Modulation and detection of single neuron activity using spin transfer nano-oscillators

Autor: Bharath Ramaswamy, Ilya Krivorotov, Edo Waks, Ricardo C. Araneda, Matthew Swierzbinski, Pablo S. Villar, Irving N. Weinberg, Benjamin Shapiro, Yu-Jin Chen, Lucy Venuti, Jens Herberholz, J. M. Algarin
Rok vydání: 2017
Předmět:
Zdroj: Spintronics X.
Popis: The brain is a complex network of interconnected circuits that exchange electrical signals with each other. These electrical signals provide insight on how neural circuits code information, and give rise to sensations, thoughts, emotions and actions. Currents methods to detect and modulate these electrical signals use implanted electrodes or optical fields with light sensitive dyes in the brain. These techniques require complex surgeries or suffer low resolution. In this talk we explore a new method to both image and stimulate single neurons using spintronics. We propose using a Spin Transfer Nano-Oscillators (STNOs) as a nanoscale sensor that converts neuronal action potentials to microwave field oscillations that can be detected wirelessly by magnetic induction. We will describe our recent proof-of-concept demonstration of both detection and wireless modulation of neuronal activity using STNOs. For detection we use electrodes to connect a STNO to a lateral giant crayfish neuron. When we stimulate the neuron, the STNO responds to the neuronal activity with a corresponding microwave signal. For modulation, we stimulate the STNOs wirelessly using an inductively coupled solenoid. The STNO rectifies the induced microwave signal to produce a direct voltage. This direct voltage from the STNO, when applied in the vicinity of a mammalian neuron, changes the frequency of electrical signals produced by the neuron.
Databáze: OpenAIRE