Loading Neuron Loading Neuron Loading Neuron


Chevron Forward Description
Chevron Forward Engineering
Chevron Forward Implementation
Chevron Forward Contribution

The neural chip is a highly sensitive device detection and processing device. We faced some challenges along the way in the development of the hardware. We wanted to reduce the noise generated by the device by random firing of neurons, and to make the device as robust as possible. We initially took design inspiration from MEA60 device, for reading data from cortical neurons. This ran into the issue of increased noise due to high number of output electrodes. We decided to keep the number of electrodes to a minimum to reduce on noise. We also increased the surface area of the output electrodes and increased the number of input electrodes, by designing two input electrodes for the same signal, to overcome the issue of one of the electrodes breaking. With each iteration of our chip design we managed to reduce the noise generated by our system and achieved better and more accurate predictions.

First Iteration

Circuit design after first iteration

From this first step, we decided that we needed to use vinyl masks for sputtering and had to increase the number of input electrodes to 6, although the number of input parameters was 3. We kept 2 electrodes for the same input signal.

Second Iteration

Design 1

Design 2

Design 1 worked better than design 2, both in the quality of sputtering and neural connectivity.

Third Iteration

This worked and in the next round of testing, we reported fewer than 10% cell death after a week of incubation.


  1. West, Jonathan & Dinh, Ngoc-Duy & Hardelauf, Heike & Chiang, Ya-Yu & Newman, Tracey & Vargas-Caballero, Mariana & Asuni, Ayodeji & Deinhardt, Katrin & Arundell, Martin. (2015). Bridging Two Cultures: Minimalistic Networks Prepared by Microfluidic Arraying, and Open Access Compartments for Electrophysiology. 10.1007/978-1-4939-2510-0_3.
  2. Ying HS, Gottron FJ, Choi DW. Assessment of cell viability in primary neuronal cultures. Curr Protoc Neurosci. 2001 May;Chapter 7:Unit7.18. doi: 10.1002/0471142301.ns0718s13. PMID: 18428528.
  3. Growing Human Neurons Connected to a Computer
  4. T. B. DeMarse and K. P. Dockendorf, "Adaptive flight control with living neuronal networks on microelectrode arrays," Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2005, pp. 1548-1551 vol. 3, doi: 10.1109/IJCNN.2005.1556108.
  5. Inkscape