149 citations · 545 across the 20 of their papers we have counts for
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Input correlations impede suppression of chaos and learning in balanced rate networks
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh +2
Neural circuits exhibit complex activity patterns, both spontaneously and evoked by external stimuli. Information encoding and learning in neural circuits depend on how well time-v…
Optimal Learning with Excitatory and Inhibitory synapses
Alessandro Ingrosso
Characterizing the relation between weight structure and input/output statistics is fundamental for understanding the computational capabilities of neural circuits. In this work, I…
Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model
Furong Huang, Animashree Anandkumar, Christian Borgs +6
Cataloging the neuronal cell types that comprise circuitry of individual brain regions is a major goal of modern neuroscience and the BRAIN initiative. Single-cell RNA sequencing c…