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      Welcome to the Perception and Cognition Lab at the University of California, San Diego, led by Dr. John Serences. We are based in the Department of Psychology, but also participate in the Graduate Program in Neuroscience and the Institute for Neural Computation.


      Overview

      Our research focuses on understanding how behavioral goals influence perception, decision making, and memory. Perception is thought to be based on the activity of sensory neurons that receive input from the world around us (in the form of light, sound, etc.). However, sensory neurons are very noisy and unreliable, so small groups of these neurons must work together to support stable perceptual representations. In addition, a combination of factors such as prior experiences, current expectations, and behavioral goals influence the activity of sensory neurons to bias perception in favor of the most important objects in the environment. What we experience is therefore not merely a product of the raw sensory input, but instead reflects the combined influence of sensory factors and the internal state of the observer. To investigate the influence of behavioral goals and previous experiences on perception and cognition, we employ a combination of psychophysics, computational modeling, and neuroimaging techniques.


      Recent News...

      Eddie's paper Feature-selective attentional modulations in human frontoparietal cortex in press at The Journal of Neuroscience. Parietal and frontal cortex more than just a source of attentional control signals

      Tommy's paper Restoring latent visual working memory representations in human cortex has been accepted at Neuron. Resurrecting working memory representations in visual cortex - evidence for spike-silent mnemonic codes

      Sirawaj wins the Leon Thal Award for outstanding achievement in the neuroscience graduate program @ UCSD - congratulations!

      Sirawaj's paper Integrating levels of analysis in systems and cognitive neurosciences: selective attention as a case study published in The Neuroscientist. What can we learn when different methods (e.g. spikes/EEG/fMRI/VSDI) lead to different linking hypotheses that relate brain activity to behavior?


    Recent review papers and Matlab tutorials

    Publicly available data sets and analysis code (osf.io)