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IJCNN
2007
IEEE
16 years 22 days ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
FASE
2011
Springer
14 years 10 months ago
Automated Learning of Probabilistic Assumptions for Compositional Reasoning
Probabilistic verification techniques have been applied to the formal modelling and analysis of a wide range of systems, from communication protocols such as Bluetooth, to nanosca...
Lu Feng, Marta Z. Kwiatkowska, David Parker
FGR
2008
IEEE
286views Biometrics» more  FGR 2008»
16 years 27 days ago
Complementary computing for visual tasks: Meshing computer vision with human visual processing
We explore the opportunity to harness electroencephalograph (EEG) signals generated during human visual processing to enhance computer vision systems. We review the challenging ta...
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric...
ISDA
2006
IEEE
16 years 13 days ago
From Gene to Drug: A Proof of Concept for a Plausible Computational Pathway
The last decade has witnessed an exponential growth of sequence information in the field of biological macromolecules such as proteins and nucleic acids and their interactions wit...
Sandhya Shenoy, B. Jayaram, N. Latha, Pooja Narang...
BMCBI
2010
116views more  BMCBI 2010»
15 years 6 months ago
SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
Background: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these ...
David B. Burdick, Christopher C. Cavnor, Jeremy Ha...