Corrigendum: Building an organic computing device with multiple interconnected brains

Recently, we proposed that Brainets, i.e. networks formed by multiple animal brains, cooperating and exchanging information in real time through direct brain-to-brain interfaces, could provide the core of a new type of computing device: an organic computer. Here, we describe the first experimental demonstration of such a Brainet, built by interconnecting four adult rat brains. Brainets worked by concurrently recording the extracellular electrical activity generated by populations of cortical neurons distributed across multiple rats chronically implanted with multi-electrode arrays. Cortical neuronal activity was recorded and analyzed in real time, and then delivered to the somatosensory cortices of other animals that participated in the Brainet using intracortical microstimulation (ICMS). Using this approach, different Brainet architectures solved a number of useful computational problems, such as discrete classification, image processing, storage and retrieval of tactile information, and even weather forecasting. Brainets consistently performed at the same or higher levels than single rats in these tasks. Based on these findings, we propose that Brainets could be used to investigate animal social behaviors as well as a test bed for exploring the properties and potential applications of organic computers.

[1]  David M. Santucci,et al.  Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.

[2]  Jing Wang,et al.  A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information , 2013, Scientific Reports.

[3]  M. Laubach,et al.  Layer-Specific Somatosensory Cortical Activation During Active Tactile Discrimination , 2004, Science.

[4]  George Boole,et al.  The Mathematical Analysis of Logic: Being an Essay Towards a Calculus of Deductive Reasoning , 2007 .

[5]  Robert E. Hampson,et al.  Donor/recipient enhancement of memory in rat hippocampus , 2013, Front. Syst. Neurosci..

[6]  Miguel Nicolelis Beyond Boundaries: The New Neuroscience of Connecting Brains with Machines---and How It Will Change Our Lives , 2011 .

[7]  Á. Pascual-Leone,et al.  Conscious Brain-to-Brain Communication in Humans Using Non-Invasive Technologies , 2014, Brain Stimulation.

[8]  Mikhail A. Lebedev,et al.  Computing Arm Movements with a Monkey Brainet , 2015, Scientific Reports.

[9]  S. Yoo,et al.  Non-Invasive Brain-to-Brain Interface (BBI): Establishing Functional Links between Two Brains , 2013, PloS one.

[10]  Miguel A. L. Nicolelis,et al.  Building an organic computing device with multiple interconnected brains , 2015, Scientific Reports.

[11]  Mikhail A Lebedev,et al.  Simultaneous Top-down Modulation of the Primary Somatosensory Cortex and Thalamic Nuclei during Active Tactile Discrimination , 2013, The Journal of Neuroscience.

[12]  Miguel A. L. Nicolelis,et al.  Methods for Neural Ensemble Recordings , 1998 .

[13]  Zbigniew J. Czech,et al.  Introduction to Parallel Computing , 2017 .

[14]  Norman Biggs,et al.  Combinatorics and Graph Theory , 2007 .

[15]  Rajesh P. N. Rao,et al.  A Direct Brain-to-Brain Interface in Humans , 2014, PloS one.

[16]  Malgorzata Turalska,et al.  Networks of Echoes - Imitation, Innovation and Invisible Leaders , 2014, Computational Social Sciences.