Biophysical modulation and robustness of itinerant complexity in neuronal networks

Venkadesh, Siva; Shaikh, Asmir; Shakeri, Heman; Barreto, Ernest; Van Horn, John Darrell

doi:10.3389/fnetp.2024.1302499

Cited by 3 publications

(2 citation statements)

References 59 publications

(84 reference statements)

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“…The excitatory-inhibitory (E/I) module is analogous to the classic predator-prey relationship and a common block of other similar networks ( Venkadesh et al, 2024 ). The excitatory (blue) neuron acts as the “prey” by providing enough drive for the inhibitory (green) neuron, acting as the “predator,” to generate tonic-spiking activity and slow down the excitation through inhibitory feedback.…”

Section: Dynamics and Stability Of Network Bursting In Coupled Pairsmentioning

confidence: 99%

Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits. A tutorial

Scully,

Bourahmah,

Bloom

et al. 2024

Front. Netw. Physiol.

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In this study we focus on two subnetworks common in the circuitry of swim central pattern generators (CPGs) in the sea slugs, Melibe leonina and Dendronotus iris and show that they are independently capable of stably producing emergent network bursting. This observation raises the question of whether the coordination of redundant bursting mechanisms plays a role in the generation of rhythm and its regulation in the given swim CPGs. To address this question, we investigate two pairwise rhythm-generating networks and examine the properties of their fundamental components: cellular and synaptic, which are crucial for proper network assembly and its stable function. We perform a slow-fast decomposition analysis of cellular dynamics and highlight its significant bifurcations occurring in isolated and coupled neurons. A novel model for slow synapses with high filtering efficiency and temporal delay is also introduced and examined. Our findings demonstrate the existence of two modes of oscillation in bicellular rhythm-generating networks with network hysteresis: i) a half-center oscillator and ii) an excitatory-inhibitory pair. These 2-cell networks offer potential as common building blocks combined in modular organization of larger neural circuits preserving robust network hysteresis.

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Section: Dynamics and Stability Of Network Bursting In Coupled Pairsmentioning

confidence: 99%

Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits. A tutorial

Scully,

Bourahmah,

Bloom

et al. 2024

Front. Netw. Physiol.

View full text Add to dashboard Cite

show abstract

“…The excitatory-inhibitory (E/I) module is analogous to the classic predator-prey relationship and a common block of other similar networks (Venkadesh et al, 2024). The excitatory (blue) neuron acts as the "prey" by providing enough drive for the inhibitory (green) neuron, acting as the "predator," to generate tonic-spiking activity and slow down the excitation through inhibitory feedback.…”

Section: Excitatory-inhibitory (E/i) Modulementioning

confidence: 99%

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Data-driven and equation-free methods for neurological disorders: analysis and control of the striatum network

Spiliotis,

Köhling,

Just

et al. 2024

Front. Netw. Physiol.

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The striatum as part of the basal ganglia is central to both motor, and cognitive functions. Here, we propose a large-scale biophysical network for this part of the brain, using modified Hodgkin-Huxley dynamics to model neurons, and a connectivity informed by a detailed human atlas. The model shows different spatio-temporal activity patterns corresponding to lower (presumably normal) and increased cortico-striatal activation (as found in, e.g., obsessive-compulsive disorder), depending on the intensity of the cortical inputs. By applying equation-free methods, we are able to perform a macroscopic network analysis directly from microscale simulations. We identify the mean synaptic activity as the macroscopic variable of the system, which shows similarity with local field potentials. The equation-free approach results in a numerical bifurcation and stability analysis of the macroscopic dynamics of the striatal network. The different macroscopic states can be assigned to normal/healthy and pathological conditions, as known from neurological disorders. Finally, guided by the equation-free bifurcation analysis, we propose a therapeutic close loop control scheme for the striatal network.

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Biophysical modulation and robustness of itinerant complexity in neuronal networks

Cited by 3 publications

References 59 publications

Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits. A tutorial

Pairing cellular and synaptic dynamics into building blocks of rhythmic neural circuits. A tutorial

DataSheet1.pdf

Data-driven and equation-free methods for neurological disorders: analysis and control of the striatum network

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