Investigation of Extracellular Signal Shapes Recorded by Planar Metal Microelectrodes Covered With Carbon Nanotubes: Modeling and Simulations
Source abstract
Abstract
Bundles of carbon nanotubes (CNTs) arranged in vertical alignment and in normal direction to the surface of a planar metal microelectrode were used to interface neurons and the recording microtransducer. A model of such a hybrid system was developed and implemented in HSPICE to simulate and analyze the electrical interactions and the induced extracellularly recorded neuronal electrical activity as a function of the neuroelectronic junction and CNTs bundle parameters. The results pointed out carbon nanotubes, as electrical interfaces to neurons, act both on the amplitude and the shape of the recorded signals.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Neuroscience and Neural Engineering · Carbon Nanotubes in Composites · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (47)
Show source-provided references
1. 10.1149/1.170186810.1149/1.1701868 ↗
2. 10.1007/s10825-007-0152-810.1007/s10825-007-0152-8 ↗
3. 10.1145/1167943.116794410.1145/1167943.1167944 ↗
4. 10.1109/ICCAD.2004.138257810.1109/ICCAD.2004.1382578 ↗
5. 10.1109/TNANO.2006.88348010.1109/TNANO.2006.883480 ↗
6. 10.1109/TED.2009.202839510.1109/TED.2009.2028395 ↗
7. 10.1016/j.bios.2003.12.00310.1016/j.bios.2003.12.003 ↗
8. 10.1109/TBME.2004.82660710.1109/TBME.2004.826607 ↗
9. 10.1109/PROC.1968.645810.1109/PROC.1968.6458 ↗
10. 10.1103/PhysRevLett.85.518610.1103/PhysRevLett.85.5186 ↗
11. 10.1109/TED.2006.88203510.1109/TED.2006.882035 ↗
12. kovacs · Enabling Technologies for Cultured Neural Networks · 1994 · 121
13. 10.1109/ASPDAC.2007.35807010.1109/ASPDAC.2007.358070 ↗
14. 10.1109/ICCAD.2005.156009810.1109/ICCAD.2005.1560098 ↗
15. 10.1385/JMN:14:3:17510.1385/JMN:14:3:175 ↗
16. 10.1016/j.physa.2004.11.00710.1016/j.physa.2004.11.007 ↗
17. 10.1021/nl050637m10.1021/nl050637m ↗
18. Toward models for CNT devices
19. 10.1109/TCSI.2004.84287110.1109/TCSI.2004.842871 ↗
20. grattarola · Bioelectronics Handbook MOSFETs Biosensors and Neurons · 1998
21. mead · Analog VLSI and Neural Systems · 198910.1007/978-1-4613-1639-8 ↗
22. ramo · Fields and Waves in Communication Electronics · 1994
23. 10.1016/0302-4598(95)01848-910.1016/0302-4598(95)01848-9 ↗
24. 10.1109/TNANO.2009.201394510.1109/TNANO.2009.2013945 ↗
25. 10.1109/5.93981010.1109/5.939810 ↗
26. 10.1109/TBME.2004.82725210.1109/TBME.2004.827252 ↗
27. 10.1109/TCAD.2005.85370210.1109/TCAD.2005.853702 ↗
28. 10.1016/S0165-0270(98)00156-310.1016/S0165-0270(98)00156-3 ↗
29. 10.1088/0957-4484/18/3/03520110.1088/0957-4484/18/3/035201 ↗
30. 10.1038/354056a010.1038/354056a0 ↗
31. 10.1016/0956-5663(95)96931-N10.1016/0956-5663(95)96931-N ↗
32. Carbon nanotubes for interconnect applications
33. gross · Neural Networks Concepts Application and Implementation · 1991 · 47
34. Bistability of membrane conductance in cell adhesion observed in a neuron transistor10.1103/PhysRevLett.79.4705 ↗
35. segev · Methods in Neuronal Modeling From Synapses to Network · 1989 · 63
36. 10.1007/BF0123938110.1007/BF01239381 ↗
37. 10.1109/TED.2008.92285510.1109/TED.2008.922855 ↗
38. 10.1016/j.bios.2007.08.02710.1016/j.bios.2007.08.027 ↗
39. 10.1038/3413910.1038/34139 ↗
40. 10.1021/nl802341r10.1021/nl802341r ↗
41. 10.1109/TNANO.2002.80682310.1109/TNANO.2002.806823 ↗
42. 10.1149/1.242400310.1149/1.2424003 ↗
43. 10.1007/978-3-211-98811-4_6210.1007/978-3-211-98811-4_62 ↗
44. 10.1523/JNEUROSCI.1051-07.200710.1523/JNEUROSCI.1051-07.2007 ↗
45. 10.1088/0034-4885/69/3/R0110.1088/0034-4885/69/3/R01 ↗
46. 10.1039/f1974700180710.1039/f19747001807 ↗
47. 10.1109/TNANO.2003.80850310.1109/TNANO.2003.808503 ↗