10th Joint Symposium on Neural Computation

UC Irvine
Beckman Conference Center

Posters: Presented at Lunch

• Anemüller, J Complex independent component analysis of frequency-domain electroencephalographic data
  
  
• Aradi, I Variability of GABAergic synaptic inputs regulates the excitability of hippocampal pyramidal cells: combined dynamic clamp and modeling studies
  
  
• Arnaud, D Variation of EEG source activities with reaction time in a visual attention task
  
  
• Begley, J Visuomotor coordination in a neuromechanical salamander simulation
  
  
• Brücher, F A computationally explicit model of the basal ganglia as a reward-based learning system
  
  
• Chenu, J Automatic evaluation of human-robot interaction
  
  
• Chung, D Reading the road shape
  
  
• Dang, S Spatial phase related nonlinearity in alignment of contours
  
  
• D'Souza, A Bayesian backfitting for high-dimensional regression
  
  
• Finelli, L Effects of a synaptic learning rule on the sparseness of odor representations in a model olfactory system
  
  
• Foldy, C A novel approach to interneuronal heterogenity: diversity beyond means and variances
  
  
• Hershey, J Speech enhancement by audio-visual fusion in a graphical model
  
  
• Littlewort, G Towards sociable robots
  
  
• MacIver, M Omnidirectional sensing in a highly maneuverable animal: the coupling of sensing to locomotion in the weakly electric fish
  
  
• Marks, T Constrained optical flow: an efficient system for nonrigid 3d tracking
  
  
• Mármol Yahya, J A basal ganglia model for the execution of sequences of motor programs
  
  
• McKinstry, J Visual binding through reentrant connectivity and synchronization in a brain-based device
  
  
• Mohajerian, P A unifying computational framework for optimization and dynamic systems approaches to motor control
  
  
• Movellan, J ATRV-I: a dataset for development and evaluation of pose estimation and expression recognition systems
  
  
• Mudhenk, T Modeling schizophrenia and agency recognition. Understanding how it is we know what we did.
  
  
• Navalpakkam, V How intimately may visual attention and object recognition share resources?
  
  
• Naylor, D Models of GABA_A synapses show a reduction of post-synaptic receptor number and predict the loss of inhibitory tone seen during status epilepticus
  
  
• Naylor, D Nonlinear signal analysis applied to neural circuits in the hippocampus and retina
  
  
• Nelson, J A task-sensitive, information theoretic approach to modeling eye movement
  
  

• Nie, K Independent contributions of amplitude and frequency modulations to auditory perception: I. Consonant, vowel, and sentence recognition

• Nowotny, T Learning classification and association in the olfactory system of insects

• Onton, J Event-related EEG dynamics during short-term memory

• Ortega, E Color constancy as probabilistic inference: managing the trade-off between the illuminant prior and scene evidence

• Pesaran, B Eye movements predict target selection in a reach search task

• Peters, J Scaling reinforcement learning paradigms for motor control

• Rodriguez, P Bridging long time gaps in trace conditioning with a CA3 model
  

• Rowat, P State-dependent effects of stochastic spiking upon neuronal burst generation
  

• Santhakumar, V Computational analysis of the factors contributing to post-traumatic network hyperexcitability in the dentate gyrus
  

• Schwartz, N Spatial-frequency phase noise in central and peripheral vision
  

• Schwartz, O Spike count distributions, factorability, and contextual effects in
  area V1

• Sneddon, R Human synaptic development: bottom-up meets top-down
  

• Susskind, J Real-time, adaptive color-based object tracking using generative models
  

• Tseng, C-h, Attentional sensitization to specific colors
  

• Wiewiora, E Learning optimal gaze decomposition
  
  
• Zhigulin, V Robust and sensitive representation of odors in the dynamic competitive model of the antennal lobe
  
  

• Zhou, C, Combining multiple cues for contour detection: lessons from (and to) the visual cortex