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In this letter, we propose a model of nonlinear interaction of inhibitory synapses on dendritic compartments of excitatory neurons that allows the excitatory neurons to mediate inhibitory signals through a subset of the inhibitory population. With this construction, the number of required inhibitory neurons can be reduced tremendously.<\/jats:p>","DOI":"10.1162\/neco_a_01230","type":"journal-article","created":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T21:19:26Z","timestamp":1568668766000},"page":"2252-2265","source":"Crossref","is-referenced-by-count":0,"title":["Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction"],"prefix":"10.1162","volume":"31","author":[{"given":"Felix","family":"Weissenberger","sequence":"first","affiliation":[{"name":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich CH-8092, Switzerland"}]},{"given":"Marcelo Matheus","family":"Gauy","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich CH-8092, Switzerland"}]},{"given":"Xun","family":"Zou","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich CH-8092, Switzerland"}]},{"given":"Angelika","family":"Steger","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Institute of Theoretical Computer Science, ETH Zurich, Zurich CH-8092, Switzerland"}]}],"member":"281","reference":[{"key":"B1","author":"Abadi M.","year":"2015","journal-title":"TensorFlow: Large-scale machine learning on heterogeneous systems"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.23-21-07750.2003"},{"key":"B3","first-page":"54","volume-title":"The computing neuron","author":"Barlow H.","year":"1989"},{"key":"B4","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"Bishop C. 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