Brain Function: Novel Technologies Driving Novel Understanding - Bioinspired Approaches for Human-Centric Technologies - page 325

Fig. 10.18 Plasmonic nanostructure fabricated on CMOS-MEA. (a) Gold-coated platinum-car-
bon nanocones deposited with EBID. (b) Gold-coated hollow nanocylinders fabricated with
polymer structured with FIB
challenging. IIT's goal is exactly to address these challenges, using a multidis-
ciplinary approach to generate novel ideas and apply novel technology. Technical
challenges include simultaneously monitoring and manipulating thousands of neu-
rons with high-spatiotemporal resolution, exploiting the power of gene transfer and
molecular biology to probe and perturb specific neuronal populations, developing
nanoscale materials and structures to allow novel ways to interrogate and interact
with neurons, and developing analytical tools to make sense of the daunting
complexity of the brain. Data-driven models of brain function will in turn shed
light on the function of the normal and diseased brain and will guide the develop-
ment of truly brain-mimetic artificial devices.
References
Aquino D, Sch¨nle A, Geisler C, Middendorff CV, Wurm CA, Okamura Y et al (2011) Two-color
nanoscopy of three-dimensional volumes by 4Pi detection of stochastically switched
fluorophores. Nat Methods 8:353-359
Belitski A, Gretton A, Magri C, Murayama Y, Montemurro MA, Logothetis NK, Panzeri S (2008)
Low-frequency local field potentials and spikes in primary visual cortex convey independent
visual information. J Neurosci 28:5696-5709
Beltramo R, D'Urso G, Dal Maschio M, Farisello P, Bovetti S, Clovis Y, Lassi G, Tucci V, De
Pietri Tonelli D, Fellin T (2013) Layer-specific excitatory circuits differentially control
recurrent network dynamics in the neocortex. Nat Neurosci 16:227-234
Berdondini L, Overstolz T et al (2001) High-density microelectrode arrays for electrophysiolog-
ical activity imaging of neuronal networks. In: ICECS: The 8th IEEE international conference
on electronics, circuits and systems, Malta
Berdondini L, Imfeld K et al (2009) Active pixel sensor array for high spatio-temporal resolution
electrophysiological recordings from single cell to large scale neuronal networks. Lab Chip
9:2644-2651