Sciweavers

492 search results - page 23 / 99
» Neuronal Models with Current Inputs
Sort
View
AGENTS
2001
Springer
14 years 2 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning
JCNS
2000
86views more  JCNS 2000»
13 years 9 months ago
Computational Modeling of Orientation Tuning Dynamics in Monkey Primary Visual Cortex
In the primate visual pathway, orientation tuning of neurons is first observed in the primary visual cortex. The LGN cells that comprise the thalamic input to V1 are not orientati...
M. C. Pugh, Dario L. Ringach, Robert Shapley, M. J...
IJON
2007
117views more  IJON 2007»
13 years 9 months ago
Learning sensory representations with intrinsic plasticity
Intrinsic plasticity (IP) refers to a neuron’s ability to regulate its firing activity by adapting its intrinsic excitability. Previously, we showed that model neurons combinin...
Nicholas Butko, Jochen Triesch
ASPDAC
2007
ACM
117views Hardware» more  ASPDAC 2007»
14 years 1 months ago
A Current-based Method for Short Circuit Power Calculation under Noisy Input Waveforms
An accurate model is presented to calculate the short circuit energy dissipation of logic cells. The short circuit current is highly dependent on the input and output voltage valu...
Hanif Fatemi, Shahin Nazarian, Massoud Pedram
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 7 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...