V. Vaingankar

发表

Timespent based models for predicting user retention

Vasudeva Varma, Kushal S. Dave, Vishal Vaingankar, 2013, WWW.

The Role of Constraints in the Development of Receptive Field Structure of Simple Cells Using BCM Learning

Qingbo Wang, Vishal S. Vaingankar, K. Koepsell, 2020 .

Development of Receptive Field Structure of Simple Cell using Spike Timing Dependent Plasticity (STDP)

Ann B. Lee, Qingbo Wang, Xin Wang, 2012 .

Feedforward Excitation and Inhibition Evoke Dual Modes of Firing in the Cat's Visual Thalamus during Naturalistic Viewing

Qingbo Wang, F. Sommer, J. A. Hirsch, 2007, Neuron.

Goal Directed Visual Search Based on Color Cues: Co-operative Effectes of Top-Down & Bottom-Up Visual Attention

Vishal Vaingankar, V. Vaingankar, 2004 .

Spatial scale of receptive fields in the visual sector of the cat thalamic reticular nucleus

F. Sommer, J. A. Hirsch, Xin Wang, 2017, Nature Communications.

Neurons in the thalamic reticular nucleus are selective for diverse and complex visual features

F. Sommer, J. A. Hirsch, Xin Wang, 2012, Front. Integr. Neurosci..

Thalamic interneurons and relay cells use complementary synaptic mechanisms for visual processing

Xin Wang, Friedrich T. Sommer, Vishal Vaingankar, 2010, Nature Neuroscience.

Detection of inconsistent regions in video streams

Ankur Teredesai, Roger S. Gaborski, Vineet Chaoji, 2004, IS&T/SPIE Electronic Imaging.

VENUS: A System for Novelty Detection in Video Streams with Learning

Ankur Teredesai, Roger S. Gaborski, Vineet Chaoji, 2004, FLAIRS.

Cognitively Motivated Habituation for Novelty Detection in Video

Ankur Teredesai, Roger S. Gaborski, Vineet Chaoji, 2003 .