Ben-Jacob's studies in neuroscience are guided by an effort to simplify the complexity searching for principles of information coding, memory and learning. He has many unique contributions in the field of Systems Neuroscience and Neural Networks, including the relations between network size and its synchronized activity, the discovery of hidden neuron correlations, function-form relations and mutual synchronization in engineered networks, the effect of DNA damage on network synchronization, neuro-glia communication, new modeling of intra- and inter-cell calcium dynamics, using nano technology for network engineering, discovery and modeling of the dynamical motives (repertoire) of coupled neural networks, development of a novel system-level analysis of neural network activity (the functional holography analysis), mapping and assessments of epileptic foci, and more. Yet, the development of the first neuro-memory- chip with his doctoral student at the time, Itay Baruchi, is Ben-Jacob's most important contribution in systems neuroscience. While previous attempts were based on "teaching by reward" (enhancing excitatory synapses) or "teaching by punishment" (inhibition of excitatory synapses), Baruchi and Ben-Jacob's approach was "teaching by liberation", or "inhibition of inhibition" (inhibition of inhibitory synapses). Being recognized as a groundbreaking discovery in systems neuroscience, the achievement was awarded in 2007 the SciAm 50, The Scientific American Award for the 50 most important achievements in all fields of science and technology.