Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

Lambacher, Armin; Vitzthum, Veronika; Zeitler, Ralf; Eickenscheidt, Max; Eversmann, B.; Thewes, R.; Fromherz, Peter

doi:10.1007/s00339-010-6046-9

Cited by 74 publications

(77 citation statements)

References 26 publications

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“…The method for identifying action potentials and assignment to corresponding neurons has been described in a recent report (Lambacher et al, 2010). Briefly, the analysis is done in three steps: (1) identification of threshold crossings of a signal vector V calculated from neighboring extracellular voltages, (2) assignment of threshold crossings to one action potential, and (3) assignment of action potentials to corresponding neurons.…”

Section: Methodsmentioning

confidence: 99%

Network Oscillations in Rod-Degenerated Mouse Retinas

Menzler¹,

Zeck²

2011

J. Neurosci.

113

169

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In the mammalian retina, excitatory and inhibitory circuitries enable retinal ganglion cells (RGCs) to signal the occurrence of visual features to higher brain areas. This functionality disappears in certain diseases of retinal degeneration because of the progressive loss of photoreceptors. Recent work in a mouse model of retinal degeneration (rd1) found that, although some intraretinal circuitry is preserved and RGCs maintain characteristic physiological properties, they exhibit increased and aberrant rhythmic activity. Here, extracellular recordings were made to assess the degree of aberrant activity in adult rd1 retinas and to investigate the mechanism underlying such behavior. A multi-transistor array with thousands of densely packed sensors allowed for simultaneous recordings of spiking activity in populations of RGCs and of local field potentials (LFPs). The majority of identified RGCs displayed rhythmic (7-10 Hz) but asynchronous activity. The spiking activity correlated with the LFPs, whichreflectanaveragesynchronizedexcitatoryinputtotheRGCs.LFPsinitiatedfromrandompositionsandpropagatedacrosstheretina.They disappeared when ionotrophic glutamate receptors or electrical synapses were blocked. They persisted in the presence of other pharmacological blockers, including TTX and inhibitory receptor antagonists. Our results suggest that excitation-transmitted laterally through a network of electrically coupled interneurons-leads to large-scale retinal network oscillations, reflected in the rhythmic spiking of most rd1 RGCs. This result may explain forms of photopsias reported by blind patients, while the mechanism involved should be considered in future treatment strategies targeting the disease of retinitis pigmentosa.

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Section: Methodsmentioning

confidence: 99%

Network Oscillations in Rod-Degenerated Mouse Retinas

Menzler¹,

Zeck²

2011

J. Neurosci.

113

169

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“…However, the required blocking capacitance is often prohibitively large for onchip integration, and is thus inadequate for high-density and/or miniaturized implants. Instead of external capacitors, capacitive electrodes made with high-k dielectric coatings have been investigated for safe neural interfaces [88], [100], [101]. Several other techniques for better charge balancing have been demonstrated: 1) shorting electrodes to ground [102]; and 2) utilizing a discharging resistor [94], active current balancing by feedback control [103], [104], generating additional balancing current pulses by monitoring electrode voltages [105], and embedded DAC calibration [93], [106].…”

Section: Integrated Circuit Interfaces For Stimulationmentioning

confidence: 99%

Silicon-Integrated High-Density Electrocortical Interfaces

Akinin

Park

et al. 2017

Proc. IEEE

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“…The inert and homogeneous surface of the chips formed by TiO 2 will provide chemical stability and biocompatibility. The present study is a starting point for the development of TNCs with a multi-transistor array (MTA) [28,29], which will enable us to record the patterns of local field potentials and of single unit recordings in the brain. Analogous capacitor needle chips (CNCs) may be fabricated for stimulation.…”

Section: Resultsmentioning

confidence: 99%

Transistor needle chip for recording in brain tissue

Felderer

Fromherz

2011

Appl. Phys. A

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We report on a proof-of-principle experiment for the direct interfacing of transistors with intact brain tissue. A transistor needle chip (TNC) with a TiO 2 surface is fabricated from a silicon-on-insulator wafer and impaled into an acute brain slice cut from hippocampus of the rat. While stimulating the Schaffer collateral, a local field potential is recorded in stratum radiatum of the CA1 region with fieldeffect transistors in the central part of the slice where the tissue is not damaged by the cutting process. After the impalement, the signal amplitude is small. Within an hour, it increases to a stable level around −2 mV as is recorded with a conventional micropipette electrode. The recovery indicates that the tissue is able to adapt to the impaled chip. Upon repeated impalements at the same position, the large signal is observed without delay. A profile of the transistor signal across the slice is due to the boundary conditions of a brain slice with both surfaces held near ground potential. The experiments with the TNC prototype are a basis for the development of silicon needle chips with a large multi-transistor array (MTA) for applications in brain-computer interfacing.

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Identifying firing mammalian neurons in networks with high-resolution multi-transistor array (MTA)

Cited by 74 publications

References 26 publications

Network Oscillations in Rod-Degenerated Mouse Retinas

Network Oscillations in Rod-Degenerated Mouse Retinas

Silicon-Integrated High-Density Electrocortical Interfaces

Transistor needle chip for recording in brain tissue

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