CNL-T Alumni
Alumni (switch to current CNL-T members)
Postdoctoral Fellows
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Neural mechanisms of auditory object recognition
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Characterizing the impact of recurrent connections on neural network dynamics and information processing capabilities
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Spatial-temporal receptive field that maximize information transmission
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Modelling stochastic processes in neuroscience and cell biology
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Applying computational storage paradigms to biological systems
Graduate Students
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Random matrix theory approaches for neural network dynamics and for feature selectivity characterization methods.
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Investigating the origin of critical behavior and adaptation in neural networks
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Invariant recognition: learning machines for understanding the manifold representation of data
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Theoretical and neural mechanisms of search behavior
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Characterizing neural computations with maximum noise entropy
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Understanding the adaptive function of mood by finding quantitative approaches
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Influence of learning on cortical encoding of natural auditory signals
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Applying functional bases to obtain a highly interpretable description for computation in the visual cortex
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Using two photon calcium imaging and theory to study symmetries in the neural representation of visual motion
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Neuro-Mechanisms of Visual Processing of Natural Stimuli
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Surround modulation in visual cortex
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Develop and apply novel algorithms to analyze biological datasets
