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» Implementing Sorting Networks with Spiking Neural P Systems
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ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
13 years 10 months ago
A low power merge cell processor for real-time spike sorting in implantable neural prostheses
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
M. D. Linderman, T. H. Meng
ESANN
2006
13 years 6 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
13 years 11 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
ISCAS
2008
IEEE
170views Hardware» more  ISCAS 2008»
13 years 11 months ago
Integrated circuit implementation of a cortical neuron
— This paper presents an analogue integrated circuit implementation of a cortical neuron model. The VLSI chip prototype has been implemented in a 0.35 µm CMOS technology. The si...
Jayawan H. B. Wijekoon, Piotr Dudek
ICES
2003
Springer
111views Hardware» more  ICES 2003»
13 years 9 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...