Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we pr...
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
This poster reports the preliminary results of an on-going near infrared spectroscopy (NIRS) study conducted to examine cortical response to visual motion typically found in Virtu...
Zifan Wang, Richard So, Chehin Chan, Arnold Wilkin...
■ Humans are constantly confronted with environmental stimuli that conflict with task goals and can interfere with successful behavior. Prevailing theories propose the existence...
Lawrence G. Appelbaum, David V. Smith, Carsten Nic...
The RF-SLISSOM model integrates two separate lines of research on computational modeling of the visual cortex. Laterally connected self-organizing maps have been used to model how...
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Inspired by optical recordings from visual cortex which show maps of orientation selectivity, and the finding that very similar patterns of population activity occur when the neu...
Denise Berger, David Warren, Richard Normann, Amos...
Nearby neurons in the visual cortex often partially synchronize their spiking activity. Despite the widespread observation of this phenomenon, its importance for visual coding and...
Fernando Montani, Adam Kohn, Matthew A. Smith, Sim...
Recently, a quantitative wiring diagram for the local neuronal network of cat visual cortex was described [T. Binzegger, R.J. Douglas, K.A.C. Martin, A quantitative map of the cir...
Jens Kremkow, Arvind Kumar, Stefan Rotter, Ad Aert...
ll Text][Abstract] , May 1, 2008; 99 (5): 2496-2509.J Neurophysiol T. O. Sharpee, K. D. Miller and M. P. Stryker Natural Stimuli On the Importance of Static Nonlinearity in Estimat...