Encoding Temporal Regularities and Information Copying in Hippocampal Circuits

Roberts, Terri; Kern, Felix B.; Fernando, Chrisantha; Szathmáry, Eörs; Husbands, Phil; Philippides, Andrew; Staras, Kevin

doi:10.1038/s41598-019-55395-1

Cited by 7 publications

(8 citation statements)

References 38 publications

(47 reference statements)

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“…Neuronal network activity was also functionally addressed by MEA recordings, which showed spontaneous network activity patterns characterized by single spikes and bursting events. Both types of signals were abolished by TTX, indicating that they were driven by neuronal action potentials (Zhou et al, 2009;Roberts et al, 2019). Multielectrode array recordings have never been performed directly to enteric neurons but have been used on ileal wholemuscle layer containing the myenteric plexus to measure the oscillating electrical activity (Taniguchi et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

A functional network of highly pure enteric neurons in a dish

Caillaud

Dréan

De-Guilhem-de-Lataillade

et al. 2023

Front. Neurosci.

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The enteric nervous system (ENS) is the intrinsic nervous system that innervates the entire digestive tract and regulates major digestive functions. Recent evidence has shown that functions of the ENS critically rely on enteric neuronal connectivity; however, experimental models to decipher the underlying mechanisms are limited. Compared to the central nervous system, for which pure neuronal cultures have been developed for decades and are recognized as a reference in the field of neuroscience, an equivalent model for enteric neurons is lacking. In this study, we developed a novel model of highly pure rat embryonic enteric neurons with dense and functional synaptic networks. The methodology is simple and relatively fast. We characterized enteric neurons using immunohistochemical, morphological, and electrophysiological approaches. In particular, we demonstrated the applicability of this culture model to multi-electrode array technology as a new approach for monitoring enteric neuronal network activity. This in vitro model of highly pure enteric neurons represents a valuable new tool for better understanding the mechanisms involved in the establishment and maintenance of enteric neuron synaptic connectivity and functional networks.

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Section: Discussionmentioning

confidence: 99%

A functional network of highly pure enteric neurons in a dish

Caillaud

Dréan

De-Guilhem-de-Lataillade

et al. 2023

Front. Neurosci.

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“…Usually, the MEA is plated with poly-d-lysine or poly ethylene imine (PEI). Then, laminin, found in the extracellular matrix, is placed directly over the electrodes to provide a focal substrate for cell adhesion, thus increasing the quality of the seal 25 . A recent study found that neural assemblies on MEAs with poly-dl-ornithine coating resulted in better survival and improved electric characteristics compared to PEI coating 48 .…”

Section: Methodsmentioning

confidence: 99%

“…For neuromodulation, cellular activity depends largely on the amplitude and frequency of ES, while other determinable parameters also matter (Fig. 8 ), such as pulse width 104 , wave form 25 , arrangement of stimulation sites 80 , and stimulation duration 75 . To ensure a reliable stimulation effect, suitable stimulation paradigms following basic design criteria 101 are pivotal.…”

Section: Bidirectional Communications With Neural Network On Measmentioning

confidence: 99%

See 1 more Smart Citation

Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review

Liu

Yang

et al. 2023

Microsyst Nanoeng

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A bidirectional in vitro brain–computer interface (BCI) directly connects isolated brain cells with the surrounding environment, reads neural signals and inputs modulatory instructions. As a noninvasive BCI, it has clear advantages in understanding and exploiting advanced brain function due to the simplified structure and high controllability of ex vivo neural networks. However, the core of ex vivo BCIs, microelectrode arrays (MEAs), urgently need improvements in the strength of signal detection, precision of neural modulation and biocompatibility. Notably, nanomaterial-based MEAs cater to all the requirements by converging the multilevel neural signals and simultaneously applying stimuli at an excellent spatiotemporal resolution, as well as supporting long-term cultivation of neurons. This is enabled by the advantageous electrochemical characteristics of nanomaterials, such as their active atomic reactivity and outstanding charge conduction efficiency, improving the performance of MEAs. Here, we review the fabrication of nanomaterial-based MEAs applied to bidirectional in vitro BCIs from an interdisciplinary perspective. We also consider the decoding and coding of neural activity through the interface and highlight the various usages of MEAs coupled with the dissociated neural cultures to benefit future developments of BCIs.

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“…Complex electro-chemical processes interact over many different spatial and temporal scales creating multiple layers of adaptive mechanisms that are at the heart of the nervous system's incredible versatility and power [1,80,97,109]. Recent empirical work in neurophysiology provides evidence that the complex information processing that these processes enable is an intrinsic property of various classes of neurons, such that it will arise even in extremely sparse reconstituted networks [100]. The inherent properties of neurons and the structures they build are therefore a very rich source of inspiration for artificial nervous systems intended to generate adaptive behaviour in autonomous mobile robots.…”

Section: Introductionmentioning

confidence: 99%

Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics

et al. 2021

Self Cite

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This paper explores current developments in evolutionary and bio-inspired approaches to autonomous robotics, concentrating on research from our group at the University of Sussex. These developments are discussed in the context of advances in the wider fields of adaptive and evolutionary approaches to AI and robotics, focusing on the exploitation of embodied dynamics to create behaviour. Four case studies highlight various aspects of such exploitation. The first exploits the dynamical properties of a physical electronic substrate, demonstrating for the first time how component-level analog electronic circuits can be evolved directly in hardware to act as robot controllers. The second develops novel, effective and highly parsimonious navigation methods inspired by the way insects exploit the embodied dynamics of innate behaviours. Combining biological experiments with robotic modeling, it is shown how rapid route learning can be achieved with the aid of navigation-specific visual information that is provided and exploited by the innate behaviours. The third study focuses on the exploitation of neuromechanical chaos in the generation of robust motor behaviours. It is demonstrated how chaotic dynamics can be exploited to power a goal-driven search for desired motor behaviours in embodied systems using a particular control architecture based around neural oscillators. The dynamics are shown to be chaotic at all levels in the system, from the neural to the embodied mechanical. The final study explores the exploitation of the dynamics of brain-body-environment interactions for efficient, agile flapping winged flight. It is shown how a multi-objective evolutionary algorithm can be used to evolved dynamical neural controllers for a simulated flapping wing robot with feathered wings. Results demonstrate robust, stable, agile flight is achieved in the face of random wind gusts by exploiting complex asymmetric dynamics partly enabled by continually changing wing and tail morphologies.

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Encoding Temporal Regularities and Information Copying in Hippocampal Circuits

Cited by 7 publications

References 38 publications

A functional network of highly pure enteric neurons in a dish

A functional network of highly pure enteric neurons in a dish

Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review

Recent advances in evolutionary and bio-inspired adaptive robotics: Exploiting embodied dynamics

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