Title :
Neuroprocessing trough a new multi-device hybrid architecture
Author :
Fortuna, Luigi ; Frasca, Mattia
Author_Institution :
Dipt. di Ingegneria Elettrica Elettronica e del Sistemi, Univ. degli Studi di Catania
Abstract :
The use of hybrid technologies creates the opportunity to combine nano-scale technologies, microelectronics and neuroscience in order to build devices for non-invasive stimulation and recording of cultured neural cells at nano-level. A hybrid neuro-electronic platform for neuroprocessing is proposed as a means to develop a new intelligent information system biologically inspired. The platform is designed to support both biological and artificial neural networks. In particular, in this work a hybrid system for culturing living cells has been designed that guarantees a reliable neuron-electrode connection and also their trapping inside the well; moreover the development of a digital artificial neural network of neurons has been designed and implemented by FPGA
Keywords :
bioelectric phenomena; biology computing; field programmable gate arrays; neural nets; psychology; FPGA; artificial neural networks; biological neural network; hybrid neuroelectronic platform; intelligent information system; microelectronics; multidevice hybrid architecture; nano-scale technologies; neuroprocessing; neuroscience; noninvasive stimulation; Artificial intelligence; Artificial neural networks; Cells (biology); Hybrid intelligent systems; Information systems; Microelectronics; Nanobioscience; Nanoscale devices; Neurons; Neuroscience;
Conference_Titel :
Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
Conference_Location :
Catania
Print_ISBN :
0-7803-9401-1
DOI :
10.1109/ETFA.2005.1612736