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A miniaturized multi-clamp CMOS amplifier for intracellular neural recording.
Shekar, Siddharth; Jayant, Krishna; Rabadan, M Angeles; Tomer, Raju; Yuste, Rafael; Shepard, Kenneth L.
Afiliação
  • Shekar S; Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
  • Jayant K; Department of Electrical Engineering, Columbia University, New York, NY 10027, USA.
  • Rabadan MA; Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
  • Tomer R; Kavli Institute for Brain Science, Columbia University, New York, NY 10027, USA.
  • Yuste R; NeuroTechnology Center, Columbia University, New York, NY 10027, USA.
  • Shepard KL; Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
Nat Electron ; 2(8): 343-350, 2019 Aug.
Article em En | MEDLINE | ID: mdl-31850397
Intracellular electrophysiology is a foundational method in neuroscience and uses electrolyte-filled glass electrodes and benchtop amplifiers to measure and control transmembrane voltages and currents. Commercial amplifiers perform such recordings with high signal-to-noise ratios (SNRs) but are often expensive, bulky, and not easily scalable to many channels due to reliance on board-level integration of discrete components. Here, we present a monolithic complementary-metal-oxide-semiconductor (CMOS) multi-clamp amplifier integrated circuit capable of recording both voltages and currents with performance exceeding that of commercial benchtop instrumentation. Miniaturization enables high-bandwidth current mirroring, facilitating the synthesis of large-valued active resistors with lower noise than their passive equivalents. This enables the realization of compensation modules that can account for a wide range of electrode impedances. We validate the amplifier's operation electrically, in primary neuronal cultures, and in acute slices, using both high-impedance sharp and patch electrodes. This work provides a solution for low-cost, high-performance and scalable multi-clamp amplifiers.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article