have been implemented in RTHybrid, an open-source library that works with hard real-time constraints. We provide validation examples by building hybrid circuits in a central pattern generator. The results of the validation experiments show that the proposed dynamic adaptation facilitates building hybrid circuits and closedloop communication among living and artificial model neurons and connections. Furthermore contributes to characterize system dynamics, achieve control, automate experimental protocols and extend the lifespan of the preparations.

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Robust dynamical invariants in sequential neural activity

Cited by 6 publications

References 68 publications

Inter-animal variability in activity phase is constrained by synaptic dynamics in an oscillatory network

Inter-animal variability in activity phase is constrained by synaptic dynamics in an oscillatory network

RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience

Automatic Adaptation of Model Neurons and Connections to Build Hybrid Circuits with Living Networks

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