Measurement of electrical activity of long-term mammalian neuronal networks on semiconductor neurosensor chips and comparison with conventional microelectrode arrays

2006 ◽  
Vol 21 (7) ◽  
pp. 1272-1282 ◽  
Author(s):  
Guido Krause ◽  
Stefanie Lehmann ◽  
Mirko Lehmann ◽  
Ingo Freund ◽  
Erik Schreiber ◽  
...  
2014 ◽  
Vol 6 (5) ◽  
pp. 540-544 ◽  
Author(s):  
Sven Schönecker ◽  
Udo Kraushaar ◽  
Martina Düfer ◽  
Anika Sahr ◽  
Carmen Härdtner ◽  
...  

Extracellular recording of the electrical activity of pancreatic islets permits long-term measurements of beta-cell function and reveals oxidant-induced damage and rescue.


1984 ◽  
Vol 8 (3) ◽  
pp. 355-363 ◽  
Author(s):  
Jaromir Svêrák ◽  
Jaroslav Peregrin ◽  
Dagmar Hejcmanová ◽  
Josef Erben

1959 ◽  
Vol 196 (2) ◽  
pp. 343-350 ◽  
Author(s):  
C. Y. Kao

The spontaneous electrical activity of uterine smooth muscle was rather variable when acute observations were made. Therefore, a series of chronic experiments was performed with implanted electrodes to monitor a group of myometrial cells under different physiological conditions for periods up to eight weeks. The results showed that consistent behavior of myometrial cells could be observed provided similar hormonal status was maintained. Action potentials were rare or absent in myometrium of oophorectomized animals but were caused to appear by estrogen. In the pregnant uterus, action potentials increased both in amplitude and frequency of discharge as parturition approached, reached a peak at that time, and then declined in the postpartum days. The results indicated that in estrogen treatment and in parturition activities of myometrial cells were more synchronous. There was suggestive evidence that there were central impulses initiating activity in the pregnant uterus, and that the responses of the myometrium were affected by the local conditions.


2020 ◽  
Author(s):  
Mohammad Hossein Mazaheri Kouhani ◽  
Alexander Istomin ◽  
Proyag Datta ◽  
Neil H. Talbot

Advances in neural prosthetic technologies demand ever increasing novelty in material composition to enhance the mechanical and electrochemical properties of existing microelectrode arrays. Conductive polymers present advantages such as mechanical flexibility, outstanding biocompatibility, remarkable electrical properties and, most of all, cellular agreement. However, for long-term chronic applications, they fall short in their electrochemical endurance and mechanical adhesion to their substrate materials. Multiple electrochemical approaches have been investigated to improve the adherence of Poly(3,4-ethylenedioxythiophene) (PEDOT) to underlying metallic thin films. In this work, an electrochemical treatment of diazonium salt on platinum microelectrodes is incorporated as an electrochemical adhesion promoter for PEDOT and it is further combined with using the highly microporous geometry of Platinum Grey (Pt-Grey); a technology developed by Second Sight Medical Products Inc (SSMP). The intertwined mechanical integration of Pt-Grey and PEDOT molecules together with the covalent binding agency of diazonium salt demostrate a composite coating technology with long-term stability of more than 452 days while providing >70× enhancement to the interfacial capacitive impedance.


2020 ◽  
Author(s):  
Miguel A. Casal ◽  
Santiago Galella ◽  
Oscar Vilarroya ◽  
Jordi Garcia-Ojalvo

Neuronal networks provide living organisms with the ability to process information. They are also characterized by abundant recurrent connections, which give rise to strong feed-back that dictates their dynamics and endows them with fading (short-term) memory. The role of recurrence in long-term memory, on the other hand, is still unclear. Here we use the neuronal network of the roundworm C. elegans to show that recurrent architectures in living organisms can exhibit long-term memory without relying on specific hard-wired modules. A genetic algorithm reveals that the experimentally observed dynamics of the worm’s neuronal network exhibits maximal complexity (as measured by permutation entropy). In that complex regime, the response of the system to repeated presentations of a time-varying stimulus reveals a consistent behavior that can be interpreted as soft-wired long-term memory.A common manifestation of our ability to remember the past is the consistence of our responses to repeated presentations of stimuli across time. Complex chaotic dynamics is known to produce such reliable responses in spite of its characteristic sensitive dependence on initial conditions. In neuronal networks, complex behavior is known to result from a combination of (i) recurrent connections and (ii) a balance between excitation and inhibition. Here we show that those features concur in the neuronal network of a living organism, namely C. elegans. This enables long-term memory to arise in an on-line manner, without having to be hard-wired in the brain.


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