Neural Recording and Modulation Technologies
By Ritchie Chen, Andrés Canales, Polina Anikeeva. Nature Reviews Materials, 2017
555 citations recorded by the source corpus.
Within the mammalian nervous system, billions of neurons connected by quadrillions of synapses exchange electrical, chemical and mechanical signals. Disruptions to this network manifest as neurological or psychiatric conditions. Despite decades of neuroscience research, our ability to treat or even to understand these conditions is limited by the tools capable of probing the signalling complexity of the nervous system. Although orders of magnitude smaller and computationally faster than neurons, conventional substrate-bound electronics do not address the chemical and mechanical properties of neural tissue. This mismatch results in a foreign-body response and the encapsulation of devices by glial scars, suggesting that the design of an interface between the nervous system and a synthetic sensor requires additional materials innovation. Advances in genetic tools for manipulating neural activity have fuelled the demand for devices capable of simultaneous recording and controlling individual neurons at unprecedented scales. Recently, flexible organic electronics and bio- and nanomaterials have been developed for multifunctional and minimally invasive probes for long-term interaction with the nervous system. In this Review, we discuss the design lessons from the quarter-century-old field of neural engineering, highlight recent materials-driven progress in neural probes, and look at emergent directions inspired by the principles of neural transduction.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a1e0c4431613e4fec42a1961a8dfb1169dd2a039
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Christof Koch
- Nicholas A. Steinmetz
- Matteo Carandini
- Krishna V. Shenoy
- Kenneth D. Harris
- Stephen I. Ryu
- Saurabh Vyas
- Surya Ganguli
In Electrical and Electronic Engineering
- Kenneth D. Harris
- Christof Koch
- Nicholas A. Steinmetz
- Krishna V. Shenoy
- Surya Ganguli
- Matteo Carandini
- Mark J. Schnitzer
- Alex H. Williams
Citations in the corpus
- Challenges and opportunities for large-scale electrophysiology with Neuropixels probes (2018, background): “Research into materials and designs for such applications is ongoing [62,63] but largely parallel to the development of CMOS probes like Neuropixels due to the incompatibility of most of those materials with the high-density CMOS manufacturing methods.”
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017, background): “Recent experimental technologies enable us to record from more neurons, at higher temporal precision, and for 452 much longer time periods than ever before [4, 8, 11], thereby simultaneously increasing the size and complexity of 453 datasets along three distinct modes.”